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# Senior Robotics Software Engineer, System Integration

- **Company:** Level-FieldAI LLC
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Automation of Tests, C++ (Programming Language), Continuous Integration, Software Debugging, Inter-Process Communication, Python (Programming Language), Motion Planning, Open Source Technology, Real-Time Operating Systems, Regression Testing, Robotic Automation Software, Software Systems, Systems Integration, Robot Operating System, Real Time Systems, Hardware Testing, Information Technology, Low Latency
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/da62797b-042a-46ac-b6c6-ca4ea312d36a/senior-robotics-software-engineer-system-integration

## About the Role

* Bachelor's or Master's in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent industry experience).H
 * Hands-on experience developing and integrating robotics software, including work on physical hardware.
 * Strong C++ and Python proficiency with modern best practices; able to work in large, multi-language codebases.
 * Strong understanding of ROS/ROS2 and experience designing, building, and deploying nodes in complex robotic systems.
 * Solid understanding of real-time systems, inter-process communication, and resource-constrained embedded compute environments.
 * Experience hardening research/prototype code into production-quality software with testing and fault handling.
 * Strong problem-solving skills, attention to detail, and ability to work independently while managing multiple priorities.
 * Strong work ethic, self-motivated, and excellent written/verbal communication skills.

What Will Set You Apart

 * Experience with humanoid robots, legged locomotion platforms, or complex dexterous manipulation systems.Familiarity with motion planning, whole-body control, or contact-rich manipulation pipelines.
 * Experience working with computationally constrained platforms and designing efficient, real-time software with low overhead.
 * Background in CI/CD, automated testing, and release engineering for robotics software.
 * Contributions to open-source robotics frameworks or tools.
 * Experience deploying robots in unstructured, real-world environments (construction, logistics, manufacturing, mining, defense).

## Description

FieldAI is seeking passionate engineers to play a vital role in the development of our humanoid robot software stack. You will work with a focused team in a fast-paced environment to integrate perception, planning, locomotion, and manipulation subsystems into a single cohesive system that runs reliably on real hardware in unstructured, real-world environments. A core part of this role will be working with integrating and graduating research-grade capabilities into robust, production-quality systems. The ideal candidate will have a strong understanding of robotic software systems and the practical skills to deliver high-quality, maintainable code on a small, focused team. What You'll Get To Do

 * Develop and maintain the core software framework that composes perception, planning, locomotion, and manipulation into a deployable system on humanoid platforms.
 * Define and enforce subsystem interfaces, communication patterns, and data contracts for reliable, independent module development.
 * Own system bring-up, sensor calibration, and validation workflows for new sensor/platform revisions and configurations.
 * Partner with research engineers to take algorithms from prototype to production-quality, tested, maintainable code.
 * Identify and close reliability gaps with fault handling, performance budgets, integration/regression tests, and hardware validation.
 * Build repeatable "graduation" pipelines so new capabilities land without breaking existing functionality.
 * Design and run end-to-end integration tests across hardware and simulation.
 * Build tooling for automated diagnostics, telemetry, and post-run analysis to speed up debugging.
 * Coordinate integration milestones across teams, flag risks early, and keep the system continuously shippable.
 * Profile and optimize latency, throughput, and memory on embedded platforms under real-time constraints.
 * Harden the stack against real-world failure modes (sensor dropouts, comms loss, thermal throttling, degraded modes).
 * Implement runtime monitoring and health checks so the robot can detect, log, and recover from faults autonomously.