Robot AI Engineer for Humanoid Autonomy & Equity

Jobzhr; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Founding team ownership

Hands-on role

Job summary

HUMANX, a San Francisco humanoid startup, seeks a Robot AI Engineer to join the founding team and ship autonomous capabilities for our humanoid. You will train, deploy, observe failures, collect data, and iterate rapidly on real-world tasks with a hands-on approach.

You will work with PyTorch, ROS/ROS2, and cutting-edge perception and policy models, driving sim-to-real pipelines and real robot deployment. Equity and ownership accompany this pivotal role.

Qualifications

• Strong experience in robot learning, manipulation, imitation learning, RL, or sim-to-real.
• Hands-on experience with PyTorch, transformers, multimodal/VLA models, or diffusion policies.
• Experience with RGB-D, 3D vision, point clouds, detection, segmentation, tracking, or pose estimation.
• Comfortable with Python/C++, Linux, ROS/ROS2, GPU computing, and real robot deployment.
• Ability to take models from training → simulation → physical robot → failure analysis → retraining.
• Ability to move quickly, experiment, and make good engineering tradeoffs with incomplete information.
• Strong ownership mentality and excitement about building difficult AI and robotics systems from scratch.

Responsibilities

• Develop learning-based policies for dexterous and bimanual manipulation.
• Build perception systems using RGB-D, 3D vision, segmentation, and pose estimation.
• Train policies using imitation learning, RL, diffusion policies, and human demonstrations.
• Adapt and deploy VLA and robotics foundation models on physical humanoids.
• Build simulation and synthetic-data pipelines with Isaac Sim, Isaac Lab, GR00T, Cosmos.
• Develop teleoperation and real-world data collection systems.
• Work on sim-to-real transfer, domain randomization, and policy generalization.
• Integrate learned policies with motion planning and whole-body control.
• Optimize neural policies for real-time deployment on robot hardware.
• Turn real-world failures into better training data and models.

Skills

Robot learning

Manipulation

Imitation learning

Reinforcement learning

Sim-to-real

Python/C++

Tools

PyTorch

ROS/ROS2

CUDA

TensorRT

Transformers

Job description

HUMANX, a San Francisco humanoid startup, seeks a Robot AI Engineer to join the founding team and ship autonomous capabilities for our humanoid. You will train, deploy, observe failures, collect data, and iterate rapidly on real-world tasks with a hands-on approach.

You will work with PyTorch, ROS/ROS2, and cutting-edge perception and policy models, driving sim-to-real pipelines and real robot deployment. Equity and ownership accompany this pivotal role.