Eka Robotics
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
Responsibilities
Algorithm Development: Research and implement reinforcement learning and supervised learning algorithms for robotic manipulation.
Simulation: Design simulation models and domain randomization strategies; collaborate with the robotics team to ensure alignment with physical systems.
Performance Optimization: Design experiments to evaluate and optimize model architectures for sample complexity and policy performance with real-time execution constraints.
Data & Pipeline Engineering: Develop scalable data management pipelines for real and synthetic data; evaluate and select algorithms that maximize data efficiency and overall policy performance.
On-Robot Evaluation: Deploy, evaluate, and debug policies on physical hardware; identify bottlenecks and implement improvements in collaboration with the robotics team.
Qualifications
Education: BS, MS, or PhD in Computer Science, Robotics, or a related field.
Core Expertise: Deep theoretical and practical knowledge of reinforcement learning and supervised learning algorithms.
Robotics Toolkit: Experience with physics engines (e.g., Isaac Sim, MuJoCo, PyBullet) and robotics middleware (ROS/ROS2).
Architectural Depth: A deep understanding of modern architectures, including Transformers, CNNs, and Foundation Models.
Technical Proficiency: Expert-level Python skills and proficiency in deep learning frameworks such as PyTorch or JAX.
Engineering Rigor: A strong commitment to clean code, version control, and reproducible experimental workflows.
Track Record: A history of publications in top-tier robotics or machine learning conferences, or a portfolio of projects providing strong practical evidence of expertise in the field.
Skills Required
- BS, MS, or PhD in Computer Science, Robotics, or related field
- Deep theoretical and practical knowledge of reinforcement learning and supervised learning algorithms
- Experience with physics engines (Isaac Sim, MuJoCo, PyBullet)
- Experience with robotics middleware (ROS/ROS2)
- Deep understanding of modern architectures including Transformers, CNNs, and Foundation Models
- Expert-level Python skills
- Proficiency in deep learning frameworks such as PyTorch or JAX
- Strong commitment to clean code, version control, and reproducible experimental workflows
- Track record of publications in top-tier robotics/ML conferences or a strong project portfolio
Eka Robotics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Eka Robotics and has not been reviewed or approved by Eka Robotics.
-
Fair & Transparent Compensation — Some Eka Robotics job postings publicly share salary bands for specific roles, offering a degree of clarity on base pay expectations. These disclosures provide directional insight even though not all listings include ranges.
Eka Robotics Insights
What We Do
We are building intelligence for the physical world in its native language: force. Until now, robotics required choosing: generality or performance. Our Vision-Force-Action (VFA) model changes that. This new foundation unites generality, performance, and safety, pushing robots beyond human limits and into everyone's hands.
Gallery
.png)
