Jobs at Eka Robotics

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 debug firmware and electrical systems for a battery-operated robotic manipulation platform: customize motor driver PCBAs, perform PCBA bringup and validation, design cable harnesses, and integrate power electronics and peripherals.

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 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, 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.

Design, implement, and maintain large-scale ML/RL training infrastructure: job orchestration, scheduling, checkpointing, experiment tracking, developer tooling, distributed training, and resource management for cloud compute.