Field AI is transforming how robots interact with the real world by building risk-aware, reliable, and field-ready AI systems. The company is looking for a Senior Robotics Engineer to lead the design, implementation, and deployment of advanced control systems and collaborative behaviors for its autonomous vehicle fleet.
Requirements
- Ph.D. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on planning, controls, or multi-agent systems
- Deep expertise in modern control theory, specifically with predictive and sampling-based control methodologies (such as MPC and MPPI), and vehicle dynamics modeling
- Proven experience designing, implementing, and testing multi-agent autonomy behaviors (e.g., convoying, formation control, or heterogeneous fleet coordination)
- Hands-on experience deploying complex control and planning algorithms onto physical robots, rather than just in simulation
- Experience working with large-scale or off-road autonomous vehicles operating in unstructured, real-world environments
Benefits
- 401k Matching
- Retirement Plan
- Tuition Reimbursement
- Relocation Assistance