Top Robotics Jobs in Boston, MA

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.

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.

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 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 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 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.

Develop and execute system test plans for complex robotic warehouse automation systems. Validate electro-mechanical and software integration, automate testing, analyze performance and reliability data, troubleshoot root causes, and drive corrective actions. Collaborate with hardware, software, controls, vision, and safety teams while coordinating test execution, creating dashboards, and presenting results to technical and management audiences.

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.

Leads FP&A for the R&D organization, serving as its finance business partner and advising on investment, resource allocation, and strategic planning. Oversees annual operating plans, forecasts, long-range planning, headcount and project expense planning, financial modeling, dashboards, reporting, and risk management. Partners with Engineering, Product, and Program Management, supports executive and board reporting, and manages embedded FP&A analysts while improving planning processes and reporting automation.

Develop positioning, messaging, value propositions, and go-to-market programs for Aptiv’s robotics, drones, industrial automation, and sensing portfolio. Translate complex technologies into customer-facing narratives, sales tools, campaigns, launches, digital experiences, and event materials. Gather competitive and market intelligence, support commercialization, create creative briefs, and coordinate product, engineering, sales, creative, digital, communications, and external partners to prioritize execution and improve marketing effectiveness.

Develop embedded Linux system software, automated test frameworks, software pipelines, and engineering tools using Python and C/C++. Support integration, debugging, validation, and containerized workflows with Docker. Collaborate with software, hardware, and test teams on camera-based, sensor-driven, and potentially robotic systems.

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.

Lead cross-functional teams to deliver new semiconductor automation products and customizations on time, on budget, and to specification. Manage risk, change control, and phase-gate development processes; communicate status to stakeholders; coordinate with globally dispersed teams in Asia and Europe to ensure quality and successful product transitions.

Design, develop, integrate, deploy, and validate robotics software for AMRs and Fleet Management Systems. Implement navigation, localization, path planning, fleet coordination, traffic management, and mission execution algorithms. Support system commissioning, onsite deployments, troubleshooting, simulation and lab validation, and collaborate with cross-functional teams, suppliers, and customers.

Monitor and support 24/7 robotic automation systems through incident response, technical troubleshooting, escalation coordination, performance monitoring, and system updates. Analyze incident data, document root causes, develop dashboards and scripts, maintain runbooks, and partner with software, hardware, controls, systems, and operations teams to improve system reliability. Participate in on-call support and work hybrid/on-site in Massachusetts.

Lead end-to-end external manufacturing and retrofit programs across contract manufacturing partners. Develop schedules, coordinate cross-functional manufacturing readiness and production ramps, monitor KPIs, manage risks and dependencies, and communicate program health to senior leadership. Establish scalable governance processes, executive dashboards, and continuous improvement practices while partnering with Engineering, Supply Chain, Quality, Manufacturing Operations, and Asset Management.

Lead multidisciplinary teams delivering robotic and industrial automation products from concept through production deployment and sustainment. Manage technical integration across software, mechanical, electrical, industrial, and embedded controls teams; oversee schedules, budgets, risks, issues, and corrective actions; enforce product development processes; coordinate stakeholders and customers; and drive continuous improvement across complex programs.

Lead the System Modeling and Design Simulation organization, managing 5–10 engineers and specialists. Define modeling and simulation strategy, develop mathematical and discrete-event models, optimize robotic system designs, and guide capacity, throughput, and performance analysis. Partner with architecture, controls, mechanical, and software teams on trade studies and product decisions. Establish technical standards, mentor staff, support hiring, and communicate simulation-based recommendations to engineering leaders and executives.

Leads complex technical programs across engineering, product, software, robotics, and automation teams. Responsibilities include managing risks, priorities, dependencies, milestones, accountability, cross-functional communication, executive reporting, and program health metrics using SQL and Jira. The role drives alignment, execution, process improvement, and delivery in a fast-paced technical environment, with up to 20% travel to client and customer locations.

Leads a large, multidisciplinary technical program for multi-site robotic automation deployments. Owns integrated engineering schedules, work breakdown structures, critical paths, risks, dependencies, launch readiness, issue resolution, and stakeholder communication. Coordinates software, controls, hardware, manufacturing, supply chain, and site operations teams from new product introduction through production deployment and sustainment. Establishes scalable program management standards, processes, tooling, and cadences while managing complex programs exceeding $50 million and teams of 100 or more.

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.