Controls/Robotics Intern

The role

You will develop algorithms that give robotic systems adaptive, intelligent behavior. You will design and tune controllers, build dynamic models, and integrate them with perception and sensor data.

What you will do

• Develop and tune controllers (PID, MPC, optimal/robust control) for dynamic, nonlinear systems
• Build and validate physical models for simulation, hardware-in-the-loop testing, and autonomy
• Train and deploy ML models for perception, planning, or adaptive control (supervised or RL)
• Integrate algorithms with firmware and cloud teams, ensuring real-time safety and stability
• Profile, optimize, and verify performance under latency, jitter, and compute constraints
• Comfortable with the pace and intensity of early-stage startup life

Required qualifications

• Working towards a bachelor’s degree or higher in Computer Science, Robotics or related field
• U.S. permanent residency required

Nice to have

• Lots of hobby/personal projects and evidence of being a maker
• LiDAR integration and use
• Python/C++ with PyTorch/JAX
• MPC/OSQP/CasADi
• EKF/UKF/factor graphs
• System ID, RL (PPO/SAC) with safety shields
• ROS2, ONNX/TensorRT
• Latency and jitter profiling
• PCB and embedded systems design skills

Benefits

• relocation
• company perks

About the company

Terranova builds intelligent robotic systems to terraform the Earth itself - lifting land, restoring wetlands, and protecting critical infrastructure from floods and sea-level rise.