Top Robotics Jobs in Boston, MA

Lead and define a decade-scale research vision spanning perceptual intelligence, sensing, distributed edge orchestration, and trusted systems. Recruit and mentor multidisciplinary teams, launch 12–36 month programs producing deployable models, datasets, APIs, and IP, and drive translation of research into products, platforms, middleware, and strategic pilots. Partner across research, engineering, strategy, and external institutions to ensure scientific quality and long-term enterprise impact.

Own CNC process development and design machining workflows, integrate automation systems, optimize toolpaths, collaborate across teams, and lead yield improvement efforts.

Lead QA strategy and tooling for cloud software: design and execute automated and manual tests, focus on API/backend reliability and performance, drive automation, troubleshoot complex issues, and mentor QA practices.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

The Robotics Software Engineer will architect systems, implement navigation algorithms, develop software for UAS, and support prototype vehicle testing.

Lead and manage software proposals and purchase agreements for domestic and international customers. Own proposal lifecycle, develop compliant win strategies, author technical content (RFIs, abstracts, quad charts), maintain documentation configuration, create compliance matrices, manage cross-functional reviews, support cost proposals, and assist Account Executives to close deals by coordinating BD, engineering, program, product, and marketing teams.

Lead strategy and delivery of IT systems for R&D, CMC, Regulatory, and Safety. Define architecture, data/AI integration, and secure scientific computing (TREs). Drive Laboratory of the Future (AI, robotics, data science), vendor integrations, validation/GxP compliance, governance, and build a Development IT team to support global product lifecycle and inspection readiness.

Own the Physical AI platform program: sequence roadmap delivery across teams, manage cross-team dependencies and risks, establish SLOs and launch readiness, coordinate releases, and raise operational rigor for reliability and scalability.

Lead and manage a software engineering team building robotics and AI solutions. Oversee sprints, performance, platform availability, demos, deployments, manufacturing guidance, and cross-team coordination. Maintain deep technical understanding to contribute to troubleshooting, commissioning, and fielded product success.

The Research Engineer will design and conduct experiments at the intersection of manufacturing and AI, developing workflows and integrated systems to enhance manufacturing processes and technologies.

Deploy and integrate humanoid robot solutions at customer sites across North America. Conduct site assessments and data collection, build lab test rigs and digital/physical twins, run demos and acceptance testing, support on-site integration and troubleshooting, manage PoCs and pilots, collect product feedback, and collaborate with engineering and product teams to optimize deployments.

Lead deployment and integration of humanoid robot solutions at customer sites across North America. Plan and supervise PoC and pilot projects, run lab testing and acceptance tests, manage product releases and solution integration, deliver demos and support go-to-market activities, and coordinate cross-functional teams while prioritizing customer feedback and performance improvements.

Lead the Navigation software platform program across multiple projects, aligning roadmap, governance, release planning, risk mitigation, and cross-functional stakeholders in a regulated medical device environment. Drive platform-level decisions, financial planning, external partner oversight, release readiness, and executive reporting to ensure compliant, timely delivery of software-enabled surgical navigation and robotics solutions.

Execute quality-control testing and hands-on troubleshooting of newly built ion implanters, document interventions, and travel (up to 20%) to customer sites to support onsite testing and production readiness. Work cross-functionally with assemblers, design and software engineers, and vendors.

This role involves developing sales strategies for automated solutions, qualifying opportunities, designing systems, and managing customer relationships while leading a team of Automation Account Managers.

The Sales Executive will drive revenue growth by sourcing and closing large-scale enterprise deals in automation and robotics, while managing complex sales cycles and building long-term customer partnerships.

Design and build custom scientific instruments across mechanical, electronics, and firmware domains; develop and execute NGS workflows and assays; maintain sequencing QC; troubleshoot experiments and validate assays with biologists; write protocols/SOPs; set up and maintain lab instrumentation; iterate prototypes to production and communicate technical tradeoffs to team and stakeholders.

Build and own full-stack AI platform systems: backend services, data pipelines, frontends, and cloud infrastructure. Integrate LLM agents with lab data, instruments, and databases; prototype and harden agentic workflows; write well-tested code; mentor teammates and drive engineering best practices in a research-focused environment.

Design, build, and run system integration tests for hardware and software. Develop and maintain HIL/SIL test environments, map requirements to test cases, track defects in Jira/TestRail, ensure quality and safety compliance, and collaborate with robotics, controls, firmware, and product teams.

Lead full sales cycle to grow OptiTrack's presence in U.S. Government, DoD, and Intelligence Community accounts. Build pipeline, advance long-cycle technical opportunities, close deals with primes and subcontractors, partner with technical teams for demos and scoping, maintain accurate Salesforce data, represent the company at industry events, and provide market feedback to product and leadership teams.

The VP of Engineering will lead the creation of a unified platform for lab automation, integrating AI for enhanced scientific experimentation, driving engineering initiatives, and mentoring teams across multi-disciplinary domains.

The Product Manager will drive strategy and vision for semiconductor automation solutions, focusing on Vacuum Robots. Responsibilities include overseeing product roadmaps, market analysis, cross-functional collaboration, customer engagement, and managing the product lifecycle.

Design end-to-end product experiences at the intersection of manufacturing, robotics, and physical AI. Conduct field research at customer plants, translate insights into scalable product concepts, prototype solutions (including code), collaborate with engineers and strategists, and iterate based on real-world use to improve workflows, throughput, and safety.

Own end-to-end customer deployments for on-site robotics: coordinate site readiness, timelines, delivery, and cross-functional stakeholders; identify and resolve risks; document and improve deployment playbooks; support early post-launch stabilization and handoff to Customer Success.

Develop advanced learning algorithms for dexterous robots, create simulations, and manage data collection and evaluation frameworks.