Controls & Machine Learning Engineer (Berkeley)

3 weeks ago

Berkeley CA, United States Terranova Full time

Company Description Backed by leading climate and American dynamism investors, Terranova builds intelligent robotic systems to terraform the Earth itself lifting land, restoring wetlands, and protecting critical infrastructure from floods and sea-level rise. Our mission is to preserve the built environment, create new habitats, and usher in an era of abundance. Our work supports climate resilience, disaster recovery, and defense across the United States and beyond. Were assembling a world-class team that wants to work on something real, physical, and civilizationscale. If you want your work to reshape the world (literally), this is the place to do it. Overview Were seeking a controls and ML specialist to develop algorithms that give our robotic systems adaptive, intelligent behavior. Youll design and tune controllers, build dynamic models, and integrate them with perception and sensor data. This is a chance to bridge classical control with modern machine learning to shape how machines move through the Earth. What Youll Do Develop and tune controllers (PID, MPC, optimal/robust control) for dynamic, nonlinear systems. Build and validate physical models for simulation, hardwareintheloop 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 realtime safety and stability. Profile, optimize, and verify performance under latency, jitter, and compute constraints. Useful Stack Familiarity 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. #J-18808-Ljbffr

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