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- 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.
What You Bring- BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Engineering, or a 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 comfortably between research experimentation and production-quality engineering.
What Will Set You Apart- Hands-on experience with humanoid robots.
- Experience with whole-body loco-manipulation.
- Experience with GPU-accelerated simulation frameworks such as NVIDIA Isaac Sim, Isaac Lab, and/or Newton.
- Experience with motion retargeting.
- Experience taking learned robot behaviors from simulation to real hardware.
- Experience building scalable RL training, evaluation, and/or automated robot-testing infrastructure.
$120,000 - $220,000 a year
