Technical Recruiter (Defense Tech)

🏢 Summary: Full Stack ML Engineer role focused on rapidly prototyping and building AI-driven full-stack tools, ML systems, and scalable infrastructure to support researchers and entrepreneurs. The position combines machine learning expertise with front-end and back-end development to deliver production-ready AI products. It involves developing, optimizing, and deploying robust ML pipelines in a fast-paced, innovation-driven environment. 🗂️ Requirements: Bachelor's degree in Computer Science or equivalent practical experience, 5+ years of software development experience, 3+ years of experience building production ML systems and infrastructure, Strong knowledge of data structures and algorithms, Experience in data engineering with SQL or Spark, Proficiency in JavaScript and React, Experience with backend development in Python or Rust, 2+ years of experience with ML frameworks, Experience working with AI accelerators such as GPUs or TPUs 📃 Skills: Python, Rust, C++, JavaScript, React, SQL, Spark, PyTorch, TensorFlow, JAX, Ray, MLFlow, GPUs, TPUs, BERT, Transformers 🏢 Description: About Us Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems.About the Role: We are seeking a self-starting Full Stack ML Engineer to join our venture studio engineering team. In this role, you will rapidly prototype and develop tools, visualizations, and products that empower researchers and entrepreneurs to build AI-driven startups. This position requires deep expertise in machine learning, proficiency across the full stack, and the ability to work independently in a fast-paced, innovative environment. This is a remote role, with travel expectations to attend our bi-annual All Hands and other travel as needed (~10% or less). Responsibilities: Rapidly prototype and build full-stack tools and visualizations to support researchers and entrepreneurs. Design, implement, test, and debug code across front-end, back-end, and data pipelines. Collaborate with research teams to translate cutting-edge ML techniques into production-ready solutions. Work with entrepreneurs and users to gather requirements, incorporate feedback, and iterate on product development. Develop and optimize robust pipelines for model fine-tuning, evaluation, and deployment. Establish best practices for reliable and reproducible ML model development. Contribute to the creation of scalable, high-performance infrastructure for AI-driven products. Minimum Qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 5 years of experience in software development (e.g., C++, Python, Rust) with a focus on data structures and algorithms 3 years of experience building production-quality machine learning systems and infrastructure, with deep expertise on data engineering (SQL/Spark) Proficiency in JavaScript, React, and other web technologies for front-end development. Experience with backend languages (preferably Python or Rust) and system design. 2 years of experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX, Ray, MLFlow) and AI accelerators (e.g., GPUs, TPUs). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Hands-on experience with large language models (LLMs), generative AI, or natural language processing. Familiarity with model architectures (e.g., transformers, encoders, decoders) and post-training techniques. Experience launching AI-driven products or working with technical customers Proficiency in distributed computing, containerizing ML workloads, and debugging complex ML pipelines. Strong interest in AI safety and responsible deployment 2+ years of experience working in an early stage (Seed / Series A) startup You Might Thrive in This Role If You: Are a versatile team player comfortable with ambiguity and rapid iteration. Excel at building maintainable backend infrastructure and user-facing products. Can balance research exploration with engineering rigor and operational reliability. Have a track record of shipping high-quality software under tight deadlines Enjoy collaborating across research, engineering, and entrepreneurial teams to drive innovation. Representative Projects: Optimizing inference request routing to maximize compute efficiency Scoping an AI Agent Architecture to automate a business need or be a part of a new feature for a new incubation we are working on. Contributing to new inference features (e.g. structured sampling, fine tuning) Supporting inference for new model architectures Building a custom BERT model for bespoke classification needs Ensuring smooth and regular deployment of inference services Analyzing observability data to tune performance based on production workloads Salary Range: $140,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors. #LI-RCP Our Red Cell Partners Benefits: For full-time roles Career track opportunity with potential for rapid advancement with strong performance as the firm grows 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. Paid maternity and paternity for 14 weeks at employees' normal pay. Unlimited PTO, with management approval. Opportunities for professional development and continued learning. Optional 401K, FSA, and equity incentives available. Mental health benefits are available through Tara Mind. Cost effective GLP-1 solutions available through Crux. We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. Applicant Data Disclosure By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes: Managing and administering your application throughout the hiring process; Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases; Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories. Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com. Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies. For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.

🏢 Summary: Engineering Manager role leading a client-facing team responsible for delivery and site operations of a financial services web platform, with a strong focus on AI-augmented workflows and engineering excellence. The position combines technical leadership, SRE practices, and modernization of development processes through automation and AI tooling. This is a hybrid role requiring collaboration with cross-functional teams and direct client engagement. 🗂️ Requirements: 3+ years of engineering management experience, Experience managing and mentoring software engineers, Proficiency in JavaScript/TypeScript, HTML/CSS, React, Node.js, Understanding of web application architecture (client-server, RESTful services, microservices), Experience with code reviews and testing strategies (unit, integration, end-to-end), Experience with Agile/Scrum methodologies, Familiarity with CI/CD pipelines and deployment tooling, Experience with AI-assisted development tools, Familiarity with agentic workflows or automation frameworks, Understanding of web analytics tools, Familiarity with SQL and NoSQL databases, Knowledge of WCAG accessibility standards, Familiarity with SOC2 processes and controls, Understanding of OWASP guidelines and data protection regulations 📃 Skills: JavaScript, TypeScript, HTML, CSS, React, Node.js, REST, Microservices, CI/CD, Harness, GitHub, GitHubActions, Copilot, Cursor, Claude, SQL, NoSQL, GoogleAnalytics, Mixpanel, WCAG, SOC2, OWASP, GDPR, CCPA, Agile, Scrum 🏢 Description: This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week. Red Ventures Growth and Transformation partners with financial institutions to build digital products, customer platforms, and marketing technology solutions that drive acquisition, deepening, and retention. Red Ventures is looking for a technically strong, growth-minded Engineering Manager to lead a client-facing engineering team within our Banking Client Services organization. You’ll own the engineering delivery and site operations for a financial services’ web presence, leading a small team today with a clear path to growth as the client partnership expands. What sets this role apart: you’ll operate at the intersection of client-facing engineering leadership and modern AI-augmented workflows. Our teams are actively integrating agentic tooling and automation into how we code, manage tickets, maintain compliance, and solve problems alongside our business and data science partners. We’re looking for someone who is energized by this shift and ready to lead a team through it. This role reports to the Director of Engineering and will serve as the technical lead on client engagements when needed, with the Director’s support. The ideal candidate has strong communication instincts and the desire to grow into an increasingly senior client-facing leadership role over time. Travel to partner locations is an expected component of this role to support relationship management and business objectives. Curious how Growth and Transformation fits into Red Ventures? Click here. What You’ll Do: Team & Client Leadership Lead a team of software engineers responsible for the engineering delivery and site operations of a financial services web platform. Serve as the technical lead on client calls and escalations, communicating complex technical topics clearly to both technical and non-technical stakeholders. Collaborate with designers, customer experience leads, business stakeholders, and leadership to deliver high-quality solutions that strengthen client trust. Position engineers for success through coaching, mentorship, regular feedback, and personal development planning. AI & Process Modernization Champion the adoption and effective use of agentic workflows and AI-assisted tooling for coding, ticket management, compliance, and engineering process improvement. Leverage internally-built automation and AI tooling to increase team efficiency, reduce manual toil, and improve delivery quality. Partner with business and data science teams to identify and implement AI-driven solutions to operational and client-facing problems. Stay current with emerging AI/ML tooling for software development (IDE integrations, CLI agents, code review automation) and evaluate their fit for the team. Site Operations & Engineering Excellence Drive SRE best practices: observability, incident response, reliability, and operational maturity for client-facing web properties. Improve engineering processes, CI/CD pipelines, code quality, and testing practices across the team. Demonstrate project and roadmap planning skills, balancing client commitments with operational health and team investment. What We’re Looking For: Leadership & Communication Experience managing and mentoring software engineers, including coaching, delivering feedback, and supporting career growth. Strong verbal and written communication skills with the ability to translate technical concepts for non-technical audiences, including client stakeholders. Skills in managing team dynamics, navigating conflict constructively, and building a collaborative, psychologically safe environment. Experience collaborating across functions: design, marketing, data science, and business partners to align on priorities and deliver outcomes. Comfort operating as a technical lead on client-facing calls and escalations with leadership support. 3+ years of engineering management experience Software Engineering Proficiency in web development languages and frameworks (e.g., JavaScript/TypeScript, HTML/CSS, React, Node.js). Understanding of web application architecture: client-server models, RESTful services, and microservices. Strong emphasis on code quality: code reviews, testing strategies (unit, integration, end-to-end), and engineering best practices. Experience with Agile/Scrum methodologies and managing delivery through sprints and iterative planning. Familiarity with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions). AI Fluency & Automation Mindset Demonstrated comfort with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude, or similar IDE/CLI integrations). Familiarity with agentic workflows or automation frameworks used to streamline engineering, compliance, or operational processes. A proactive mindset toward identifying opportunities to apply AI and automation to reduce toil and improve outcomes. Willingness to experiment, evaluate new tooling, and lead a team through adoption of emerging AI capabilities. Data, Accessibility & Security Understanding of web analytics tools (e.g., Google Analytics, Mixpanel) and the ability to use data to inform engineering decisions. Familiarity with databases (SQL and NoSQL) and their integration with web applications. Knowledge of WCAG accessibility standards and experience implementing accessibility testing practices. Familiarity with process and controls required in SOC2 operations. Demonstrated experience leading in SOC2 environments preferred. Understanding of web security principles (OWASP guidelines) and data handling regulations (e.g., GDPR, CCPA), particularly important in a financial services context. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range Charlotte, NC Hybrid Compensation Range: $130,000 - $210,000 per year New York, NY Hybrid Compensation Range: $162,500- $262,500 per year Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. #LI-KS1 #LI-HYBRIDClick here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

🏢 Summary: Hybrid Software Engineer role focused on building and operating financial services web platforms using Next.js within high-availability, multi-cloud Kubernetes environments. The position emphasizes AI-assisted development, automation, and agentic workflows to enhance engineering delivery and operational excellence. Engineers collaborate cross-functionally while contributing to SRE practices and cloud-native infrastructure. 🗂️ Requirements: 3–5 years of software engineering experience, Proficiency in JavaScript and TypeScript, Strong experience with React and Node.js, Hands-on experience with Next.js, Production experience with Kubernetes, Experience with multi-cloud environments (AWS, GCP, or Azure), Understanding of RESTful APIs and microservices architecture, Experience with server-side rendering, Experience with testing (unit, integration, end-to-end), Experience with CI/CD pipelines, Experience building automation or internal tooling, Proficiency with AI-assisted development tools, Ability to work hybrid in Charlotte, NC or New York, NY, Authorization to work in the U.S. without visa sponsorship 📃 Skills: JavaScript, TypeScript, React, Node.js, Next.js, Kubernetes, AWS, GCP, Azure, REST, Microservices, CI/CD, Harness, GitHubActions, GitHubCopilot, Cursor, Claude, SQL, NoSQL, GoogleAnalytics, Mixpanel 🏢 Description: This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week. Red Ventures is looking for a Software Engineer to join our Banking Client Services organization. You’ll build and operate financial services web platforms for our banking partners using Next.js, hosted in high-availability multi-cloud Kubernetes environments. You’ll do it within a team that treats AI and automation as fundamental to how modern software gets built. Our engineering group is AI-forward. We’ve integrated agentic workflows and automation into coding, ticket management, compliance, and cross-functional problem-solving and we expect every engineer to actively contribute to that momentum. You’ll use AI-assisted tools daily, build automation that makes the team faster, and partner with business and data science teams to apply AI to real problems. This is an IC engineering role reporting to an Engineering Manager with a clear path for growth as our client partnerships expand. Curious how Growth and Transformation fits into Red Ventures? Click here. What You’ll Do: Engineering Delivery Build and maintain financial services web platforms using Next.js (React, TypeScript) with a focus on performance, reliability, and partner-grade quality. Deploy and operate applications in high-availability, multi-cloud Kubernetes environments, contributing to infrastructure-as-code, CI/CD pipelines, and deployment automation. Contribute to SRE practices: observability, alerting, incident response, and operational maturity for client-facing web properties. Write well-tested, reviewable code and actively participate in code reviews, advocating for quality across the team. Collaborate with designers, business stakeholders, and data science partners to deliver solutions that strengthen client trust. AI & Automation Build and maintain agentic workflows and automation that improve engineering delivery, spanning coding assistance, ticket management, compliance processes, and operational tasks. Use AI-assisted development tools (IDE integrations, CLI agents, code review automation) as a core part of your daily workflow to accelerate output and improve quality. Partner with business and data science teams to identify automation opportunities and build AI-driven solutions to operational and client-facing problems. Evaluate emerging AI/ML tooling for software development and recommend adoption where it reduces toil or improves outcomes. Develop internal tooling and developer experience improvements that help engineers across teams move faster. What We’re Looking For: Software Engineering (3–5 Years Experience) Strong proficiency in JavaScript/TypeScript, React, and Node.js. Hands-on experience with Next.js is strongly preferred. Experience deploying and operating applications on Kubernetes in production environments. Familiarity with multi-cloud architectures (AWS, GCP, or Azure) is a plus. Solid understanding of web application architecture: client-server models, RESTful APIs, microservices, and server-side rendering. Demonstrated emphasis on code quality: testing strategies (unit, integration, end-to-end), code review practices, and engineering best practices. Experience with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions). Familiarity with Agile/Scrum methodologies and iterative delivery within sprint-based workflows. AI Fluency & Automation Demonstrated experience building automation, internal tooling, or agentic workflows. Proficiency with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar IDE and CLI integrations. A builder’s mindset: you actively look for opportunities to automate repetitive work, streamline processes, and apply AI to engineering problems. Willingness to experiment with emerging AI capabilities and drive adoption through working examples and documentation. Collaboration & Communication Clear written and verbal communication skills. Ability to explain technical decisions to peers and cross-functional partners. Comfort working across functions, you’ll collaborate regularly with data science, business, and design teams. A collaborative, team-first approach. You contribute to a psychologically safe environment and share knowledge freely. Nice to Have: Familiarity with web analytics tools (e.g., Google Analytics, Mixpanel) and using data to inform engineering decisions. Experience with databases (SQL and/or NoSQL) and their integration with web applications. Understanding of container orchestration and cloud-native tooling beyond Kubernetes basics. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range: Charlotte, NC Hybrid Compensation Range: $80,000 – $140,000 per year New York, NY Hybrid Compensation Range: $100,000 – $175,000 Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. #LI-KS1 #LI-HYBRIDClick here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

🏢 Summary: Senior AI Engineer role focused on building agentic conversational systems for recruiting, leveraging large language models and advanced NLP to create intelligent, goal-driven AI assistants. The position involves designing, developing, and deploying scalable ML pipelines and autonomous AI workflows in production. The role combines hands-on ML engineering with technical leadership in a global, cross-functional environment. 🗂️ Requirements: BSc or MSc in Computer Science, Machine Learning, AI, NLP or related field or equivalent experience, 5+ years of experience developing and deploying machine learning systems in production, Proven expertise in NLP techniques, LLM fine-tuning and model evaluation, Strong proficiency with deep learning frameworks, Advanced Python programming skills, Experience designing and maintaining end-to-end ML pipelines from data ingestion to deployment, Fluency in English, written and spoken 📃 Skills: Python, PyTorch, TensorFlow, scikit-learn, HuggingFace, NLP, LLM, MachineLearning, DeepLearning, MLOps, DataPipelines 🏢 Description: Company Description 🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams. 🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem. We designed our R&D structure based on the empowered product teams model. It means our teams are responsible for business outcomes and have autonomy in solving problems in the way that “customers love yet work for the business” (yes, we are heavily influenced by this and that ). Job Description We are looking for a Senior AI Engineer to join our Chat Group, where we’re building the next generation of intelligent conversational systems for the recruiting industry. Our mission is bold yet simple: boost the efficiency of recruiting and hiring teams and deliver the most personalized experience ever - powered by cutting-edge ML, NLP, and agentic AI You’ll play a central role in designing and developing agentic workflows, where autonomous AI agents collaborate, reason, and act to deliver intelligent and context-aware recruiting experiences at scale . At SmartRecruiters, you’ll be part of a global, high-impact team shaping how people connect with jobs.You’ll work with passionate peers across Germany, Poland, the UK, and the US - in a culture that values autonomy, innovation, and measurable outcomes. We’re not just building chat systems - we’re building the AI recruiting assistants of the future. What You’ll Do: Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem Qualifications: BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience 5+ years of experience developing and deploying machine learning systems in production Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face) Advanced Python programming skills and solid software engineering fundamentals Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment Hands-on experience with agentic workflows or building autonomous AI systems is a major plus Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred Experience with data quality management, evaluation metrics, or observability in ML systems is a plus Strong analytical thinking, creativity, and an ownership mindset Excellent communication and collaboration skills in a cross-functional, international environment Fluency in English, both written and spoken Benefits: We support 100% remote work with Wi-Fi reimbursement and an additional stipend for the equipment (the MacBook laptop is provided by us) Unlimited vacation days (yes - it's really unlimited) Private Medical Care for you and your dependents (Luxmed) Wellness Programme (Multisport Card and even more) Company wide shutdowns in August and around Christmas Additional information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

🏢 Summary: Staff Data Scientist (Tech Lead) role focused on building and scaling real-time AI-driven decisioning systems to improve product conversion. The position combines hands-on machine learning leadership with technical ownership of production ML pipelines and experimentation strategy. You will drive advanced ML initiatives including recommendation systems, uplift modeling, and LLM-based personalization in low-latency environments. 🗂️ Requirements: 10+ years experience in Data Science with production ML systems, Expert-level Python and SQL, Strong experience with PySpark or Apache Spark, Experience building real-time ML systems with strict latency constraints, Proven experience with gradient boosting and recommendation systems, Strong background in A/B testing and causal inference, Experience building ML pipelines on AWS, Hands-on experience with LLMs including fine-tuning and evaluation, Experience with feature engineering and model monitoring in production 📃 Skills: Python, SQL, PySpark, Spark, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, AWS, Databricks, LLMs, NLP, Clustering, Uplift, Bandits, ABTesting, CausalInference 🏢 Description: We are looking for a Staff Data Scientist to join a Growth Alliance team at the Tech Lead level. This role goes beyond hands-on data science, it requires a candidate who can set technical direction, lead complex ML initiatives, and act as a strategic partner to business stakeholders. You will operate at the intersection of advanced machine learning, real-time systems, and product growth. About the Project: This is a Staff / Tech Lead position within a team driving AI-powered decisioning at scale. You will work on systems with strict real-time constraints (<40 ms latency) that directly impact end-user experience and conversion. The mission is to move the product toward AI-driven decisioning, targeting a measurable improvement in conversion (~5%). You will be expected to challenge assumptions, define the technical roadmap, and ensure that ML systems perform reliably in production. Responsibilities: Lead the design and implementation of production ML systems, including real-time decisioning and personalization engines; Drive adoption of contextual bandits, uplift modeling, and advanced recommendation frameworks; Define experimentation strategy including A/B testing, causal inference, and synthetic controls; Oversee feature engineering at scale and ensure robust model monitoring and validation practices; Act as a technical owner for decisioning platforms and Martech integrations; Collaborate with and influence senior business stakeholders to shape data science strategy; Guide and mentor other data scientists on the team; Lead GenAI and LLM-based initiatives including fine-tuning, evaluation, and content personalization. Qualifications: 10+ years of experience in Data Science, with a strong track record in production ML systems; Expert-level Python (NumPy, Pandas, Scikit-learn) and SQL; Deep experience with PySpark / Apache Spark for large-scale data processing; Mastery of gradient boosting methods (XGBoost, LightGBM), recommendation systems, NLP, clustering, and uplift modeling; Extensive experience with A/B testing, causal inference, statistical modeling, and synthetic controls; Proven ability to build and maintain production ML pipelines on cloud platforms (AWS preferred); Experience with decisioning platforms, personalization engines, and Martech integrations; Hands-on experience with LLMs, prompt engineering, evaluation, and fine-tuning; Strong stakeholder management skills with the ability to challenge assumptions and ask the right questions; Databricks experience is a nice to have. Recruitment Process: Initial interview with our recruitment team; Interview with the hiring manager; Live Coding Assessment; Meeting with the Project Manager. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand 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 skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #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:$234,000—$300,000 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: 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 sales leadership role responsible for driving strategic engagement and revenue growth with a Tier 1 cloud service provider, focusing on DRAM and NAND semiconductor solutions. The position leads account strategy, customer relationships, negotiations, and cross-functional collaboration to secure design wins and achieve revenue targets. This role also manages and mentors a high-performing sales team while aligning forecasts and market strategy. 🗂️ Requirements: BS/BA degree, 10+ years semiconductor sales experience or related technical field, Sales leadership experience, Tier 1 customer account management experience, Experience selling DRAM and/or NAND products, Experience with hyperscale and data center customers 📃 Skills: DRAM, NAND, Semiconductors, Silicon, Sales, Forecasting, Negotiation, DataCenters, Cloud 🏢 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. What You'll Do There hasn't been a better time to join Samsung, come lead our sales engagement with one of the leading Cloud Service Providers and take the relationship to the next level. The world's largest cloud service providers are setting the pace for the infrastructure innovation required to empower AI and Memory. In this role you will be at the forefront of continued growth and leading sales efforts with one of the largest customers. Provide the vital leadership, support, and mentorship to ensure that the account sales strategy is aligned with the business direction and supports the accomplishment of the overall company objectives. Focus on continuous improvement on the customer experience and build deeper relationship with key stakeholders. Collaborate with key decision makers at customer to secure design wins and qualification slots on new programs for DRAM and NAND-based products. Create and align sales forecast, delivering monthly revenue goals. Conduct face-to-face customer management meetings to provide support, address issues, communicate updates, and build strong relationships. Negotiate quarterly business awards including pricing and supply support. Support sales opportunities by providing product information, roadmap updates, product samples, and price quotations. Maintain awareness of and communicate internally to sales and marketing teams regarding major market trends, customer strategies, and competitive activity. International business travel to support customer meetings as needed. Communicate and collaborate with sales and marketing teams to resolve business issues, plan account strategies, product alignment and achieve revenue goals. Lead a team of high performing sales leaders and team members and ensure they have clarity of purpose and ownership. Reports to: SVP, Sales What You Bring BS/BA degree. MS degree or comparable engineering degree a plus. 10+ years sales experience in semiconductor industry or related technical field. Sales Leadership and Tier 1 Customer Account Management Experience. Sales Experience with DRAM/NAND and or related silicon sales experience selling into Tier 1 accounts. Sale Experience with Tier 1 Hyperscale and Data Center Customers. 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. Base Pay Range $188,000—$300,000 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 AI tools may be used in the recruitment process as support tools, with final hiring decisions made by human recruiters and hiring managers. Recruiting Agency Policy Only authorized recruitment agencies with a current and valid agreement are permitted to submit resumes. Applicant AI Use Policy The use of generative AI tools to misrepresent a candidate's true skills and qualifications is prohibited. Trade Secret Notice By submitting an application, you agree not to disclose any confidential or proprietary information belonging to a current or former employer or other entity.

🏢 Summary: Senior Data Scientist role focused on leading the design and delivery of production-grade Generative AI solutions using LLMs, including RAG pipelines, chatbots, and AI agents. The position combines hands-on development with architectural decision-making and technical mentorship, delivering scalable GenAI systems for large enterprise clients. You will own the full lifecycle from solution discovery through deployment, safety, and optimization. 🗂️ Requirements: 6+ years experience in Data Science or AI engineering, 4+ years production experience with Python for AI/ML, 2+ years building and deploying LLM-based systems in production, Experience designing and implementing RAG pipelines, Experience with model fine-tuning techniques (LoRA, QLoRA, SFT), Experience building end-to-end GenAI applications including orchestration and APIs, Ability to design system architectures for LLM-based solutions, Experience implementing AI safety and governance controls, Strong analytical and problem-solving skills, Professional English communication skills 📃 Skills: Python, LLMs, LangChain, LlamaIndex, LangGraph, RAG, LoRA, QLoRA, SFT, APIs, VectorDB, AI, MachineLearning 🏢 Description: ABOUT THE COMPANY Our client is an end-to-end data services partner to global enterprises, founded in 2008 and headquartered in Warsaw. Our teams work with over 75 leading consumer packaged goods brands across more than 30 countries, helping them unlock the full value of their data — from strategy and development through to operations and adoption. Our work spans supply chain analytics, customer analytics, AI and machine learning, data platforms, and digital commerce. We are recognised as a Strong Performer in the Gartner Peer Insights Voice of the Customer report for data and analytics, and hold Great Place to Work certification in multiple countries. ABOUT THE ROLE We're looking for an experienced Senior Data Scientist with deep expertise in Generative AI to lead projects building and implementing advanced LLM-based systems — including chatbots, AI agents, and RAG pipelines. This is a technical leadership role: you'll make architectural decisions, select technologies, set best practices, and mentor other engineers, while remaining hands-on across the full solution lifecycle. You'll work closely with data engineers, product owners, and full-stack developers to deliver scalable GenAI applications for large enterprise clients, primarily in CPG, retail, and manufacturing. WHAT YOU'LL WORK ON Solution design and discovery Lead discovery and solution design for GenAI use cases — translating business problems into concrete architectures covering LLM selection, RAG, fine-tuning, agents, and guardrails. End-to-end GenAI applications Build complete GenAI solutions covering data ingestion, retrieval layers, orchestration (LangChain, LlamaIndex, LangGraph), API and backend, and lightweight UI where needed. RAG pipeline design Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness. Model selection, prompting, and fine-tuning Own prompting strategies, model selection, and fine-tuning (LoRA, QLoRA, SFT) for text, code, and multimodal models, including evaluation and A/B testing. Safety and governance Implement safety, compliance, and governance controls including input/output filters, PII handling, audit logs, and human-in-the-loop review where required. Requirements and estimation Gather technical requirements from stakeholders and produce reliable estimates for planned work. Mentorship and knowledge sharing Mentor other data scientists and engineers in GenAI patterns, code quality, and best practices. Contribute to internal libraries, templates, and reusable components. Staying current Track the GenAI landscape — new open and hosted models, agentic frameworks, evaluation techniques — and run targeted PoCs to validate emerging approaches. WHAT WE LOOK FOR 6+ years in Data Science or AI engineering Broad experience across the data science and AI stack, with a track record of delivering production systems. 4+ years of production Python for AI Fluent in writing production-ready Python for AI and ML workloads — clean, maintainable, and deployable. 2+ years of production LLM development Hands-on experience building and shipping LLM-based systems in production environments, not just research or prototypes. Strong analytical and problem-solving skills Able to break down ambiguous problems, make sound architectural decisions under uncertainty, and defend those decisions clearly. Excellent English communication Comfortable working directly with international clients and cross-functional teams. Able to translate technical complexity for non-technical stakeholders. THE TEAM You'll join a specialist Data Science and AI practice working alongside experienced consultants, ML engineers, and data engineers. The team delivers solutions for large international clients across CPG, retail, and manufacturing. There is a strong knowledge-sharing culture, with internal communities, competency centres, and structured learning programmes built into how the team operates. COMPENSATION & BENEFITS Rate 105 – 170 PLN per hour on a B2B contract, depending on experience. Work model Fully remote or office-based — your choice. Flexibility on working hours and contract form. Workation policy Option to work remotely from other locations for defined periods. Onboarding Comprehensive online onboarding programme with a dedicated buddy from day one. Learning and development Unlimited access to the Udemy learning platform from day one. Certificate training programmes, upskilling support, capability development programmes, competency centres, knowledge sharing sessions, community webinars, and over 110 training opportunities per year. Career growth Internal promotion pathways — 76% of managers were promoted internally. Cooperation with top-tier engineers and domain experts across the organisation. Referral bonuses Financial rewards for successful employee referrals. Wellbeing Activities to support health and wellbeing, with opportunities to contribute to charitable causes and environmental initiatives. Equipment Modern office equipment provided. Employer recognition Great Place to Work certified employer.

🏢 Summary: Senior-level role focused on leading verification of AI accelerator IP blocks and building scalable verification infrastructure for advanced SoC systems. The position involves developing UVM-based testbenches, driving functional and performance validation, and collaborating cross-functionally to debug and close quality metrics. The role supports next-generation AI/ML hardware platforms with emphasis on architecture-level verification and system-level validation. 🗂️ Requirements: 15+ years (BS) or 13+ years (MS) or 10+ years (PhD) industry experience, Strong experience in SoC/IP verification, Proven expertise in UVM-based testbench development, Proficiency in SystemVerilog and C/C++, Experience with scripting using Perl or Python, Experience verifying complex IP to full SoC/system level, Strong RTL understanding and debugging skills, Background in microarchitecture and computer architecture, Ability to lead verification efforts and mentor engineers 📃 Skills: UVM, SystemVerilog, C, C++, Perl, Python, RTL, SoC, IP, FPGA, Emulation 🏢 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. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages. Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers. Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics. Provide comprehensive documentation of verification strategy and ensure test environment is easy to use. Mentor junior engineers when necessary Work cross-functionally in debugging failures with design, compiler and simulation engineers What You Bring Bachelor's with 15+ years, or Master's with 13+ years, or PhD's with 10+ years of industry experience. Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python. Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing Understanding RTL and strong overall debugging skills Prior experience with computational logic, interconnect networks and/or memory system is desirable Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators Knowledge of FPGA and emulation platforms preferred Strong analytical and problem-solving skills Excellent communication and interpersonal skills Ability to work independently and as part of a team 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. #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$189,000—$301,000 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/