Research Software Engineer — Humanoid Robots & Real-World RL

Field Ai; Boston (MA); On-site; USD 140,000 - 200,000; Full time

Job summary

FieldAI, based in Boston, is transforming how robots interact with the real world. Our growing R&D team develops risk-aware, field-ready AI systems that tackle hard robotics problems and unlock embodied intelligence.

We are seeking a Software/Research Engineer to build the learning systems powering our next generation of humanoid robots. You’ll work across loco-manipulation, reinforcement learning, motion retargeting, and real-world deployment, turning new research into reliable capabilities on

Qualifications

• BS, MS, or PhD in Robotics, CS, Machine Learning, Engineering, or related field, or equivalent experience.
• Experience with reinforcement learning, imitation learning, generative models, or other learning-based approaches for robotics.
• Strong understanding of robotics fundamentals such as kinematics, dynamics, control, and physical interaction.
• Experience developing and evaluating robotic systems in simulation and/or on physical hardware.
• Ability to move between research experimentation and production-quality engineering.

Responsibilities

• Develop and train whole-body loco-manipulation policies for humanoid robots.
• Deploy trained policies to physical humanoids and integrate them into our production software stack.
• Advance our motion retargeting pipeline, transforming human motion into physically plausible, robot-executable behaviors that interact with diverse environments and objects.
• Reduce the sim-to-real gap by improving simulation fidelity and closing the real-to-sim loop, using real-world robot data to calibrate and refine our simulators.
• Build automated evaluation and validation systems that make it faster and more reliable to move policies from simulation onto physical robots.
• Improve the performance and scalability of our robot-learning infrastructure, enabling faster experimentation and policy iteration.
• Work closely with researchers and engineers across perception, learning, simulation, and hardware to turn new ideas into deployed robot capabilities.

Skills

reinforcement learning

imitation learning

generative models

robotics fundamentals

simulation & hardware experience

research-to-production

team collaboration

Education

BS/MS/PhD in Robotics, CS, ML, Engineering

Tools

NVIDIA Isaac Sim

Isaac Lab

Newton

Job description

FieldAI, based in Boston, is transforming how robots interact with the real world. Our growing R&D team develops risk-aware, field-ready AI systems that tackle hard robotics problems and unlock embodied intelligence.

We are seeking a Software/Research Engineer to build the learning systems powering our next generation of humanoid robots. You’ll work across loco-manipulation, reinforcement learning, motion retargeting, and real-world deployment, turning new research into reliable capabilities on