NGNick Goberville
@nickgoberville
Ph.D. research and software engineer specializing in embedded perception, sensor fusion, and real-time ML deployment.
United StatesWhat I'm looking for
I am a Ph.D.-trained research and software engineer with 7+ years building end-to-end perception pipelines for autonomous systems, blending deep theory with production software rigor.
At Argonne National Laboratory I led perception and sensor-fusion architecture for a $6M DOE program, architected ROS 2-based replay systems, and engineered VIL interfaces and low-latency drivers for heterogeneous fleets.
As Co-Founder and Lead Perception Engineer at Revision Autonomy I launched ML products, optimized semantic segmentation for Jetson deployment, and secured $250k+ in funding by demonstrating camera-only navigation in degraded environments.
My work emphasizes scalable data and validation pipelines — automated ground-truth generation for thousands of highway miles, simulation-to-real RL deployments, HD mapping with RTK accuracy, and measurable gains in annotation, inference speed, and field performance.
Experience
Work history, roles, and key accomplishments
ALConnected & Automated Vehicle Research Engineer
Jan 2022 - Present (3 years 11 months)
Led technical architecture for a $6M DOE CAV program, defined sensor-fusion standards across 13 teams, and architected a ROS 2-based replay system (LARS) achieving <0.15 m/s MAE for deterministic path replay; implemented UDP drivers enabling 0% packet loss at 100Hz for VIL integration.
Co-Founder & Lead Perception Engineer
Revision Autonomy LLC
Nov 2019 - Jan 2022 (2 years 2 months)
Led full-stack perception product development, secured $250K funding, deployed optimized semantic segmentation on NVIDIA Jetson Nano (83.2% mIoU at 100+ FPS) and built MLOps pipelines for a 15k+ image dataset to enable camera-only navigation in degraded conditions.
WUDeveloped sim-to-real RL deployments for vehicle lateral control achieving 92% trajectory adherence, generated HD lane-level maps with <10 cm global accuracy over 140 miles, and accelerated RL training loops via Numba to reduce iteration time 15x.
Education
Degrees, certifications, and relevant coursework
WUWestern Michigan University
Doctor of Philosophy, Mechanical Engineering
Completed a Ph.D. in Mechanical Engineering with a dissertation on enabling automated driving systems for snow-covered roads.
WUWestern Michigan University
Bachelor of Science, Mechanical Engineering
Grade: Cum Laude
Activities and societies: Tau Beta Pi
Earned a Bachelor of Science in Mechanical Engineering with a minor in Mathematics; graduated Cum Laude and inducted into Tau Beta Pi.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
Interested in hiring Nick?
You can contact Nick and 90k+ other talented remote workers on Himalayas.
Message NickFind your dream job
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
