Robotics Software Engineer
About the job
- A bachelor's, master's, or higher degree in Computer Science, Robotics, Computer Engineering, or a related technical field.
- At least 3 years of professional experience writing production-quality C++, including memory management, multithreading, and real-time constraints.
- Hands-on experience with ROS2 or similar robotic middleware, including custom message generation and lifecycle management.
- Strong understanding of Linux systems, including profiling tools to identify and resolve latency bottlenecks.
- Experience deploying and optimizing machine learning models, such as TensorRT or ONNX, on edge devices or robotic platforms.
- Maintain a deep understanding of the full robotics software stack and profile and optimize data flows to minimize end-to-end latencies across components.
- Design and implement logging and monitoring frameworks to facilitate rapid debugging and provide visibility into system data flows.
- Develop testing suites and validation pipelines to identify robot degradation and anomalies.
- Design and execute system identification experiments to refine simulation models and controller performance.
- Build streamlined deployment systems for machine learning models, prioritizing intuitive tooling that simplifies prototyping and minimizes friction for research teams.
- Author and maintain high-performance, production-grade C++ codebases following industry best practices, and use Python for tooling, data analysis, and scripting.
- Identify performance and scalability bottlenecks and drive iterative enhancements to the software architecture.
- Design and implement safety functions while ensuring compatibility with machine learning models.
- Experience implementing safety functions or working with functional safety standards.
- Strong foundational knowledge of system identification, control theory, and rigid body dynamics.
- Experience building automated testing pipelines, continuous integration and continuous delivery for hardware, and custom logging, telemetry, or visualization stacks.
- Proficiency using simulation environments for system validation and testing.
About the company
Eka Robotics builds transport robotics systems that use automated guided vehicles, control software, and fleet management tools to move materials and automate handling. The platform trains robot controllers in simulation with self-supervised learning and then transfers the learned policies to real robots through sim-to-real reinforcement learning. It differentiates itself with a team from MIT, Berkeley, Harvard, DeepMind, and Boston Dynamics and a focus on physical AI, combining robotics, perception, control, and fleet management in one platform. The goal is to enable machines to automatically learn about their environment and continuously improve, delivering autonomous transport robotics and embodied intelligence for robotics and drones.
Company Size
11-50
Company Stage
Series A
Total Funding
$150M
Headquarters
Cambridge, Massachusetts
Founded
2025
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Simplify's Take
What believers are saying
- Eka is hiring ML, robotics, and embedded engineers to scale R&D.
- Official site says it is deploying intelligence into the physical world.
- Investor backing from MFV Partners and E14 signals early conviction in the thesis.
What critics are saying
- Eka disclosed no customers, deployments, or commercialization timeline after launch.
- Funding remains opaque, despite conflicting $13 million and $2.5 million reports.
- VFA must beat VLA competitors like Physical Intelligence by benchmarks, or fade.
What makes Eka unique
- Eka Robotics launched April 29, 2026 with force-first VFA robotics.
- Pulkit Agrawal and Tuomas Haarnoja combine MIT and DeepMind research depth.
- Custom tactile grippers and sim-only reinforcement learning target superhuman manipulation.
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Benefits
- Hybrid Work Options