Sr. Robotics Software Engineer, System Integration
$115k - $170kFieldAI
FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
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.
- Bachelor's or Master's in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent industry experience).
- 7+ years 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.
- 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).
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