Software Engineer, Robotics

Location: Boston (On-site 2 days per week)

Rate: C2C/W2 considered- up to $115phr

Start
:
November 2026

Duation : 12 months

We're working with an early-stage robotics company in Boston developing advanced intelligent systems designed for real-world environments. Their mission is to build highly capable, adaptable, and dependable robotic platforms that bridge robotics and machine learning.

As the team continues to grow, they are looking for a Robotics Software Engineer to join their R&D function and play a key role in developing scalable, high-performance robotic systems from the ground up.

• Optimise performance across the robotics software stack, improving data flow efficiency and reducing system latency.
• Develop observability, monitoring, and diagnostic tooling to support system reliability and faster troubleshooting.
• Build automated testing and validation frameworks to detect failures, behavioural anomalies, and hardware degradation.
• Conduct system identification experiments to improve simulation accuracy and controller tuning.
• Create streamlined deployment pipelines and internal tooling for machine learning workflows and rapid experimentation.
• Develop robust, production-quality software in C++, while using Python for scripting, automation, and data analysis tasks.
• Identify performance bottlenecks and contribute to ongoing improvements in scalability, reliability, and system architecture.
• Support the integration of safety-critical functionality across robotics and machine learning systems.

• Degree in Computer Science, Robotics, Computer Engineering, or a related technical discipline.
• 3+ years of industry experience developing production-level software using C or C++.
• Strong understanding of multithreading, memory management, and real-time systems.
• Experience working with ROS2 or comparable robotics middleware frameworks.
• Strong Linux debugging and profiling experience for diagnosing performance and latency issues.
• Experience deploying machine learning models using frameworks such as TensorRT or ONNX on robotic or edge devices.

• Exposure to safety-critical systems or functional safety environments.
• Knowledge of control systems, rigid body dynamics, system identification, or robotics physics.
• Experience building CI/CD pipelines, automated testing systems, or telemetry/visualisation tools for robotics platforms.
• Familiarity with robotics simulation environments.
• Experience with perception systems, sensors, or camera integration.

Please note that sponsorship is not available for this opportunity.