6 months ago
Boston, MA, USAMid Level
Responsibilities
- Maintain and optimize the full robotics software stack, profiling data flows to reduce end-to-end latency.
- Design logging, monitoring, diagnostics, and telemetry systems for debugging and system visibility.
- Develop testing suites and validation pipelines to detect robot degradation and anomalies.
- Design and execute system-identification experiments to improve simulation models and controller performance.
- Build streamlined machine-learning model deployment systems and developer tooling for research teams.
- Write and maintain high-performance production C++ and Python tooling, analysis, and scripts.
- Identify performance and scalability bottlenecks and improve the software architecture.
- Implement safety functions compatible with machine-learning models.
Requirements
- Bachelor’s degree, master’s degree, or higher in Computer Science, Robotics, Computer Engineering, or a related technical field.
- At least three years of professional experience writing production-quality C++ with 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 and profiling tools for identifying and resolving latency bottlenecks.
- Experience deploying and optimizing machine-learning models using TensorRT or ONNX on edge devices or robotic platforms.
- Preferred experience with safety functions or functional safety standards.
- Preferred knowledge of system identification, control theory, and rigid-body dynamics.
- Preferred experience building automated testing pipelines, CI/CD for hardware, and custom logging, telemetry, or visualization stacks.
- Preferred proficiency with simulation environments for system validation and testing.
About Eka
Eka Robotics develops general-purpose robotic systems and autonomy software to bring reliable, high‑speed automation to real‑world environments. The company applies physics‑based methods alongside modern AI to build and deploy robots that can handle varied tasks across industries. Privately held and based in Cambridge, Massachusetts, it focuses on advancing and commercializing robotic intelligence for practical deployment.