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linux python machine learning real-time convex optimizationπ Description
- Lead and scale a high-impact trajectory planning team with vision and strategy.
- Drive launch readiness by improving on-road behavior across the fleet.
- Apply metrics-driven framework to quantify on-road performance and ensure production delivery.
- Ensure real-time performance and latency budgets for trajectory generation.
- Lead triage and RCA of fleet incidents, translating edge cases into algorithm refinements.
- Align roadmaps with autonomy milestones and coordinate with PMs for delivery.
π― Requirements
- 2+ years leading high-performing engineering teams.
- Delivery of production-quality trajectory algorithms.
- Strategic vision for a balanced technical roadmap and 2026 launch.
- Deep expertise in numerical optimization: MPC, nonlinear programming.
- Advanced motion planning under uncertainty; ML is a plus.
- Production-grade C++ on Linux; real-time, safety-critical code.
π Benefits
- Hybrid work option with in-office Boston, Pittsburgh, or Las Vegas, or remote.
- Medical, dental, vision, 401k match, HSA, life insurance.
- Pet insurance and additional benefits.
- Diverse, inclusive culture and career growth.
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