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python machine learning convex optimization trajectory planning model predictive control📋 Description
- Lead and scale a trajectory planning team, defining vision and strategy.
- Drive launch readiness by improving on-road behavior across the fleet.
- Apply metrics-driven framework to quantify on-road performance.
- Ensure real-time performance and latency budgets for trajectory generation.
- Triage incidents and translate edge cases into algorithm refinements.
- Align multi-team initiatives from design through deployment.
🎯 Requirements
- Proven Engineering Leadership: 2+ years leading high-performing teams.
- Production-quality trajectory algorithms in high-stakes environments.
- Strategic vision for a balanced technical roadmap and 2026 launch.
- Deep expertise in numerical optimization (MPC, nonlinear, convex).
- Advanced motion planning under uncertainty; ML approaches a plus.
- Full-stack robotics context; impact across Perception/Prediction to Control.
- Production-grade C++ in Linux; real-time, safety-critical.
🎁 Benefits
- Hybrid schedule with in-office time at Boston, Pittsburgh, or Las Vegas or fully remote.
- Comprehensive benefits: medical, dental, vision, 401(k) with company match, HSA, life insurance.
- Competitive compensation, potential equity, and benefits during hiring.
- Inclusive, diverse culture focused on scale and impact.
- Opportunity to contribute to commercialization of autonomous vehicle tech.
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