Nolan Wagener
Senior Software Engineer at Overland AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNolan Wagener is a Senior Software Engineer and robotics PhD based in Seattle with eight years of experience building control systems and ML-driven navigation for real-world robots. He led the development of a control stack for the DARPA RACER project at the University of Washington and now applies that hands-on research-to-product expertise at Overland AI. Nolan’s background spans simulation and hardware—writing low-level control for PR2/Baxter, researching RL and transformer-based human motion completion at Microsoft, and combining controls with learning during his Georgia Tech PhD. He blends rigorous academic training with production-focused engineering, favoring robust control architectures that generalize from MuJoCo to messy field conditions. An unassuming detail: his career repeatedly bridges mentorship from top robotics groups (Sergey Levine, Pieter Abbeel) into deployable systems for autonomy.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at Georgia Institute of TechnologyBachelor of Science (BS), Electrical Engineering and Computer Science, Mechanical Engineering, Bachelor of Science (BS), Electrical Engineering and Computer Science, Mechanical Engineering at UC Berkeley
Github Skills (43)
gazebosim10
occupancy-grid-map10
ignition10
mocap10
motion-capture10
mujoco10
yarp10
gazebo-simulator10
reinforcement-learning9
simulation9
reinforcement-learning-environments9
ros9
deep-learning8
physics8
machine-learning8
Programming languages (3)
Github contributions (5)
mhauskn/dm_control
May 2021 - Feb 2022
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Contributions:2 reviews, 8 PRs, 150 pushes in 8 months
physicssoftware-stackreinforcement-learningsimulationphysics-based-simulation
microsoft/MoCapAct
Jun 2022 - Dec 2022
A Multi-Task Dataset for Simulated Humanoid Control
Contributions:37 commits, 3 PRs, 53 pushes in 6 months
multi-tasklocomotionreinforcement-learningdatasetmujoco
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