Robotics Software Engineer

Eka Robotics; Boston (MA); On-site; USD 140,000 - 195,000; Full time

Job summary

Eka Robotics in Boston is seeking a hands-on software engineer to advance our robotics stack—from perception to control—emphasizing low-latency data flows and robust systems.

You will produce production-grade C++ code, deploy ML models on edge devices, work with ROS2 middleware, and help scale tooling and telemetry for research teams while prioritizing safety and performance.

Qualifications

• BS, MS or higher in Computer Science, Robotics, Computer Engineering, or a related technical field.
• 3+ years of professional C++ experience with memory management and multi-threading.
• Experience with ROS2 or similar robotic middleware and Linux profiling tools.
• ML deployment experience (TensorRT, ONNX) onto edge devices or robotic platforms.

Responsibilities

• Stack Optimization: profile and optimize data flows to minimize end-to-end latencies across components.
• Observability & Diagnostics: design logging and monitoring for rapid debugging and visibility into system dataflows.
• Testing & Health Monitoring: develop testing suites and validation pipelines to identify robot degradation and anomalies.
• System Identification: run experiments to refine simulation models and controller performance.
• ML Deployment & Developer Experience: build tooling to simplify prototyping and deployment for research teams.
• Production-Level C++/Python: write high-performance production code and Python tooling.
• Performance & Scalability: identify bottlenecks and drive architectural improvements.
• Safety Integration: design safety functions compatible with machine learning models.

Skills

C++

ROS2

Linux

ML deployment

Education

BS/MS or higher in CS/Robotics/CE

Tools

TensorRT

ONNX

Job description

Eka RoboticsEka 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.

Eka RoboticsEka 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.