Robotics Software Engineer

About Eka Robotics

Eka Robotics is on a mission to augment the human workforce by endowing robots with human-like dexterity to enable fast and reliable manipulation. Our approach, based on reactive intelligence software and hardware, will automate tasks that previously only humans could do.

We are a team of world-leading pioneers in robotics and are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to play key roles in building next-generation robotic systems, ranging from academic backgrounds in robot learning to industry-hardened experience in robot deployment.

Responsibilities

• Stack Optimization: Maintain a deep understanding of the full robotics software stack; profile and optimize data flows to minimize end-to-end latencies across components.

• Observability & Diagnostics: Design and implement logging and monitoring frameworks to facilitate rapid debugging and provide visibility into system dataflows.

• Testing & Health Monitoring: Develop testing suites and validation pipelines specifically designed to identify robot degradation and anomalies.

• System Identification: Design and execute experiments for system identification to refine simulation models and controller performance.

• ML Deployment & Developer Experience: Build streamlined deployment systems for machine learning models, prioritizing intuitive tooling that simplifies prototyping and minimizes friction for research teams.

• Production-Level C++/python: Author and maintain high-performance, production-grade C++ codebases adhering to industry best practices, and use Python for tooling, data analysis, and scripting.

• Performance & Scalability: Proactively identify bottlenecks in performance and scalability, driving iterative enhancements to the software architecture.

• Safety Integration: Design and implement safety functions while ensuring their compatibility with machine learning models.

Minimum Qualifications

• Education: BS, MS or higher in Computer Science, Robotics, Computer Engineering, or a related technical field.

• C++ Expertise: 3+ years of professional experience writing production-quality C++, with a focus on memory management, multi-threading, and real-time constraints.

• Robotics Frameworks: Hands-on experience with ROS2 or similar robotic middleware, including custom message generation and lifecycle management.

• Systems Engineering: Strong understanding of Linux systems, including profiling tools to identify and resolve latency bottlenecks.

• ML Deployment: Experience deploying and optimizing machine learning models (TensorRT, ONNX) onto edge devices or robotic platforms.

Preferred Qualifications

• Safety Critical Systems: Experience implementing safety functions or working with functional safety standards.

• Math & Physics: Strong foundational knowledge of system identification, control theory, and rigid body dynamics.

• Infrastructure & DevOps: Experience building automated testing pipelines, CI/CD for hardware, and custom logging/telemetry/visualization stacks.

• Simulation: Proficiency in using simulation environments for system validation and testing.