$115K – $170K/yr
Research / Software Engineer - Humanoid Whole Body Learning
Role overview
Job description
-
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.
-
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.
-
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.
About this listing
- Source: FieldAI's official careers site (via Lever) · last confirmed on the source 27 Oct 2026
- Posted 29 Sept 2026
Jobiba does not charge job seekers. Never pay to apply or share OTPs, card or bank details.
What they are looking for
Skills & requirements
Qualification
BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Engineering, or a related field, or equivalent experience
Department · Engineering
Hiring company
FieldAI
FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.
Related opportunities
Similar active roles
Relevant, currently active roles for this market.
$120K – $180K/yr
$100K – $240K/yr
$125K – $170K/yr
$110K – $140K/yr
🔔 Get job alerts
New Research jobs in Boston, Massachusetts, United States, straight to your inbox.
No spam · Unsubscribe anytime