RoboForce
AI Resident
Milpitas, CA +1 · Full-time · Posted Oct 20, 2026
- Location
- Milpitas, CA
Milpitas, California, United States - Experience
- No specific number of years stated; requires a PhD student, recent graduate, or early-career researcher/engineer.
- Education
- Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field; PhD student, recent graduate, or early-career researcher/engineer.
About the job
Conduct research and build embodied AI systems for robots, developing and evaluating learning methods and moving them from simulation or prototypes toward real-world deployment.
What you'll do
- Develop and evaluate methods for VLA models, World Models, simulation, and reinforcement learning.
- Design and run robotics experiments and build training and evaluation pipelines.
- Collaborate with research and engineering teams to test and deploy systems on real or simulated robots.
What they ask for
- Be a PhD student, recent graduate, or early-career researcher/engineer in a relevant field.
- Have experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow.
- Have experience using AI-assisted coding tools and agentic development workflows.
- Be able to implement, debug, and evaluate research ideas, with sound judgment to validate and refine AI-assisted code.
Nice to have
- Hands-on experience in robotic manipulation, mobile manipulation, or industrial robotics.
- Experience with multimodal or embodied models, simulation platforms, robot hardware, or robotic learning and deployment.
Pay
$10,000 monthly salary (base salary)
Tools
PyTorch, JAX, TensorFlow, Isaac Gym, Isaac Sim, MuJoCo, ManiSkill, Habitat
AI focus
Research and development of embodied physical intelligence for robotics, including VLA models, World Models, World Action Models, simulation and sim-to-real transfer, reinforcement learning, multimodal learning, and deployment on physical robots.
Model-written summary · the original posting is authoritative