Top Robotics Jobs in Boston, MA

Lead product development for SharkNinja robots by managing technical specifications, collaborating with cross-functional teams, and driving innovation and improvements in robotic technology.

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.

Deploy and integrate Shield AI's Hivemind autonomy software with customers worldwide, provide technical support and training, develop autonomy applications using the enterprise SDK, assist sales and post-sales integration, document solutions, and collaborate with product engineering to resolve customer issues.

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

Lead end-to-end mechanical design for consumer electromechanical products from concept through mass production. Rapidly prototype, run tolerance/DFMEA and thermal/structural/fluid analyses, build and execute test plans, support EVT/DVT/PVT and factory builds, collaborate with cross-functional teams and overseas manufacturers, lead design reviews, and mentor junior engineers.

Manage a systems engineering team for atmospheric semiconductor automation products. Ensure systems engineering principles and QMS compliance across NPI/CuSP projects, schedule resources, control budgets, resolve field escalations, and develop team skills while executing system specifications and DVT testing.

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.

The Director will build and oversee the Local Site Sustaining Engineering function, focusing on fleet reliability, incident response, and continuous improvement in lab operations across multiple sites. Responsibilities include defining operating models, leading teams, managing supply chain continuity, and integrating AI solutions for equipment health.

As an Electrical Engineer at GSK, you will manage electrical services, ensure compliance with standards, and improve electrical systems to enhance operational safety and efficiency.

Lead design, commissioning, and continuous improvement of Stack Forging production machines. Perform concept-to-production machine design, analysis, testing, documentation, vendor selection, BOM/CAD management, tolerance and statistical analysis, root-cause investigations, and mentor junior engineers to enable reliable, automated manufacturing.

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.

Lead U.S. downstream marketing for platform technologies (robotics and digital solutions). Define go-to-market, pricing, and commercial models; drive adoption, forecasting, launches, and lifecycle management; build launch excellence capability and align marketing with sales, finance, and supply chain to optimize installed base and growth.

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

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.

Lead the development of robot learning models, design simulation environments, optimize policies for real-world robots, and contribute to data lifecycle management.

Lead planning and delivery of complex software programs for Pickle's robotics platform. Coordinate cross-functional teams (software, robotics, firmware, hardware), manage risks and dependencies, run planning and release activities, improve processes and tracking, and drive alignment to deliver production-quality robotic software in a fast-paced startup.

Lead a team of project managers to implement, integrate, and support supply chain systems (including WMS and execution-layer technologies). Oversee complex, multi-site software deployments, upgrades, testing, and troubleshooting. Partner with operations, engineering, vendors, and leadership to prioritize initiatives, drive adoption, and improve operational performance while mentoring staff and ensuring successful project delivery.

As a Robotics ML Research Engineer, you will develop algorithms for robot manipulation, lead software infrastructure, and innovate in robotics learning research.

Lead system-level definition and integration of the Common EFEM platform, collaborating across various engineering disciplines to define requirements, architecture, and validate performance.

Lead pre-sales and deployment of AI-enabled machine vision and robot-guided inspection systems. Translate customer needs into technical specs, run demos/PoCs, manage large robotics projects from concept to delivery, coordinate integrators and stakeholders, produce technical documentation and ROI analyses, and support marketing with technical content.

Bridge customers and engineering to define technical requirements, lead pre-sales demos and PoCs, manage robotics and vision inspection projects end-to-end, deliver technical documentation and ROI analyses, and support onsite installs, training, and post-install support while coordinating integrators and stakeholders.

Lead pre-sales technical engagements, translate customer requirements into technical solutions, and run demos/PoCs for AI-enabled vision inspection and vision-guided robotics. Manage large-scale robotics and capital equipment projects from concept through delivery, coordinate integrators and stakeholders, and provide project governance, documentation, and ROI analyses. Travel to customer sites for demos, installs, training, and support up to 50%. Collaborate with sales, marketing, and engineering to scale deployments and produce technical marketing content.