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FieldAI

Research / Software Engineer, Humanoid Whole Body Learning

today
FieldAI · Boston, MA
$120k–220kOn-siteFull-timePython · C++
FieldAI

Research / Software Engineer, Humanoid Whole Body Learning

FieldAI · 🇺🇸 Boston, MA · posted today
ApplyFull posting

Extracted from the posting

Base
$120,000 – $220,000
Remote
On-site
Stack
Python, C++, NVIDIA Isaac Sim, NVIDIA Isaac Lab

TL;DR

Develop and train whole-body loco-manipulation policies for humanoid robots and deploy them to physical humanoids within the production software stack. Work includes motion retargeting, sim-to-real gap reduction, and automated evaluation, using reinforcement learning and tools such as NVIDIA Isaac Sim and Isaac Lab. The team is based in Boston.

About FieldAI →

The full posting

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 a Software/Research Engineer to help build the learning systems that power our next generation of humanoid robots. You'll work across whole-body loco-manipulation, reinforcement learning, motion retargeting, and real-world robot deployment, turning new research and technical developments into reliable capabilities on physical humanoids. This is a highly hands-on role for someone excited about closing the loop between research, simulation, and robots operating in the real world.

What You Will Get To Do

    What You Bring

      What Will Set You Apart

        Why Join FieldAI?

        FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.

        You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.

        Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.

        Be Part of the Next Robotics Revolution

        Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.

        We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.

        Equal Opportunity

        FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

        Compensation: USD 120,000 – 220,000 per year salary