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.

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.

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.

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.

Provide hands-on manufacturing engineering support to troubleshoot equipment, tooling, automation and processes. Lead root-cause investigations and corrective actions, analyze production data, develop scalable process and automation solutions, support NPI/DFM, maintain documentation, and drive Lean/Six Sigma continuous improvement to improve quality, yield, and throughput.

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 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.

Lead research developing foundation models for robotics, align text reasoning with low-level control, design zero-shot generalization experiments, integrate models into robotic applications, and publish and present results at conferences.

Lead product strategy and roadmap to convert advanced AI and robotic research (VLA models, agentic RAG) into customer-facing solutions. Define safety, usability, and performance metrics, work with early enterprise adopters for feedback, and coordinate cross-functional teams to deliver complex hardware and deep-tech software products.

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

Seeking a Research Manager to lead teams in AI and robotics, defining research strategies and overseeing project deployments from concept to execution.

Lead R&D innovation to develop and validate robotic concepts through rapid prototyping, system design, hardware/software integration, and cross-functional collaboration. Drive technical alignment, document designs for NPI, and research cutting-edge algorithms and solutions to de-risk and advance next-generation consumer robots.

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.

The role requires managing customer sites using Tutor robots, diagnosing operational issues, and working closely with engineering to enhance performance.

Manage customer robotics deployments, diagnose and resolve technical issues, partner with engineering for improvements, and maintain customer relationships.

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

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

Lead implementation, optimization, and lifecycle support of automation systems (DeltaV, PLCs, SCADA, AVEVA PI, robotics) for pharma manufacturing. Collaborate cross-functionally to integrate systems with MES/ODH, drive standards (ISA-95/88), support validation/compliance (cGMP, CSV), lead CAPEX projects, and provide commissioning, on-call, and continuous improvement support with AI/ML initiatives.

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 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.

Participate in a structured rotational engineering program across manufacturing, automation, digital manufacturing, and operations. Contribute to process improvement, equipment reliability, product quality, safety, automation projects, manufacturing intelligence, data analytics, and operational excellence while developing technical and leadership skills.

Join an early-career rotational engineering program delivering assignments across manufacturing, automation, digital manufacturing, product quality, reliability, and operations. Work on process improvement, automation, data analytics, manufacturing intelligence, and continuous improvement while rotating through technical and leadership roles across multiple US sites.