Summary
Stanislav Olekhnovich is a Motion Planning Software Engineer with 11 years of experience building production-grade autonomy and robotics software across startups and large enterprises, currently focused on motion planning at NVIDIA after driving L2/L3 behavior and motion planning at BMW Group. He is a pragmatic C++ systems engineer who reduced a motion-planning component’s runtime fourfold by profiling, parallelizing trajectory generation, and optimizing runtime—work that enabled production deployment. His background spans embedded and cloud systems, mobile SDKs, and backend architecture from roles at Microsoft, IBM and his own startup, giving him a rare mix of product, low-level performance tuning, and integration experience. A Udacity Self-Driving Cars nanodegree graduate with deep familiarity in geometry, kinematics and optimal control, he pairs algorithmic insight with hands-on debugging (perf, gdb) to close gaps between research and road-ready software. Unusually, his career began as a competitive ice hockey player, a competitive-team mindset he still leverages in high-performance engineering teams.
11 years of coding experience
10 years of employment as a software developer
Nanodegree Graduate, Self-Driving Cars Nanodegree, Nanodegree Graduate, Self-Driving Cars Nanodegree at Udacity
Engineer, Computer Science, Engineer, Computer Science at Moscow State Automobile and Road Technical Institute (State Technical University) (MADI)
Ice Hockey Player, Ice Hockey Player at CSKA Youth Hockey School