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.

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 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%.

Support hardware engineering teams by designing, documenting, building, testing, and debugging robotic and electromechanical systems. Responsibilities include CAD-based part design, assembly, robot motion scripting in Python, BOM and ECO management, PLC implementation, reliability testing, and root cause analysis. Interns may work across mechanical, electrical, testing, and industrial controls functions while collaborating with experienced engineers on warehouse automation technology.

Designs and develops electrical systems for uncrewed undersea vehicles, sensor payloads, and command-and-control systems. Responsibilities include analog and digital circuit design, PCB development, board bring-up, hardware debugging, sensor integration, embedded system interfaces, and lab, pool, and at-sea testing. The role collaborates with mechanical, software, and systems engineers while maintaining design and test documentation and contributing to electrical architectures and system requirements.

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.

Develop and optimize deep learning models for computer vision applications, focusing on neural network architecture, training, inference optimization, and production deployment. Build tools and infrastructure for model training, evaluation, and deployment in Linux and cloud environments. Research emerging machine learning techniques, integrate them into products, and collaborate with software engineers on customer-focused projects throughout the product lifecycle.

Owns end-to-end system architecture for robotic manipulation platforms. Defines requirements, functional allocations, interfaces, roadmaps, and architecture documentation; leads cross-domain requirements decomposition, trade studies, integration, verification, validation, and acceptance planning. Drives technical decisions, manages architectural risks, establishes systems engineering governance, and mentors engineering teams through design and architecture reviews.

Develop embedded and robotics software for semiconductor automation systems, including motion control, vacuum subsystem interfaces, diagnostics, data collection, analytics, and monitoring. Apply machine learning and AI to improve performance and reliability. Collaborate with engineering, product, manufacturing, field service, and customers; define requirements, participate in design reviews, implement automated testing, support DevOps improvements, and troubleshoot field issues.

Leads mechanical design and development of precision vacuum robots and electromechanical automation systems. Responsibilities include product development, FEA and tolerance analysis, technical leadership, prototype and production support, DFX initiatives, customer and supplier collaboration, sustaining engineering, root-cause investigations, and reliability improvements. The role also mentors engineers, supports technology roadmaps, and drives products from concept through production release.

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 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 a small engineering team developing mission autonomy software for strategic decision-making, world modeling, predictive simulation, adaptive planning, and adversarial environments. Serves as a technical and customer-facing subject matter expert, leads proposals and programs, integrates edge-platform software, and advances R&D roadmaps. The role involves robotics algorithms, simulation-based validation, classical and machine-learning autonomy, behavior architectures, mission-log analysis, and occasional travel.

Supports hands-on engineering education across design, fabrication, and laboratory courses. Mentors multidisciplinary student teams on embedded systems, robotics, sensing, mechatronics, prototyping, product development, testing, and system integration. Leads workshops, technical reviews, and instructional activities; maintains fabrication spaces, develops SOPs, manages equipment usage, and enforces safety practices. The role requires on-site supervision, flexible scheduling, occasional weekend activities, and the ability to move equipment weighing up to 50 pounds.

Lead UX productization across app, web, and embodied AI experiences. Define interaction patterns, system states, visual language, and scalable design systems across digital and physical touchpoints. Partner with Product, AI, Software, Hardware, Research, and Engineering to translate product vision into launch-ready experiences. Design for edge cases, failure recovery, and support while using prototyping, research, behavioral data, and customer feedback to guide implementation and evolution.

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.

Build and operate scalable ML infrastructure and platform capabilities across cloud and on-premises environments. Develop Python-based developer tooling, services, and production systems supporting experimentation, distributed training, model deployment, and operations. Lead complex initiatives from architecture through rollout, improve reliability and developer productivity, and partner with ML and infrastructure teams. The role emphasizes Kubernetes, AWS, distributed compute, GPU-intensive workloads, observability, and production excellence.

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.