Senior Staff ll, Machine Learning Engineer (Tech Lead)

🏢 Summary: Senior Staff Software Engineer (ML Infra) role focused on building scalable offline and online machine learning platforms for search, ranking, and recommendation systems. The position involves designing and optimizing big data pipelines and real-time ML inference services that process billions of user interactions and petabytes of logs. The engineer will drive end-to-end ML infrastructure to support large-scale model training and high-throughput, low-latency serving. 🗂️ Requirements: Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or related field, 8+ years of professional experience in applied machine learning, Strong experience in machine learning, deep learning, and statistical modeling, Proficiency in Python and/or Java, Experience building production-grade ML systems, Solid knowledge of data structures and algorithms, Experience with big data processing and ETL frameworks, Experience deploying scalable data pipelines processing large-scale data, Experience building high-throughput, low-latency services, Experience with cloud platforms 📃 Skills: Python, Java, Hadoop, Hive, Presto, Spark, Scala, Airflow, TensorFlow, PyTorch, AWS, GCP, ETL, ML, DeepLearning, SQL 🏢 Description: We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview As our Senior Staff Software Engineer, ML infra Engineer for Search & Discovery organization, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online. The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation. This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you. What You Will Do Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines Develop and scale data infrastructure that powers batch and real-time data processing, monitoring, and debugging for ML experiments Drive design and implementation of scalable ML based ranking system and online ML inference services Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies Basic Qualifications Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields 8 years of professional experience in applied machine learning Experience in machine learning, deep learning, and statistical modeling Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning) Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) Experience with ML frameworks such as Tensorflow and Pytorch Experience with deploying highly robust and scalable data pipelines processing petabytes of data Experience in managing mission critical services with high throughput and low latency Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP) Strong verbal and written communication skills Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users Experience with machine learning platform for search & discovery related rankings is a strong plus Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,000K/year to $299,000K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that wouldbe offered to the hired applicant in addition to their established salary range orwage scale. Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:https://www.coupang.jobs/privacy-policy/ Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Job Requisition ID: R0069890

🏢 Summary: Senior Staff Software Engineer role focused on leading the design and development of secure, scalable backend systems, with strong emphasis on security architecture and distributed systems. The position combines hands-on Java development with AWS cloud services, driving authentication, authorization, API security, and secure AI integration at enterprise scale. You will provide technical leadership to ensure reliability, performance, and secure SDLC practices across mission-critical platforms. 🗂️ Requirements: Bachelor’s degree in Computer Science or related field, 8+ years of professional software development and security engineering experience, 7+ years of Java programming experience, Experience designing large-scale distributed systems, Strong knowledge of security architecture, Experience building secure, scalable backend systems, Experience with AWS cloud services, Experience implementing authentication and authorization mechanisms, Experience with cryptography and PKI systems 📃 Skills: Java, Spring, AWS, EKS, S3, Lambda, RDS, IAM, KMS, Microservices, REST, OAuth, OIDC, RBAC, ABAC, SCIM, SSO, Cryptography, PKI, Kubernetes, AI, LLM, RAG, Embeddings 🏢 Description: We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are seeking a highly skilled Senior Staff Software Engineer with deep technical expertise in Security and a passion for building secure, reliable, and scalable systems. This role focuses on technical leadership, architecture, and hands-on development to ensure the security and resilience of our core platforms. You will drive the security, quality, and reliability of backend systems while influencing architecture decisions, mentoring engineers, and partnering with product teams on strategic initiatives. What You Will Do Architect and implement secure, scalable backend systems using Java (Spring Boot) and AWS cloud-native services. Lead technical design reviews, enforce security best practices, and ensure system reliability and performance. Develop and integrate security features such as authentication, authorization, and identity management (SSO, OIDC, RBAC/ABAC, SCIM). Design and implement API security patterns and API authorization at scale for microservices and service mesh environments. Embed Generative AI capabilities (e.g., embeddings, RAG, LLM APIs) into product workflows securely and responsibly. Write and review code, unblock complex technical challenges, and make critical architectural decisions. Champion secure SDLC practices, cryptography standards, and compliance requirements. Collaborate with cross-functional teams to define technical roadmaps and deliver mission-critical systems at scale. Minimum Qualifications Bachelor’s degree in Computer Science or related technical field. 8 years of professional software development and security engineering experience. Proven experience designing and developing large-scale distributed systems. Strong knowledge of security architecture Preferred Qualifications Recent hands-on experience (last 3–4 years) building secure, distributed systems at scale, with strong exposure to AI/ML development and hosting in production environments. Experience with cloud platforms (AWS, Azure, GCP) for identity, ML infrastructure, and secure deployment. Familiarity with Generative AI integration and responsible implementation of LLM-based workflows. Exposure to data security principles, including encryption, secure data pipelines, and compliance frameworks. Ability to influence technical direction and mentor engineers in security best practices. Proven track record of delivering mission-critical, scalable systems in production at enterprise scale. Expertise in Java, Spring Boot, and AWS architecture/services (EKS, S3, Lambda, RDS, IAM, KMS). 7+ years of solid experience with fundamental algorithms, system design, and large distributed systems. Deep experience in cryptography and PKI systems, including certificate management and secure key lifecycle 7+ years of coding experience, specifically in Java. Strong knowledge of security architecture, authentication/authorization, and cryptographic principles. Hands-on experience in building large-scale serving and data infrastructure. Experience with service-oriented architecture and web application/services development Practical experience in utilizing AWS (Amazon Web Services). Experience in designing and constructing machine learning-based applications and systems. Experience in leading cross-team system design and execution. Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,00/year to $299,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that wouldbe offered to the hired applicant in addition to their established salary range orwage scale. Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:https://www.coupang.jobs/privacy-policy/ Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Job Requisition ID: R0067878

🏢 Summary: Engineering leadership role responsible for building and operating core APM retrieval services powering traces and spans search, while defining the technical direction of an AI-enabled APM MCP toolset. The position focuses on scalable distributed systems, APIs, and reliable service operations that expose APM intelligence across UI, CLI, and emerging AI-driven interfaces. It combines hands-on technical leadership with ownership of performance, reliability, and cross-platform integration. 🗂️ Requirements: Experience managing backend or platform engineering teams, Strong expertise in distributed systems architecture, Proven experience designing and operating scalable APIs, Experience with observability platforms and APM systems, Ownership of production reliability and service operations, Ability to define technical direction in AI-driven environments, Experience driving cross-team technical alignment, Eligibility for required US export authorizations 📃 Skills: DistributedSystems, APIs, Observability, APM, Tracing, Spans, Metrics, Microservices, Reliability, DevOps, Telemetry, AI, CLI, Storage, Backend, Platform 🏢 Description: The APM Retrieval team is a strategic platform team shaping how APM data is queried, surfaced, and used in the age of AI. This engineering leader will guide a team responsible for the query path for traces and spans search that powers the Datadog UI, while also leading the evolution of the APM MCP Toolset that enables agentic workflows with access to APM telemetry and intelligence, including metrics, spans, traces, service health, and related capabilities. This role offers the opportunity to lead a future-facing API platform at the intersection of distributed systems, developer experience, and AI-powered product development. The person in this role will help define how Datadog exposes APM intelligence across MCP tools, skills, CLI interfaces, and other emerging surfaces as the ecosystem evolves. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and develop a team building and operating core APM retrieval services that power traces and spans search in the Datadog UI Define technical direction and execution priorities for the APM MCP Toolset and related interfaces that support internal and external agentic workflows Drive cross-functional alignment with platform, storage, frontend, and AI-focused teams to prioritize high-impact platform capabilities Establish and measure success through operational and product KPIs such as token efficiency, discoverability, usage, performance, and downstream task outcomes Own the reliability, deployment, and operational excellence of critical APM services, including services running in ITAR-compliant environments Mentor engineers through hands-on technical leadership, clear accountability, and a strong culture of execution, learning, and continuous improvement Who You Are: You have experience managing engineering teams building backend or platform systems at scale You bring strong technical depth in distributed systems, APIs, service operations, and production reliability You have experience working with observability platforms and operating services with clear availability, performance, and quality goals You are comfortable leading in fast-evolving technical spaces and can translate emerging AI or platform trends into pragmatic team direction You have a track record of driving cross-team prioritization across multiple stakeholders and downstream consumers You are an inclusive people leader who supports engineer growth across experience levels through coaching, feedback, and high standards Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: The offer is for a Machine Learning Systems Engineer focused on optimizing large-scale distributed training systems for frontier models. The role centers on performance profiling, GPU kernel development, and improving throughput, scalability, and reliability of ML training pipelines. It directly supports accelerating model convergence through high-performance systems engineering. 🗂️ Requirements: Bachelor’s, Master’s or PhD in Computer Science, Computer Engineering or related field, Strong proficiency in Python, Extensive hands-on experience with PyTorch, Experience with distributed training using PyTorch Distributed, Experience optimizing ML model training and inference performance, Experience with GPU kernel development in CUDA or Triton, Ability to perform performance profiling and bottleneck analysis, Strong understanding of machine learning concepts and architectures 📃 Skills: Python, PyTorch, CUDA, Triton, Nsight, PyTorchDistributed, GPU, KernelFusion, Sharding, Tiling 🏢 Description: Mission Summary:We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models. What you'll be doing: Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time. Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed. Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads. Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput. What we're looking for: Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline. Software Engineering: Strong proficiency in Python. ML Frameworks: Extensive hands-on experience with PyTorch. ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes. Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.Salary Range$144,000—$192,000 USDMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

🏢 Summary: Leadership role managing a team of Solutions Engineers in a B2B SaaS analytics environment, driving technical pre-sales strategy and customer success. Combines people management, deep data analytics expertise, and cross-functional collaboration to support complex sales cycles and product adoption. Responsible for coaching the team, optimizing technical sales processes, and ensuring successful implementation of analytics solutions. 🗂️ Requirements: 3+ years managing technical pre-sales, solutions engineering, or professional services teams, Experience in B2B SaaS environment, Deep knowledge of data and analytics products implementation, Experience working on complex technical sales cycles, Ability to communicate complex technical concepts to technical and non-technical stakeholders, Experience collaborating with Sales, Product, and Engineering teams, Hands-on experience with product analytics or modern data stack tools 📃 Skills: SaaS, Analytics, CDP, Datawarehousing, Snowflake, BigQuery, Segment, Hightouch, Mixpanel, Amplitude, Pendo, Contentsquare 🏢 Description: About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.About the Role As a Manager on the Solutions Engineering team at Mixpanel, you will lead a talented group of analytics consultants who are pivotal to our success. You will be at the forefront of driving customer value, guiding your team as they serve as the primary technical resources for our Sales organization. This role is a unique blend of leadership, technical expertise, and business strategy. You will be responsible for coaching and developing your team, refining our technical sales processes, and collaborating across departments to ensure our customers achieve their business outcomes with Mixpanel. You will also play a key role in hiring, onboarding, and managing the next wave of Solutions Engineers. By fostering a culture of excellence and deep customer empathy, you will empower your team to architect innovative solutions, drive product adoption, and ultimately secure the technical win with prospects and customers. Responsibilities Develop & Mentor: Lead, coach, and grow a high-performing and inclusive team of Solutions Engineers, actively investing in their career development and upholding a high standard of performance. Drive Results: Partner closely with Sales leadership and Account Executives to provide technical expertise that drives new, retained, and expansion ARR. You will ensure your team's activities are directly contributing to the company's bottom line. Prioritize & Problem Solve: Guide your team through complex customer evaluations and technical challenges. You will manage team resources effectively, aligning the right skills to customer needs to achieve productivity targets and successful outcomes. Cross-Functional Partnership: Act as a key technical liaison, collaborating with peer managers across Sales, Product, and Engineering. You will gather and synthesize customer feedback from your team to influence product strategy and solve problems at scale. Communicate & Manage Change: Effectively translate broader company and departmental strategy into clear, actionable goals for your team. You will guide your direct reports through evolving business priorities with empathy and clarity. Hire the Best: Actively assess the needs of the team, build a pipeline of top talent, and hire outstanding individuals who elevate the team's capabilities and contribute to our inclusive culture. Innovate & Raise the Bar: Relentlessly seek to improve how your team operates, from refining demo strategies and proof-of-concept methodologies to adopting new tools and processes that increase effectiveness and celebrate success. We’re Looking For Someone Who Has progressive experience in a B2B SaaS environment, including 3+ years of people management experience leading a technical pre-sales, solutions engineering, or professional services team. Exhibits a "player-coach" mentality with deep knowledge in the data and analytics space. You are an expert on how data products (like CDPs, data warehouses, and analytics tools) are implemented and adopted by customers. Is a proven cross-functional partner with a track record of successfully working with sales teams to navigate complex deals and drive revenue. Demonstrates expertise in communicating complex technical concepts clearly and effectively to both technical and non-technical stakeholders. Is skilled at prioritizing team activities and managing workload in a dynamic environment, balancing customer needs with efficiency goals. Is a natural mentor and developer of talent, with a passion for coaching and a history of building inclusive, high-achieving teams. Handles ambiguity with ease, demonstrating flexibility and a proactive, problem-solving mindset when adapting to new challenges and business priorities. Actively seeks feedback and is humble to learn, consistently looking for ways to improve themselves and their team. Bonus Points Previous experience in management consulting, strategic operations, or a similar role focused on go-to-market strategy. Direct, hands-on experience with Mixpanel or other product analytics tools like Amplitude, Pendo, or Contentsquare. Strong familiarity with the modern data stack, including tools like Snowflake, Google BigQuery, Segment, or Hightouch. #LI-HybridCompensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.Mixpanel Compensation Range$238,300—$321,705 USDBenefits and Perks Comprehensive Medical, Vision, and Dental Care Mental Wellness Benefit Generous Vacation Policy & Additional Company Holidays Enhanced Parental Leave Volunteer Time Off Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break *please note that benefits and perks for contract positions will vary* Culture Values Make Bold Bets: We choose courageous action over comfortable progress. Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible. Why choose Mixpanel? We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

🏢 Summary: Staff Engineer role focused on mechanical and thermal simulation for next-generation semiconductor packaging and memory devices, including modeling, reliability analysis, and workflow automation. The position involves cross-functional collaboration, validation testing, and development of advanced packaging solutions using industry-standard simulation tools. Daily onsite work in San Jose with some domestic and international travel is required. 🗂️ Requirements: Ph.D. in Mechanical Engineering, Materials Science, Physics, or related field, 3+ years of modeling and simulation experience in semiconductor or high-tech industry, Expertise with ANSYS, Abaqus, HyperMesh, Proficiency with Flotherm and Icepak, Experience with static and dynamic linear and nonlinear simulations, Knowledge of advanced semiconductor packaging and interconnect structures, Experience with reliability modeling techniques, Ability to develop automation scripts in Python, MATLAB, or ANSYS APDL, Technical writing and documentation skills, Ability to work with cross-functional global teams 📃 Skills: ANSYS, Abaqus, HyperMesh, Flotherm, Icepak, Python, MATLAB, APDL, Simulation, Modeling, Thermal, Mechanical, Semiconductor, Packaging, Reliability 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. Join Samsung Semiconductor to guide the development and design evaluation of next‑generation semiconductor packages and memory devices. In this role as a Staff Engineer for Mechanical Simulation, you will partner with cross‑functional, multicultural teams to advance innovative packaging solutions, automate simulation workflows, and bridge the gap between numerical predictions and experimental validation. Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy with 10-20% of domestic and international travel. Reports to: Principal Engineer What You'll Do - Perform advanced numerical modeling and simulation to evaluate and improve the performance and reliability of cutting‑edge semiconductor packages and memory devices. - Provide mechanical and thermal design support throughout package‑ and system‑development stages—from concept and detailed modeling to qualification and reliability testing. - Apply hands‑on expertise in mechanical and thermal modeling of micro‑electronic components, including interconnects, solder joints, BGAs, and advanced‑packaging architectures. - Develop and maintain scripts for process automation (Python, MATLAB, or ANSYS APDL) to streamline pre‑processing, simulation, and post‑processing workflows for parametric and sensitivity studies. - Leverage a solid understanding of semiconductor manufacturing, advanced‑packaging technologies, material properties, and associated design and reliability constraints. - Design, execute, and interpret validation experiments that correlate and calibrate simulation models with empirical data. - Contribute effectively both independently and as a member of cross‑functional, cross‑cultural, and globally distributed teams. What You Bring - Ph.D. in Mechanical Engineering, Materials Science, Physics, or a related field. (Equivalent combination of a Master's degree and extensive professional experience also welcomed). - 3+ years of hands‑on modeling and simulation experience in the high‑tech or semiconductor industry. - Proven expertise with leading simulation tools such as ANSYS, Abaqus, HyperMesh, and their associated pre‑/post‑processing software. - Proficiency in thermal‑analysis platforms Flotherm and Icepak, together with related utilities. - Extensive experience in static and dynamic simulations, covering linear and nonlinear analyses. - Deep knowledge of design strategies for advanced packaging solutions. - In‑depth understanding of advanced semiconductor packaging, interconnect structures, and reliability‑modeling techniques. - Strong technical‑writing skills, capable of producing clear, comprehensive documentation and communicating complex concepts to both technical and non‑technical audiences. - You're inclusive, adapting your style to the situation and diverse global norms of our people. - An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. - You're collaborative, building relationships, humbly offering support and openly welcoming approaches. - Innovative and creative, you proactively explore new ideas and adapt quickly to change. What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. - Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. - Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. - Care for Family including fertility care or adoption support, medical travel support, and virtual vet care. - Prioritize Emotional Wellness with on-demand apps and free confidential therapy sessions. - Stay Fit with onsite café and gym, plus virtual classes. - Embrace Flexibility with a flexible work environment. Base Pay Range $163,000—$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel. Our Commitment to Innovation and Fairness At Samsung Semiconductor, AI tools may be used in the recruitment process to enhance efficiency, but all hiring decisions are made by human recruiting teams and hiring managers. Applicant AI Use Policy Candidates may use AI tools for preparation, grammar, and research, but not for generating submitted content or live interview responses. Trade Secret Notice By submitting an application, you agree not to disclose confidential or proprietary information belonging to a current or former employer or other entity.

🏢 Summary: Staff Software Engineer AI/ML role focused on building and productionizing agentic AI systems and next-generation ML/LLM solutions. The position involves designing, fine-tuning, and deploying large-scale models, integrating them into autonomous workflows, and driving experimentation to deliver scalable, reliable AI capabilities. Daily onsite collaboration with cross-functional engineering teams to develop generative and agentic AI frameworks. 🗂️ Requirements: MS or PhD in Computer Science, Electrical Engineering, or related field with ML focus, 4+ years experience in machine learning role, Strong research background in machine learning, computer vision, or natural language processing, Hands-on experience training or fine-tuning large-scale ML or LLM models, Experience with PyTorch or TensorFlow, Experience building and productionizing end-to-end ML systems, Proficiency in Python 📃 Skills: Python, PyTorch, TensorFlow, MachineLearning, DeepLearning, LLM, NLP, ComputerVision, MLOps, GenerativeAI 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.Staff Software Engineer AI/ML Samsung DSA has launched a new AI initiative to build the foundational capabilities for practical, agentic AI systems. The AI Innovation team is the driving force behind this vision, leading innovation at the intersection of machine learning and system engineering to develop and operate our next-generation Agentic AI framework. We aim to enable LLMs to autonomously plan, retrieve information, coordinate with tools, and execute multi-step workflows across our internal knowledge ecosystem. We are actively seeking talented Machine Learning Engineers specializing in building next-generation AI/ML solutions. Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy What You'll Do Collaborate with cross-functional teams of engineers and architects to identify and develop Generative and Agentic AI solutions that drive business value Design and implement customized ML models and execute experiments to evaluate the performance of algorithms and identify areas for improvement Finetune and optimize pre-trained large-scale ML models, and deploy them into production environments ensuring scalability and reliability Integrate AI/ML models into agentic AI systems to enhance creativity, productivity, and personalization Create new capabilities that solve critical business problems and influences business leaders to shape product and technology strategy What You Bring MS or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on Machine Learning. 4+ years of experience in an ML role with an emphasis on data and experiment driven model development Strong research experience in machine learning, computer vision, and/or natural language processing Practical experience training or fine-tuning large-scale ML or LLM models is highly desirable Experience with ML frameworks such as PyTorch and TensorFlow Experience building and productionizing innovative end-to-end Machine Learning systems Proficiency in one or more coding languages such as Python Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR) are a plus You're inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-VL1 What We OfferThe pay range below is for all roles at this level across all US locations and functions. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you.Base Pay Range$141,000—$219,000 USDEqual Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate's genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process. Applicant Privacy Policyhttps://semiconductor.samsung.com/about-us/careers/us/privacy/

🏢 Summary: Senior-level ML engineering role focused on defining architecture and technical strategy for large-scale multimodal machine learning systems powering data discovery and model improvement in autonomous driving. The position leads cross-functional initiatives, builds scalable data mining and real-time inference frameworks, and sets engineering standards across the organization. It combines hands-on system design with technical leadership and mentorship. 🗂️ Requirements: BS in Computer Science, Machine Learning or related field (or equivalent experience), 8+ years of hands-on ML engineering experience, Proven ownership of architecture, deployment and optimization of large-scale ML systems, Experience with multimodal foundation models in production (integration, scaling, fine-tuning, deployment), Demonstrated technical leadership across multi-quarter, multi-person initiatives, Expert-level Python proficiency, Strong experience with PyTorch, TensorFlow or JAX, Strong software engineering fundamentals (system design, CI/CD, containerization), Experience deploying ML models in AWS, GCP or Azure, Experience optimizing ML systems for latency, throughput and hardware efficiency, Ability to mentor engineers and drive cross-team technical alignment 📃 Skills: Python, PyTorch, TensorFlow, JAX, AWS, GCP, Azure, CI/CD, Docker, Kubernetes, GPU, CPU, DeepLearning, ActiveLearning, GenerativeAI, MLOps, Triton, TorchServe, TFServing 🏢 Description: Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for the machine learning systems that power our data discovery and model improvement lifecycles. Rather than focusing on a single specialized domain, you will leverage your broad ML expertise to architect massive, scalable systems, from multimodal representation learning and active learning loops to hyper-efficient production inference. You will own system-level architecture, lead multi-quarter, multi-person initiatives, and partner across the engineering organization to unblock teams and influence department-wide technical strategy. By establishing robust processes and mentoring others, you will ensure ML platforms act as a reliable, mission-critical engine for the autonomy stack. What You'll Do: Define Technical Strategy & Roadmaps: - Develop and execute multi-quarter, high-impact technical roadmaps for core ML systems - Inform leadership to guide reprioritization aligned with OKRs and KPIs Architect System-Level Solutions: - Own system-level architecture for complex ML products - Design scalable frameworks for massive data mining and optimized real-time inference across GPU/CPU clusters Drive Cross-Functional Execution: - Lead multi-person projects across teams to completion - Influence partner team roadmaps to solve shared problems and build alignment Elevate Engineering Excellence: - Establish standards for ML system design, code quality, testing and deployment - Deliver processes to proactively address issues and participate in incident response planning Operate as a Generalist Expert: - Apply deep learning, representation learning, active learning and generative AI techniques to complex problems - Unblock teams facing unprecedented technical challenges Mentor and Lead: - Coach senior and junior engineers - Lead architectural reviews and contribute to engineering culture through documentation and tech talks What We're Looking For (Must-Haves): - BS in Computer Science, Machine Learning or related field (or equivalent practical experience) - 8+ years of hands-on ML engineering experience with large-scale ML systems - Experience with multimodal foundation models in production systems (camera, LiDAR, radar, text) - Demonstrated technical leadership across multi-quarter initiatives - Expert-level Python and experience with PyTorch, TensorFlow or JAX - Strong software engineering fundamentals including system design, CI/CD and containerization - Experience deploying ML models in AWS, GCP or Azure and optimizing for latency and throughput - Proven ability to mentor peers and drive consensus across teams Bonus Points: - MS or PhD in Computer Science, Machine Learning or related field - Background in autonomous driving, robotics or real-time decision-making systems - Experience with large-scale ML data mining, active learning loops and representation learning - Familiarity with multimodal learning, sensor fusion or large foundation models - Experience with model serving tools such as TF Serving, Triton or TorchServe - Experience leading severity reviews or establishing incident response processes for ML platforms Work Arrangement: Hybrid schedule with in-office time in Boston, Pittsburgh or Las Vegas, or fully remote. Compensation & Benefits: Salary range: $205,000—$272,500 USD (base salary). Additional compensation may include bonus or company equity. Eligible employees may participate in benefits including medical, dental, vision, 401k with company match, health savings accounts, life insurance and pet insurance.

🏢 Summary: Machine Learning Engineer role focused on building and scaling ML-powered data mining pipelines for multimodal autonomous driving data, leveraging foundation models to discover rare edge cases and improve model performance. The position involves training and deploying models, developing embedding-based search and active learning workflows, and supporting production monitoring. You will collaborate across teams to translate ML prototypes into scalable, production-ready systems. 🗂️ Requirements: BS or MS in Computer Science, Machine Learning, or related field, Hands-on experience with PyTorch, TensorFlow, or JAX, Strong proficiency in Python, Experience with SQL and large-scale datasets, Proficiency with Pandas and NumPy, Knowledge of version control and unit testing, Understanding of full ML lifecycle from data preparation to deployment 📃 Skills: Python, PyTorch, TensorFlow, JAX, SQL, Pandas, NumPy, LiDAR, CI/CD, Git 🏢 Description: Mission Summary:At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval. Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments. Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios. Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services. Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation. Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions. What We're Looking For (Must-Haves): BS or MS in Computer Science, Machine Learning, or a related field. Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics. Strong proficiency in Python with the ability to write clean, modular, and well-documented code. Working knowledge of version control, unit testing, and basic software design patterns. Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy. A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics. A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment. Bonus Points (Nice-to-Haves): MS/PhD in Computer Science, Machine Learning, or related field. Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning. Background in autonomous driving, robotics, or real-time decision-making systems. Familiarity with multimodal learning, sensor fusion, or embodied AI. Experience building active learning loops, using the model to find the data that breaks the model. Experience with ML-based data mining, active learning, or contrastive learning. Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms. Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV) We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.Salary Range$144,000—$192,000 USDMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

🏢 Summary: Lead research and architecture design for next-generation AI systems, focusing on rack-scale co-design of AI workloads, memory, interconnects, and high-performance RISC-V CPUs. The role drives system-level modeling, simulation, and micro-architecture innovation to eliminate memory and bandwidth bottlenecks in large-scale AI platforms. It combines deep technical leadership with hands-on architecture research and cross-functional collaboration. 🗂️ Requirements: Ph.D. in Computer Science, Electrical Engineering, or related field, 10+ years in system-level architecture research or large-scale computing platform design, Expertise in AI workload-focused system architecture design, Strong experience in performance modeling and event-driven simulation, Deep knowledge of RISC-V, ARM, or x86 CPU architectures, Experience designing out-of-order CPU micro-architectures, Proficiency in transaction-level modeling (TLM), Experience with large-scale design-space exploration and PPA analysis, Hands-on programming experience in Python and C++, Ability to lead technical research teams and define architecture roadmaps 📃 Skills: RISC-V, ARM, x86, TLM, Python, C++, PPA, Simulation, Modeling, Microarchitecture 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.What You'll Do Lead cutting‑edge research on next‑generation AI system architectures. The role is responsible for end‑to‑end co‑design of AI workloads, system‑level modeling, hardware platforms, and high‑performance processors that leverage Samsung's advanced memory technologies to eliminate capacity, bandwidth, and large‑scale communication bottlenecks. Location: Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy AI System Architecture Leadership Define system‑level architectures that solve memory‑capacity, bandwidth, and interconnect challenges for large AI workloads (e.g., large language models, recommendation systems). Build and maintain analytical and event‑driven simulation frameworks for compute‑memory‑network performance at rack scale. Conduct design‑space exploration and quantitative trade‑off studies (performance, power, cost) to guide architecture decisions. Partner with SAIT HQ teams to align modeling insights with real‑world AI system implementations. RISC‑V CPU Architecture Leadership Architect high‑performance, out‑of‑order RISC‑V CPU cores that serve as host processors for AI computing systems. Drive IPC‑focused feature path‑finding; lead micro‑architecture research through performance‑model simulation and workload analysis. Produce detailed micro‑architecture specifications and guide cache/memory hierarchy design for optimal AI workload execution. Research & Innovation Management Lead a multidisciplinary research team, set technical roadmaps, and ensure delivery of high‑impact publications. Present architectural insights and strategic recommendations to senior leadership and external partners. What You Bring Education: Ph.D. in Computer Science, Electrical Engineering, or a related field. Experience: 10+years in system‑level architecture research or large‑scale computing platform design, with a strong focus on AI workloads. Technical Expertise: Performance modeling, event‑driven simulation, and quantitative analysis of compute‑memory‑interconnect systems. Deep knowledge of modern CPU/accelerator architectures (RISC‑V, ARM, x86) and heterogeneous integration. Proven ability to design rack‑scale AI system architectures that address memory, bandwidth, and interconnect constraints. Proficiency with transaction‑level modeling (TLM) and event‑driven simulation for compute‑memory‑network co‑design. Experience in large‑scale design‑space exploration and PPA (performance, power, area/cost) trade‑off analysis. Expertise in architecture and micro‑architecture design of out‑of‑order CPUs. Hands‑on experience with simulation tools and programming languages such as Python and C++. Communication Skills: Excellent written and verbal communication; proven ability to deliver technical presentations to senior stakeholders. Preferred Experience Proven track record of publishing high‑impact research papers. Experience influencing product roadmaps through architectural recommendations. Strong collaborative history with cross‑functional teams (hardware, software, memory technology). You're inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change #LI-SF1 What We OfferThe pay range below is for all roles at this level across all US locations and functions. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you.Base Pay Range$246,000—$430,000 USDEqual Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policyhttps://semiconductor.samsung.com/about-us/careers/us/privacy/