> Markdown version of [/jobs/ext/4603887-senior-motion-planning-software-engineer](https://www.wearedevelopers.com/jobs/ext/4603887-senior-motion-planning-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Motion Planning Software Engineer - **Company:** Zipline - **Location:** Ann Arbor, MI, United States - **Experience:** Expert - **Salary:** $190,000 - $230,000 - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Convex Optimization, Linux, Fault Tolerance, Motion Planning, Software Construction, Safety Critical Systems, Information Technology - **Published:** November 6, 2026 - **Apply:** https://www.adzuna.com/details/5801116193 ## About the Role * Master's degree in Computer Science or related field and 3+ years of experience building software for safety-critical systems (aerospace/AV/robotics). * Strong in Rust/C++/C for real-time, fault-tolerant code on embedded/Linux. * Depth in planning & search (e.g. A*/ anytime / RRT*/sampling), trajectory optimization/MPC-shipped on real robots/vehicles. * Hands-on with simulation at scale, SIL/HIL, log replay, and metrics-driven validation. * Evidence of shipping production-grade autonomy through ambiguous, noisy conditions-owning the last mile to reliability. * Systems thinker who collaborates tightly with perception, controls, and flight ops; crisp docs and design reviews. ## Description * Build real-time trajectory generation and decision-making for autonomous flight (search-based, sampling, MPC, convex/non-convex optimization). * Tackle joint optimization across safety, energy, time, and reliability-balancing mission goals with vehicle constraints. * Plan in uncertain environments with complex dynamics: robustness to wind/turbulence, degraded sensors, and partial observability. * Design safety-critical software for avoiding obstacles and interfacing with humans while delivering and picking up packages * Extend the autonomy stack for new aircraft and payloads; define clean interfaces with perception and controls. * Prove it before flight: large-scale sim, SIL/HIL, log replay, and fault-injection. * Mine real fleet data to validate safety metrics, improve models, and burn down long-tail failure modes.