Top Robotics Jobs in Boston, MA

Consult with manufacturing clients to analyze processes, identify bottlenecks, and develop strategies to improve speed to market, reduce costs, and enhance quality. Implement lean and Six Sigma methodologies, optimize supply chain integration, leverage digital technologies, conduct feasibility and market analyses, manage project resources, and advise on compliance while building client relationships and developing team leadership skills.

Lead client engagements to optimize manufacturing and product development lifecycles using lean and Six Sigma methods, supply chain integration, PLM, and digital technologies. Manage project planning, budgeting, team coaching, feasibility and cost analyses, and drive adoption of emerging technologies to improve speed to market, reduce cost, and enhance quality.

Leads the development and enhancement of robotic product platforms from concept through launch. Owns technical roadmaps, product specifications, validation, competitive benchmarking, legacy product improvements, project timelines, and vendor coordination. Collaborates with engineering, software, UX, quality, marketing, and supply chain teams to deliver reliable, intelligent, consumer-focused robots incorporating navigation, perception, AI, connectivity, and embedded technologies.

Own the Shark Robots category strategy, roadmap, product specifications, quality standards, cost structure, sourcing strategy, go-to-market plans, budget, and resourcing. Lead and develop managers and product developers while partnering across engineering, design, marketing, testing, quality, supply chain, and executive leadership. Drive consumer-focused product decisions, breakthrough initiatives, portfolio growth, and product launches from concept through mass production.

Lead a multidisciplinary robotics engineering team developing autonomous consumer products from concept through mass production. Own robotic system design, mechanical and electrical integration, embedded controls, sensors, actuators, batteries, prototyping, testing, verification, and validation. Drive improvements in cost, manufacturability, quality, reliability, and consumer value while collaborating with international product teams and executives. Hire, mentor, and develop engineers while delivering robust robotic systems.

Lead development and technical delivery of maritime autonomy capabilities for USVs, UUVs, and cooperating UAVs. Design motion planning, localization, tracking, safety assurance, COLREGS-compliant behaviors, and heterogeneous multi-agent collaboration. Build high-performance, well-tested software, integrate it onto real platforms, support deployment and demonstrations, analyze mission logs, and contribute to R&D roadmaps. Collaborate across perception, planning, simulation, hardware, and operational test teams while helping customers define requirements and technical approaches.

Lead technical direction for maritime autonomy capabilities across multiple programs. Develop motion planning, localization, tracking, safe maritime behaviors, COLREGS-compliant operations, and heterogeneous multi-agent collaboration for USVs, UUVs, and UAVs. Build and integrate high-performance, rigorously tested software; support deployment, vehicle testing, demonstrations, and mission-log analysis. Mentor engineers, guide architecture and roadmaps, research new algorithms, and collaborate across perception, planning, simulation, hardware, and operational test teams. Travel is typically about 25%.

Develop and deploy autonomy software for unmanned surface, underwater, and aerial vehicles in maritime missions. Responsibilities include motion planning, localization and tracking, safety assurance, COLREGS adherence, multi-agent coordination, distributed optimization, rigorous software testing, platform integration, deployment support, mission-log analysis, and autonomy R&D. The role also involves cross-functional collaboration, customer and demonstration support, roadmap development, and mentoring junior engineers. Travel is typically approximately 25% annually.

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.

Leads the development of Shark robot products from concept through mass production, shaping category strategy and product specifications. Manages and develops a team of product developers, advocates for consumer needs, and coordinates engineering, design, marketing, quality, testing, sourcing, and supply chain partners. Owns performance, user experience, cost structure, go-to-market materials, and post-purchase content while driving multiple product programs and breakthrough initiatives.

Design and deploy AI-enabled robotic solutions for manufacturing customers. Responsibilities include developing proofs of concept, integrating cameras and models, configuring robotic cells, commissioning systems onsite, troubleshooting, training customers, documenting solutions, and collaborating with sales, applications, engineering, and product teams. The role combines robotics, AI, mechanical and electrical systems, software, customer support, and extensive domestic field travel.

MBA summer intern supporting a venture capital investment team focused on technology transforming the built environment. Responsibilities include developing investment theses, researching markets, sourcing deals, meeting founders and ecosystem participants, conducting market sizing and competitive analysis, building financial models, evaluating companies, preparing investment memos, and presenting recommendations. The role requires strong analytical, communication, presentation, and financial modeling skills, along with pre-MBA experience in private equity, venture capital, investment banking, or management consulting.

Develop trajectory generation and motion planning algorithms for production autonomous vehicles. Responsibilities include trajectory optimization, performance-critical C++ software development, simulation and testing, code and design reviews, collaboration with planning, prediction, and controls teams, technical roadmap development, and mentoring junior engineers. The role requires expertise in MPC, numerical optimization, vehicle dynamics, control, and autonomous driving systems.

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.

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.

Drive complex technical and commercial programs from planning through delivery. Coordinate scientific operations, AI/ML, software, perception, hardware, data, business, customers, and partners. Define milestones, budgets, dependencies, risks, documentation, requirements, and success metrics; resolve ambiguity and maintain execution alignment. Improve workflows and build reusable program-management systems while supporting deployments, technical decisions, and urgent operational needs. The role is in-person in Cambridge, Massachusetts, with travel to customer and partner sites as needed.

Leads the Manufacturing Engineering organization across advanced operations, sustaining engineering, process engineering, and technical field service. Drives manufacturing transformation, automation, robotics, DfX/DFM, product quality, reliability, scalability, and operational efficiency. Builds and develops a high-performing engineering team, manages cross-functional collaboration with R&D, Quality, and Supply Chain, and oversees engineering systems, infrastructure, contractors, co-ops, and interns.

Leads the productization roadmap for Analog Devices’ Physical Intelligence software stack. Converts complex hardware, software, and AI capabilities into commercial software products, SDKs, developer tools, and simulation environments. Owns product strategy, customer requirements, solution architecture, prototyping, ecosystem integration, and cross-functional alignment across research, engineering, business units, and field teams.

Lead the productization roadmap for Analog Devices’ Physical Intelligence software stack. Define strategy, requirements, architecture, and customer solutions for scalable AI products, SDKs, developer tools, and simulation environments. Drive rapid prototypes and proof-of-concepts, integrate offerings with industry ecosystems, and align research, engineering, business units, and field teams. The role requires deep expertise in physical AI, edge AI, robotics, and technical product commercialization, with responsibility for transforming complex hardware and software solutions into market-ready products.

Provides technical leadership for robotics and automation platforms supporting high-throughput scientific research. Responsibilities include system architecture, robotic and instrument integration, automation software and controls development, requirements definition, risk assessment, verification and validation, and technical advising. The role partners with scientific and engineering teams, improves research workflow reliability and throughput, mentors engineers and scientists, and contributes to robotics standards and platform strategy. This is a full-time, site-based position.

Leads a small engineering team developing mission autonomy solutions for strategic decision-making, world modeling, predictive simulation, adaptive planning, and coordinated actions in adversarial environments. Serves as a technical subject matter expert, leads proposals and programs, manages milestones, supports customer interactions, and advances R&D roadmaps. Develops and integrates edge-platform software using classical autonomy, machine learning, robotics algorithms, and simulation tools. Requires occasional travel and eligibility to obtain a U.S. DoD security clearance.

Own technical program management for the Cassie robotics workstream across software, hardware, manufacturing, field deployment, and customer operations. Manage integrated plans, milestones, dependencies, risks, operating cadence, and status reporting. Build automation using agents, scripts, and integrations to collect updates, detect drift, and coordinate hardware changes, manufacturing builds, and software releases. Ensure production fleet reliability and new products reach customers on schedule.

Develop and manage strategic customer relationships for laboratory automation and digital science solutions. Drive revenue through consultative sales, identify workflow challenges, and design integrated solutions spanning automation hardware, software, instrumentation, services, and implementation. Partner with technical, product, support, IT, procurement, and laboratory stakeholders throughout complex sales cycles. Support pharmaceutical, biotechnology, CRO/CDMO, academic, and research customers, with travel of up to 50–75%.

Develop and deploy software for laboratory automation systems, including instruments, liquid handlers, robotic workcells, and data workflows. Integrate APIs, databases, LIMS, ELN, and enterprise systems while troubleshooting hardware and software issues. Collaborate with scientists, engineers, and vendors to optimize laboratory processes, improve data quality, and support drug development. Create documentation, user guides, and software validation records.