Robotics Software Engineer

About the role

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, and locomotion 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.

- Own sensor calibration, perception pipelines and validation workflows for new sensor/platform revisions and configurations.

- Define and enforce subsystem interfaces, communication patterns, and data contracts for reliable, independent module development.

- 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.

- 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.

What You Bring - Bachelor’s or Master’s in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent industry experience).

- 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.