Senior Program Manager – Deployments

🏢 Summary: Senior Growth Marketing Manager role focused on executing integrated, multi-channel demand generation programs to drive pipeline, accelerate deals, and optimize lifecycle engagement in a B2B SaaS environment. The position is hands-on, covering campaigns, paid digital, webinars, ABM, outbound, and marketing automation, with strong emphasis on data-driven optimization and experimentation. The role collaborates cross-functionally to build scalable, repeatable growth systems. 🗂️ Requirements: 5+ years in growth marketing, demand generation, or performance marketing in B2B SaaS, Hands-on experience with HubSpot and Salesforce, Experience with Outreach or similar sales engagement tools, Proven ability to execute and optimize paid digital campaigns, Experience running content syndication programs end-to-end, Experience managing webinar programs end-to-end, Ability to build campaigns, landing pages, and nurture flows, Strong understanding of full-funnel and lifecycle marketing, Data-driven experimentation and A/B testing experience, Strong project management skills, Experience collaborating with Sales, SDRs, and cross-functional teams, Bachelor’s degree in Marketing, Business, Communications, or related field 📃 Skills: HubSpot, Salesforce, Outreach, Demandbase, ABM, A/BTesting, EmailMarketing, PaidMedia, ContentSyndication, Webinars, LeadScoring, Segmentation, MarketingAutomation, CRM, Analytics, AI 🏢 Description: Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.POSITION SUMMARY Netradyne is redefining fleet safety with Computer Vision and Edge Computing, and we're growing fast. We are seeking a Senior Growth Marketing Manager who gets things done. In this role you will execute a portfolio of high-impact programs including integrated campaigns, content syndication, paid digital, webinars, outbound, and ABM designed to generate new pipeline, accelerate deals in motion, and drive lifecycle engagement. This is a hands-on role for someone who thrives in the details, moves fast, and takes pride in seeing programs go from idea to launch to results You're a builder and a natural collaborator. You'll work closely with Marketing Ops, Events, Product Marketing, SDRs, and Sales to bring programs to life. You move fast, measure everything, and are always on the lookout for the next opportunity to drive impact and pipeline. ESSENTIAL FUNCTIONS Plan and execute integrated multi-channel campaigns end-to-end from brief through launch, optimization, and reporting across email, paid media, content syndication, webinars, direct mail, and ABM. Run content syndication programs including selecting vendors, managing contracts, deliverables, monitoring lead quality, and optimizing spend based on performance. Execute paid digital programs in close partnership with the third-party agency briefing campaigns, reviewing creative and targeting, tracking performance, and holding the agency accountable to pipeline and ROI targets. Own the full webinar program: manage calendar, coordinate speakers and production, drive registration, execute follow-up sequences, and report on pipeline impact for both owned and third-party webinars. Build and launch email campaigns, landing pages, and nurture sequences in HubSpot, and partner with Marketing Ops on segmentation, lead scoring, and lifecycle processes to ensure clean data and accurate reporting. Execute outbound programs in close collaboration with SDR and Sales teams - coordinating timing, messaging, sequencing, and follow-up to convert target accounts into qualified meetings. Run A/B tests across channels, messaging, and offers documenting hypotheses, results, and learnings to build a repeatable experimentation framework over time. Partner with Product Marketing to ensure campaign messaging is grounded in sharp positioning and resonates with target buyers across verticals, personas, and lifecycle. Work with Event Marketing to extend the impact of field programs through pre- and post-event campaigns that convert engagement into pipeline. Drive ABM execution targeting high-value accounts and buying groups in collaboration with the ABM manager and Sales leadership, using Demandbase and coordinated outbound plays. Track and report on campaign performance metrics including leads generated, pipeline influenced, conversion rates, and ROI, using those insights to continuously optimize programs. QUALIFICATIONS 5+ years in growth marketing, demand generation, or performance marketing in a B2B SaaS environment - experience scaling a high-growth product a plus. Hands-on experience with HubSpot, Salesforce, Outreach or similar tools with understanding of how to build campaigns, landing pages, nurture flows, and lifecycle sequences. Proven ability to execute paid digital programs, interpret performance data, and coordinate with agencies. Experience running content syndication and webinar programs end-to-end, with a sharp eye for lead quality over lead volume. Strong command of the full funnel and lifecycle motions to keep buyers moving. A genuine experimentation mindset to design tests, define success metrics upfront, and make optimization decisions based on data. Exceptional project management skills to run multiple programs simultaneously, rally cross-functional stakeholders, and drive execution without losing momentum. A team player who is energized by new challenges, earns trust quickly, communicates proactively, and makes cross-functional programs run smoothly. High bar for AI-native ways of working by actively using AI tools to drive productivity and quality across your growth workflows. A bias toward building scalable, repeatable systems rather than one-off campaigns, with the initiative to introduce new frameworks and processes when you see the opportunity. Creative thinker who can generate and execute breakout campaign ideas that cut through in a crowded market. PREFERRED EXPERIENCE Experience in high growth, scaling start up environments Background in fleet management, transportation, telematics, IoT, mobility, computer vision, or AI-powered enterprise SaaS EDUCATION Bachelor's degree in Marketing, Business, Communications, or a related field highly desired. LOCATION & WORK MODEL This is a hybrid position based out of Netradyne's San Diego or San Francisco office. Periodic travel will be required (estimated 15–25%) to spend time at on-site events and to represent Netradyne at industry events. Compensation Package_Perks of being a Netradyne employee: Competitive Salary + eligibility for yearly bonus. The expected base pay range for this position is: Bay Area California $125,000-166,000, Southern California $110,000-147,000 Company equity Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents Generous PTO and Sick Leave 401(K) with generous company match Disability, Life Insurance and Ancillary Benefits And much more! California Pay Range$110,000—$166,000 USDWe are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. If there is a match between your experiences/skills and the Company's needs, we will contact you directly. Netradyne is an equal-opportunity employer. Applicants only - Recruiting agencies do not contact. Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in '@netradyne.com' or '@us-greenhouse-mail.io'. Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.

🏢 Summary: Senior Software Engineer role focused on diagnosing, developing, and deploying fixes for complex issues within an autonomous vehicle Planning and Controls stack. The position involves deep technical investigation, rapid production deployments, and building internal tooling to improve log analysis and team efficiency. You will collaborate cross-functionally to resolve on-road software issues and accelerate autonomous system capabilities. 🗂️ Requirements: Bachelor's degree in Computer Science, Robotics, or related field, 3+ years of professional C++ software development experience, Experience building high-performance and resilient systems, Ability to work with large, complex codebases, Experience delivering software in a production environment, Familiarity with CI/CD pipelines and version control at scale, Understanding of rigorous release cycles 📃 Skills: C++, CI/CD, Git, Jira, Confluence, GitLab, ROS, DDS, Simulation, LogAnalysis, Automation, Scripting 🏢 Description: Mission Summary: We are looking for a Senior Software Engineer to join our Actions Sustaining Team to diagnose, develop and deploy solutions to solve the immediate challenges facing our deployed autonomous software. You will play a pivotal role in resolving issues that will help accelerate the growth of our autonomous capabilities. What you'll be doing: Technical Discovery: Deep-dive into complex issues within the Planning and Controls stack reported by the triage team. You will parse logs and replay simulation data to find the "why" behind anomalous vehicle actions. Accelerated Resolutions: Own the deployment of software fixes. When a business need arises for an immediate solution, you will lead the development, testing, and deployment. Tooling & Automation: Identify improvements in existing workflows. You will develop internal tooling and scripts to expedite log analysis, automate common patterns, and improve the efficiency of the entire team. Cross-Functional Collaboration: Act as the technical liaison between teams to ensure alignment between on-road issues and current development work. What we're looking for: Bachelor's degree in Computer Science, Robotics, or a related field. A Master's or Ph.D. is preferred. 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems. Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key. Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles. Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world. Bonus Points (not required): Experience in Jira, Confluence and Gitlab. Background in robotics middleware (ROS, DDS) or autonomous systems. Compensation and Benefits: The salary range for this role is $172,000—$229,000 USD (base salary). This role may include additional forms of compensation such as a bonus or company equity. Benefits include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Senior Software Engineer role focused on diagnosing, resolving, and deploying fixes for complex issues in an autonomous vehicle Planning and Controls stack. The position involves deep log and simulation analysis, rapid production deployments, and development of internal tooling to improve engineering efficiency. The engineer acts as a technical bridge to ensure alignment between on-road incidents and ongoing software development. 🗂️ Requirements: Bachelor's degree in Computer Science, Robotics, or related field, 3+ years of professional C++ development experience, Experience building high-performance, resilient systems, Ability to work within large, complex codebases, Production software delivery experience, Experience with CI/CD pipelines, Experience with version control systems 📃 Skills: C++, CICD, Git, Simulation, Logging, Robotics, Planning, Controls, Automation, Scripting, ROS, DDS, Jira, Confluence, GitLab 🏢 Description: Mission Summary:We are looking for a Senior Software Engineer to join our Actions Sustaining Team to diagnose, develop and deploy solutions to solve the immediate challenges facing our deployed autonomous software. You will play a pivotal role in resolving issues that will help accelerate the growth of our autonomous capabilities. What you'll be doing: Technical Discovery: Deep-dive into complex issues within the Planning and Controls stack reported by the triage team. You will parse logs and replay simulation data to find the "why" behind anomalous vehicle actions. Accelerated Resolutions: Own the deployment of software fixes. When a business need arises for an immediate solution, you will lead the development, testing, and deployment . Tooling & Automation: Identify improvements in existing workflows. You will develop internal tooling and scripts to expedite log analysis, automate common patterns, and improve the efficiency of the entire team. Cross-Functional Collaboration: Act as the technical liaison between teams to ensure alignment between on-road issues and current development work. What were looking for: Bachelor's degree in Computer Science, Robotics, or a related field. A Master's or Ph.D. is preferred 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems. Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key. Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles. Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world. Bonus Points(not required): Experience in Jira, Confluence and Gitlab Background in robotics middleware (ROS, DDS) or autonomous systems. 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$172,000—$229,000 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: Senior Software Engineer role focused on diagnosing, resolving, and deploying fixes for complex issues in autonomous vehicle Planning and Controls systems. The position involves deep log analysis, simulation replay, tooling development, and leading rapid production deployments. You will collaborate cross-functionally to ensure reliable, high-performance software in real-world autonomous operations. 🗂️ Requirements: Bachelor’s degree in Computer Science, Robotics, or related field, 3+ years of C++ development experience, Experience building high-performance, resilient systems, Ability to work with large, complex codebases, Production software delivery experience, Experience with CI/CD pipelines, Experience with version control systems at scale 📃 Skills: C++, CI/CD, Git, Jira, Confluence, GitLab, ROS, DDS, Simulation, Automation 🏢 Description: Mission Summary: We are looking for a Senior Software Engineer to join our Actions Sustaining Team to diagnose, develop, and deploy solutions that solve immediate challenges facing deployed autonomous software. You will play a pivotal role in resolving issues that help accelerate the growth of autonomous capabilities. What You'll Be Doing: - Technical Discovery: Deep-dive into complex issues within the Planning and Controls stack reported by the triage team. Parse logs and replay simulation data to identify the root cause behind anomalous vehicle actions. - Accelerated Resolutions: Own the deployment of software fixes. Lead development, testing, and deployment when immediate business needs arise. - Tooling & Automation: Improve existing workflows by developing internal tooling and scripts to expedite log analysis, automate common patterns, and enhance team efficiency. - Cross-Functional Collaboration: Act as a technical liaison between teams to align on-road issues with ongoing development work. What We're Looking For: - Bachelor’s degree in Computer Science, Robotics, or a related field (Master’s or Ph.D. preferred) - 3+ years of C++ software development experience focused on high-performance and resilient systems - Experience working within large, complex, modular codebases - Proven experience delivering production software - Familiarity with CI/CD processes, version control at scale, and rigorous release cycles - Passion for deploying software that interacts with the physical world Bonus Points (Not Required): - Experience with Jira, Confluence, and GitLab - Background in robotics middleware (ROS, DDS) or autonomous systems Work Arrangement: Hybrid schedule with in-office collaboration in Boston, Pittsburgh, or Las Vegas, or fully remote. Compensation & Benefits: Salary Range: $172,000—$229,000 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: Senior Software Engineer role focused on diagnosing, developing, and deploying fixes for complex issues within an autonomous vehicle Planning and Controls stack. The position involves deep technical investigation, rapid production deployments, and building internal tooling to improve log analysis and automation. You will work cross-functionally to resolve high-impact issues in deployed autonomous systems. 🗂️ Requirements: Bachelor's degree in Computer Science, Robotics, or related field, 3+ years of professional C++ development experience, Experience building high-performance, resilient systems, Ability to work with large, complex codebases, Experience delivering software to production environments, Experience with CI/CD pipelines, Experience with version control systems at scale 📃 Skills: C++, CI/CD, Git, Jira, Confluence, GitLab, ROS, DDS 🏢 Description: Mission Summary:We are looking for a Senior Software Engineer to join our Actions Sustaining Team to diagnose, develop and deploy solutions to solve the immediate challenges facing our deployed autonomous software. You will play a pivotal role in resolving issues that will help accelerate the growth of our autonomous capabilities. What you'll be doing: Technical Discovery: Deep-dive into complex issues within the Planning and Controls stack reported by the triage team. You will parse logs and replay simulation data to find the "why" behind anomalous vehicle actions. Accelerated Resolutions: Own the deployment of software fixes. When a business need arises for an immediate solution, you will lead the development, testing, and deployment . Tooling & Automation: Identify improvements in existing workflows. You will develop internal tooling and scripts to expedite log analysis, automate common patterns, and improve the efficiency of the entire team. Cross-Functional Collaboration: Act as the technical liaison between teams to ensure alignment between on-road issues and current development work. What were looking for: Bachelor's degree in Computer Science, Robotics, or a related field. A Master's or Ph.D. is preferred 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems. Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key. Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles. Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world. Bonus Points(not required): Experience in Jira, Confluence and Gitlab Background in robotics middleware (ROS, DDS) or autonomous systems. 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$172,000—$229,000 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: Senior Software Engineer role focused on diagnosing, resolving, and deploying fixes for complex issues in an autonomous vehicle Planning and Controls stack. The position involves deep log and simulation analysis, rapid production deployments, and building internal tooling to improve debugging and automation workflows. The engineer collaborates cross-functionally to ensure reliable, high-performance autonomous software in production environments. 🗂️ Requirements: Bachelor’s degree in Computer Science, Robotics, or related field, 3+ years of C++ development experience, Experience building high-performance and resilient systems, Ability to work with large, complex codebases, Experience delivering software to production environments, Knowledge of CI/CD pipelines, Experience with version control systems, Ability to analyze logs and simulation data 📃 Skills: C++, CI/CD, Git, GitLab, Jira, Confluence, ROS, DDS, Simulation, Linux 🏢 Description: Mission Summary:We are looking for a Senior Software Engineer to join our Actions Sustaining Team to diagnose, develop and deploy solutions to solve the immediate challenges facing our deployed autonomous software. You will play a pivotal role in resolving issues that will help accelerate the growth of our autonomous capabilities. What you'll be doing: Technical Discovery: Deep-dive into complex issues within the Planning and Controls stack reported by the triage team. You will parse logs and replay simulation data to find the "why" behind anomalous vehicle actions. Accelerated Resolutions: Own the deployment of software fixes. When a business need arises for an immediate solution, you will lead the development, testing, and deployment . Tooling & Automation: Identify improvements in existing workflows. You will develop internal tooling and scripts to expedite log analysis, automate common patterns, and improve the efficiency of the entire team. Cross-Functional Collaboration: Act as the technical liaison between teams to ensure alignment between on-road issues and current development work. What were looking for: Bachelor's degree in Computer Science, Robotics, or a related field. A Master's or Ph.D. is preferred 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems. Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key. Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles. Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world. Bonus Points(not required): Experience in Jira, Confluence and Gitlab Background in robotics middleware (ROS, DDS) or autonomous systems. 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$172,000—$229,000 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: Senior Python Engineer focused on building and orchestrating autonomous AI agents that automate the full software development lifecycle using multi-agent architectures and Generative AI. The role involves designing, implementing, and optimizing AI-driven workflows, ensuring observability, reliability, and production readiness. You will work hands-on with advanced AI frameworks and containerized environments to deliver cutting-edge agentic systems. 🗂️ Requirements: Proven experience building or implementing AI agents or workflows using LangGraph or similar frameworks, Strong hands-on software development experience in Python, Practical experience with LangSmith for observability and debugging of AI chains, Strong proficiency with Generative AI tools such as Claude or GPT, Advanced Prompt Engineering skills, Experience designing and optimizing multi-agent architectures, Proficiency in Bash or Shell scripting, Strong experience with Docker and containerization, Ability to integrate AI solutions into production environments 📃 Skills: Python, LangGraph, LangSmith, Docker, Bash, Shell, Claude, GPT, GenerativeAI, PromptEngineering, Java, .NET, Angular, Maven, Gradle, CI/CD, AWS, Azure, GCP 🏢 Description: We are seeking a Senior Python Engineer (AI Automation focus) to join our innovative team in building a cutting-edge autonomous AI agent. This "digital software engineer" is designed to handle the entire development lifecycle—from requirement analysis to production-ready code—using a sophisticated multi-agent architecture. In this role, you will go beyond traditional coding by developing and orchestrating specialized AI components that plan, write, and validate software. You will be at the forefront of the Agentic AI revolution, working for a global leader in the payment industry to redefine how software is built. Tech Stack: Python, LangGraph, LangSmith, Generative AI (Claude Code, OpenAI, etc.), Docker, Bash/Shell, Prompt Engineering, and multi-stack exposure (Java, .NET, Angular). Responsibilities: Design and develop autonomous AI agents using Python and advanced orchestration frameworks like LangGraph. Build and optimize multi-agent architectures where specialized AI components handle requirements, planning, coding, and testing. Implement observability and monitoring for AI workflows using LangSmith to ensure high-quality and reliable agent performance. Hands-on utilization and integration of Generative AI tools (Claude Code, etc.) to drive the "AI-building-AI" vision. Conduct complex prompt engineering to fine-tune the agent’s decision-making and coding capabilities. Containerize applications using Docker and manage environments with proficient Bash/Shell scripting. Collaborate with cross-functional teams to integrate the AI agent into production environments and diverse tech stacks. Maintain an adaptive mindset, proactively solving challenges in an evolving, fast-paced R&D setting. Min requirements: Proven experience building or implementing AI agents/workflows using frameworks like LangGraph. hands-on software development experience with Python . Strong proficiency in Generative AI tools (Claude, GPT, etc.). Practical experience with LangSmith for observability and debugging of AI chains. Advanced skills in Prompt Engineering and building autonomous logic. Proficiency in Bash and Shell scripting for environment management. Strong experience with containerization using Docker . Ability to work with an adaptive mindset , comfortably switching between different technical challenges. Would be a plus: Multi-stack literacy: Basic knowledge of Java (Maven/Gradle), .NET, or Angular to help the AI agent navigate diverse codebases. Experience in the Fintech or Payment Processing industry (understanding of secure coding and financial systems). Knowledge of CI/CD pipelines and automated testing at scale. Experience with distributed systems and cloud infrastructure (AWS, Azure, or GCP). Contributions to AI-related open-source projects or LLM research. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior technical leadership role responsible for defining and architecting large-scale machine learning systems that power multimodal data discovery and model improvement for autonomous driving. The position focuses on building scalable ML frameworks, optimizing real-time inference across GPU/CPU clusters, and leading cross-functional initiatives from roadmap to production. You will mentor engineers, set ML engineering standards, and drive department-level technical strategy. 🗂️ Requirements: BS in Computer Science, Machine Learning or related field, 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, Technical leadership in defining roadmaps and leading multi-person initiatives, Expert proficiency in Python, 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 📃 Skills: Python, PyTorch, TensorFlow, JAX, AWS, GCP, Azure, CI/CD, Docker, Kubernetes, GPU, CPU, LiDAR, Radar 🏢 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 rare edge cases, long-tail scenarios, and model errors. Omnitag, our ML-powered multimodal data mining framework, powers this discovery. As a Staff Machine Learning Engineer, you will define the roadmap and architecture for machine learning systems that power data discovery and model improvement lifecycles. You will architect scalable systems spanning multimodal representation learning, active learning loops, and optimized production inference. You will own system-level architecture, lead multi-quarter initiatives, and partner across engineering teams to influence technical strategy and ensure ML platforms serve as a mission-critical engine for the autonomy stack. What You'll Do: Define Technical Strategy & Roadmaps: - Develop and execute multi-quarter technical roadmaps for core ML systems - Guide reprioritization to drive team-wide and department-level OKRs and KPIs Architect System-Level Solutions: - Own system-level architecture for complex ML products - Design scalable frameworks for large-scale data mining and real-time inference across GPU/CPU clusters Drive Cross-Functional Execution: - Lead multi-person projects across teams - Influence partner teams' technical roadmaps 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 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 What We're Looking For (Must-Haves): - BS in Computer Science, Machine Learning, or related field (or equivalent experience) - 8+ years of hands-on ML engineering experience - Proven track record owning architecture, deployment, and optimization of large-scale ML systems - Experience with multimodal foundation models in production systems - Demonstrated technical leadership across multi-quarter initiatives - Expert proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX) - Strong software engineering fundamentals (system design, CI/CD, containerization) - Broad ML expertise across model training, deep learning architectures, evaluation, and production deployment - Experience deploying ML models in AWS, GCP, or Azure - 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 systems - Experience with large-scale ML data mining and active learning loops - Familiarity with multimodal learning and sensor fusion - Experience with model serving tools (TF Serving, Triton, TorchServe) and enterprise MLOps platforms - Experience leading incident response planning for mission-critical ML platforms Benefits: - Hybrid or fully remote work options - Base salary range: $205,000—$272,500 USD - Eligibility for bonus or company equity - Medical, dental, vision coverage - 401k with company match - Health savings accounts - Life insurance - Pet insurance

🏢 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: Staff Machine Learning Engineer role focused on architecting and leading large-scale ML systems that power multimodal data discovery and model improvement for autonomous driving. The position owns system-level architecture, technical strategy, and cross-functional execution across massive data mining and real-time inference platforms. It combines deep hands-on ML expertise with technical leadership and mentorship at department scale. 🗂️ 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), Technical leadership experience defining multi-quarter roadmaps and leading multi-person initiatives, Expert proficiency in Python and at least one major ML framework (PyTorch, TensorFlow, or JAX), Strong software engineering fundamentals (system design, CI/CD, containerization), Broad ML expertise across model training, deep learning, evaluation, and large-scale deployment, Experience deploying ML models in cloud environments (AWS, GCP, or Azure), Ability to mentor engineers and drive cross-team technical alignment 📃 Skills: Python, PyTorch, TensorFlow, JAX, AWS, GCP, Azure, CI/CD, Containerization, DeepLearning, RepresentationLearning, ActiveLearning, GenerativeAI, MultimodalModels, ModelServing, MLOps, GPU, CPU 🏢 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 rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, powers this discovery. As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and architecture for machine learning systems that power data discovery and model improvement lifecycles. You will architect scalable systems spanning multimodal representation learning, active learning loops, and high-efficiency production inference. You will own system-level architecture, lead multi-quarter initiatives, and partner across engineering to influence department-wide technical strategy while establishing robust processes and mentoring others. What You'll Do: - Define Technical Strategy & Roadmaps: Develop and execute multi-quarter, high-impact technical roadmaps for core ML systems, aligning with team and department OKRs and KPIs. - Architect System-Level Solutions: Own architecture for complex ML products and 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 and influence partner roadmaps to solve shared technical challenges. - Elevate Engineering Excellence: Establish standards for ML system design, code quality, testing, deployment, and incident response planning. - Operate as a Generalist Expert: Apply deep learning, representation learning, active learning, and generative AI to complex problems and unblock teams facing novel challenges. - Mentor and Lead: Coach engineers, lead architectural reviews, and contribute to engineering culture through documentation and technical 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, multi-person initiatives - Expert proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX) - Strong software engineering fundamentals including system design, CI/CD, and containerization - Broad ML experience across training, architectures, evaluation, and large-scale deployment - Experience deploying ML models in cloud environments (AWS, GCP, or Azure) with latency and throughput optimization - Proven mentorship and cross-team collaboration skills Bonus Points (Nice-to-Haves): - 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 contrastive/representation learning - Familiarity with multimodal learning, sensor fusion, or large foundation models - Experience with model serving tools (TF Serving, Triton, TorchServe) and enterprise MLOps platforms - Experience leading severity reviews or incident response planning for mission-critical ML platforms Work Arrangement & Compensation: - Hybrid schedule with in-office collaboration in Boston, Pittsburgh, or Las Vegas, or fully remote - Base salary range: $205,000—$272,500 USD - Eligible for additional compensation such as bonus or company equity - Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more