Robotics Software Engineer

Eka; Cambridge (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

Eka Robotics is seeking hands-on software engineers to scale our robotics R&D. You will own performance across the full software stack, profiling data flows to reduce end-to-end latencies across components in production systems.

You will work with C++ and Python, ROS2, and ML deployment tooling to push models to edge devices, implement safety functions, and improve observability, testing, and system identification for better controller performance.

Qualifications

• BS, MS or higher in CS/Robotics/CE or related technical field.
• 3+ years of professional C++ production-quality experience with memory management and real-time constraints.
• Hands-on experience with ROS2 or similar robotic middleware and custom message generation.

Responsibilities

• Maintain deep understanding of the full robotics software stack and optimize data flows to minimize end-to-end latencies.
• Design and implement logging and monitoring frameworks for rapid debugging and visibility into system dataflows.
• Develop testing suites and validation pipelines to identify robot degradation and anomalies.
• Design and execute experiments for system identification to refine simulation models and controller performance.
• Build streamlined deployment systems for ML models to simplify prototyping for research teams.
• Author and maintain production-grade C++ codebases; use Python for tooling and data analysis.
• Identify bottlenecks in performance and scalability and drive architecture improvements.
• Design safety functions compatible with ML models.

Skills

C++

Multi-threading

Real-time systems

Linux

Python

Machine learning deployment

Education

BS, MS or higher in Computer Science, Robotics, Computer Engineering, or related technical field

Tools

ROS2

ONNX/TensorRT

CI/CD

Job description

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

• 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.