Research Software Engineer: Robotics & Real-World Deployment

FieldAI; Boston (MA); Hybrid; USD 120,000 - 220,000; Full time

Job summary

FieldAI is seeking a Software/Research Engineer to build learning systems that power humanoid robots. You will work across whole-body loco-manipulation, RL, motion retargeting, and real-world deployment, turning new research into reliable capabilities on physical humanoids.

This is a hands-on role that closes the loop between research, simulation, and robots operating in the real world, collaborating with researchers and engineers across perception, learning, simulation, and hardware.

Qualifications

• 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 comfortably 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 robot-executable behaviors.
• Reduce the sim-to-real gap by improving simulation fidelity and calibrating simulators with real data.
• Build automated evaluation and validation systems to move policies from simulation to hardware.
• Improve the performance and scalability of our robot-learning infrastructure.
• Collaborate with researchers and engineers across perception, learning, simulation, and hardware.

Skills

Reinforcement learning

Imitation learning

Generative models

Robotics fundamentals

Research-to-prod

Education

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

Tools

NVIDIA Isaac Sim

NVIDIA Isaac Lab

Newton

Job description

FieldAI is seeking a Software/Research Engineer to build learning systems that power humanoid robots. You will work across whole-body loco-manipulation, RL, motion retargeting, and real-world deployment, turning new research into reliable capabilities on physical humanoids.

This is a hands-on role that closes the loop between research, simulation, and robots operating in the real world, collaborating with researchers and engineers across perception, learning, simulation, and hardware.