AI Resident
RoboForceVisit RoboForce website
RoboForce is a Milpitas, California robotics company building Physical AI-powered industrial robotic labor systems.
Milpitas, United States
Funding history
About RoboForce
RoboForce develops the TITAN general-purpose AI robot and related robot foundation-model stack for demanding industrial work, including solar, data centers, shipping, mining, and manufacturing.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will conduct research and build systems for embodied physical intelligence. You will develop and evaluate VLA, World Model, World Action Model, simulation, and reinforcement learning methods; run robotics experiments; build training and evaluation pipelines; and help move prototypes to real or simulated robot platforms.
Requirements
- Be a PhD student, recent graduate, or early-career researcher or engineer in computer science, robotics, machine learning, electrical engineering, or a related field
- Have experience with PyTorch, JAX, or TensorFlow
- Have experience using AI-assisted coding tools and agentic development workflows
- Implement, debug, and evaluate research ideas
- Validate, refine, and productionize AI-assisted code
- Have hands-on experience in robotic manipulation, mobile manipulation, or industrial robotics
- Have experience training, fine-tuning, or evaluating multimodal or embodied models
- Have experience with World Models, action-conditioned prediction, model-based learning, planning, or control
- Have experience with simulation platforms such as Isaac Gym, Isaac Sim, MuJoCo, ManiSkill, or Habitat
- Have experience with reinforcement learning, imitation learning, or post-training for robotic policies
- Have experience with real robot hardware, data collection systems, evaluation workflows, or deployment pipelines
- Demonstrate technical initiative through research, open-source contributions, or high-impact engineering work
Responsibilities
- Conduct research and build systems for embodied physical intelligence
- Develop and evaluate methods in VLA, World Models, World Action Models, simulation, and reinforcement learning
- Design and run robotics experiments involving perception, planning, control, and long-horizon behavior
- Build training and evaluation pipelines for large-scale embodied learning systems
- Move ideas from prototypes to real or simulated robot platforms
- Explore multimodal foundation models for real-world robot deployment
- Contribute to technical reports, research discussions, and publications where appropriate
Benefits
- Company-provided lunch and dinner
- Fully stocked kitchen
- Team events
- Company-covered premium fitness center membership