
Eka
Eka Robotics develops general-purpose robotic systems and autonomy software to bring reliable, high‑speed automation to real‑world environments. The company applies physics‑based methods alongside modern AI to build and deploy robots that can handle varied tasks across industries. Privately held and based in Cambridge, Massachusetts, it focuses on advancing and commercializing robotic intelligence for practical deployment.
Open Positions at Eka
6 open positions
Developer Productivity Engineer responsible for building and improving the systems and tools that help robotics researchers and engineers develop, test, and deploy more efficiently. The role centers on reliable, reproducible builds, faster feedback, and developer-focused internal tooling.
Robotics Software Engineer building high-performance software, diagnostics, testing, and ML deployment systems for reliable physical-world robots. The role combines production C++ and Python development with robotics systems engineering, simulation, safety, and performance optimization.
Research Engineer focused on building and scaling high-performance physics simulation for robotics training and deployment. You’ll improve contact-rich environments, GPU-based simulators, and simulation-to-real workflows.
Build state-of-the-art computer vision and visual learning systems that enable robots to perceive, learn, and perform manipulation tasks in the physical world. This hands-on role spans model research, synthetic data generation, simulation, sensor evaluation, and real-robot deployment.
Build and scale the training infrastructure that powers Eka Robotics’ reinforcement learning and machine learning systems for physical-world robots. You’ll improve developer tooling, distributed training, resource management, and the path from research experiments to production.
Develop reinforcement learning and supervised learning algorithms that enable robots to perform manipulation tasks in simulation and on physical hardware. This hands-on role combines robotics research, data pipelines, model optimization, and real-world policy deployment.