Terranova · 2 weeks ago
Robotics Engineer, Controls
Terranova is a company focused on building intelligent robotic systems to support climate resilience and disaster recovery. They are looking for a robot controls and machine learning specialist to develop algorithms that enhance the adaptive behavior of their robotic systems.
Artificial Intelligence (AI)ConstructionHardwareRobotics
Responsibilities
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, including long days, 6-day workweeks, and extended field hours
Qualification
Required
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, including long days, 6-day workweeks, and extended field hours
Bachelor's degree or higher in Computer Science or related field
U.S. permanent residency required
Preferred
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 are a huge bonus
Company
Terranova
Terranova uses terraforming robots to lift land using underground injection.
Funding
Current Stage
Early StageTotal Funding
$7M2025-09-10Seed· $7M
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