Top Tech Jobs & Startup Jobs in Boston, MA

Own validation strategy and end-to-end testing for robotic hardware, including PCBAs, actuators, grippers, and robotic arms. Design automated test equipment, fixtures, and reusable infrastructure; execute functional, environmental, stress, and reliability testing; investigate failures; and drive corrective actions. Lead certification activities, documentation, and cross-functional testability improvements while mentoring engineers and informing hardware release decisions.

Lead hands-on recruiting for specialized technical talent in robotics, reinforcement learning, computer vision, simulation, and software. Responsibilities include sourcing, talent mapping, candidate engagement, interviews, offer closing, recruiting process improvement, and partnership with leadership. The role also supports broader People initiatives such as headcount planning, compensation, performance management, manager development, and company expansion strategy.

Build and lead Eka’s People function through startup growth. Responsibilities include organizational design, headcount planning, compensation and equity programs, performance management, manager development, culture, employee experience, HR policies, benefits, payroll, compliance, employee relations, People systems, and leadership advising. The role is highly hands-on and requires building scalable processes while supporting employees and partnering closely with talent and company leadership.

Own and improve developer productivity through Bazel build infrastructure, CI reliability, developer tooling, reproducible environments, and streamlined engineering workflows. Optimize builds and tests across Linux, macOS, and GPU-enabled containers. Build internal tools as products, collaborate with robotics and research teams, and measure improvements in development velocity, onboarding, reliability, and troubleshooting.

Deploy, configure, calibrate, troubleshoot, and support robotic manipulation systems at customer sites and demonstrations. Triage fleet issues across hardware and software, analyze telemetry and logs, perform root-cause analysis, develop diagnostic tools and procedures, document field operations, and collaborate with engineering teams to improve reliability. The role travels more than 50% and requires independent technical leadership during deployments.

Lead mechanical design of robotic hands and actuation modules: select components, build prototypes (3D print, CNC), perform basic FEA, define and run test plans, iterate designs with cross-functional teams to meet performance requirements.

Develop and train computer vision and visual representation pipelines for robotic manipulation (RGB, RGB-D, depth, segmentation, pose, keypoints). Build perception models to support RL and imitation policies, improve synthetic/real data pipelines, evaluate models on real robots, calibrate sensors, and collaborate with robotics and simulation engineers to iterate on models and data for robust deployment.

Develop and implement reinforcement and supervised learning algorithms for robotic manipulation, build simulations and domain randomization, optimize model architectures and data pipelines for sample efficiency, and deploy, evaluate, and debug policies on physical robots.

Develop, scale, and optimize physics-based GPU simulators; evaluate and extend physics engines; improve contact-rich manipulation realism; and build tools and workflows to validate, tune, and deploy simulation assets for training robotics policies.

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.