Top Robotics Engineer Jobs in Boston, MA

Lead evaluation and prototyping of robotics communication middleware (e.g., Zenoh), design zero-copy/shared-memory messaging on NVIDIA Jetson, optimize serialization, memory layout, and transport, develop benchmarking for latency/throughput/CPU/GPU, collaborate with engineering teams, and document recommendations for production middleware.

Develop, integrate, and maintain robotics software across navigation, manipulation, perception, controls, and system integration. Implement ROS 2-based C++/Python applications, debug hardware/software integrations, support simulation and hardware-in-the-loop testing, and collaborate on architecture, code reviews, and deployment of physical robotic systems.

The Electrical Engineer will design, validate, and develop robotic systems, focusing on electronic systems, motor control, and collaboration with multidisciplinary teams.

As a Robotics Software Engineer, you will develop software for robots, focusing on real-time code execution, motion planning, and optimization systems while collaborating in a team environment.

The role involves developing software for robots to enhance capabilities in vision, motion, and control, focusing on complex problem-solving.

The Robotics Infrastructure Engineer manages robot reliability, cloud infrastructure, and developer tools while collaborating with AI agents for automation and debugging tasks.

The Simulation Software Engineer will develop and maintain simulation environments, improve workflows, and ensure reliability and accessibility of robotics simulations.

Develop and own robotics controls testing, validation, and hardware-in-the-loop infrastructure. Define repeatability and accuracy metrics, expand automated testing, validate new hardware integrations, and diagnose failures across controls, firmware, and hardware. Build observability and diagnostic tooling, perform real-robot bring-up, and maintain engineering documentation and runbooks. The role requires strong control theory, modern C++, Python, robotics hardware experience, data analysis judgment, and cross-stack debugging skills.

Own the end-to-end development of one or more robots, from initial concepts and prototyping through manufacturing, deployment, and support. Design hardware, understand system-level tradeoffs, collaborate across teams, iterate quickly and methodically, and mentor other engineers. The role requires strong hands-on mechanical engineering ability and comfort working in fast-paced startups, labs, or technical teams.

Own a portfolio of customer sites running Tutor robots: diagnose software and hardware issues, build scripts/tooling and playbooks to automate recurring work, partner with engineering on fixes, track fleet health, and maintain customer relationships while spending onsite and remote time.

Develop robotics software for laboratory automation systems, focusing on precise motion control, liquid handling, sample transport, real-time perception, sensor fusion, computer vision, and calibration. Optimize embedded and real-time performance, conduct hardware-in-the-loop testing, and implement CI/CD validation. Collaborate with mechanical, electrical, firmware, and AI teams to deliver safe, reliable autonomous instrument behaviors from concept through verification.

Provide technical leadership and architectural direction for complex robotics software supporting autonomous platforms. Design fault-tolerant systems for vehicle control, motion planning, localization, perception, controls, and fleet management. Collaborate across robotics, hardware, machine learning, perception, systems engineering, and product teams; establish software standards, testing, deployment, and validation practices; debug hardware-software integrations; and mentor engineers. The role focuses on reliable, safety-critical production software for autonomous agricultural and heavy machinery.

Design, develop, and maintain software systems orchestrating robotic warehouse operations, including AMR fleets, inventory movement, order fulfillment, task routing, and workstation activities. Build resilient microservices, APIs, and event-driven systems; integrate robotics platforms; support simulation and automated testing; monitor performance; troubleshoot incidents; and contribute to architecture, deployment pipelines, and technical roadmaps.

Design and bring up embedded compute platforms for humanoid robots, develop firmware, BSPs, and Linux kernel support, integrate sensors and actuators, ensure real-time communication and edge ML inference, and collaborate cross-functionally to deliver safety-conscious, SWaP-constrained backpack payloads.

Design, develop, test, and debug features for autonomous construction equipment while optimizing controls systems and maintaining code quality standards.

Lead the design, development, and deployment of autonomous systems for heavy construction equipment while mentoring engineering teams and improving system performance.

The Robotics Control Engineer will develop robotic control systems, engage in software development, and coordinate automation projects, working with various communication protocols and hardware.

Design, build, integrate, and test software and hardware for unmanned maritime robots. Develop autonomy, guidance, navigation, SLAM, and tracking algorithms; integrate sensors, controllers, and communications; build diagnostics, logging, and analysis tools; support lab and field testing and collaborate on system architecture.

Lead end-to-end robot hardware development: design, prototype, manufacture, deploy, and support robots. Mentor engineers, collaborate cross-functionally, iterate rapidly, and own system-level tradeoffs.

Lead verification & validation and software quality for autonomous lab robotics. Build Python test automation (unit, API, UI), hardware-in-the-loop and simulation-based tests, integrate suites into CI/CD, define V&V/test plans mapping requirements to coverage, diagnose nondeterminism/flakiness, and manage reproducible test data and fixtures across software-hardware boundaries.

Design and build backend and data systems for autonomous labs: scheduling (Temporal workflows), digital-twin modeling, data pipelines (Flyte), S3 lakehouse and PostgreSQL modeling, capacity planning services, and operate services on AWS EKS with Docker, Terraform, and CI/CD for scale and reliability.

Design, build, and productionize motion planning software for mobile manipulators and AMRs; deploy, benchmark, and validate planners across fleet compute platforms; create simulation CI to catch regressions; debug and tune on real hardware at customer sites; collaborate with perception, hardware, firmware, and deployment teams; write production-grade Python and C++ software meeting strict reliability, latency, and safety requirements.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.

Design, optimize, and maintain the full robotics software stack: profile and reduce latency, build logging/monitoring and validation pipelines, run system-identification experiments, deploy ML models to edge devices, author production C++ and Python code, ensure performance and scalability, and integrate safety functions compatible with ML components.

Design, implement, test, and document embedded systems and vision algorithms for a braid-assist robotic product. Improve real-time motion control, feedback systems, and integrate computer vision with hardware, collaborating with mechanical, electrical, and design teams to move R&D into salon deployment.