Prediction and Planning - Technical Lead
Applied Intuition· Self-Driving Systems
Sunnyvale$200k - $300kFull-timePosted 1mo ago
About the role
Technical leadership and end-to-end system ownership for ML-first behavior prediction and planning. Lead ML-driven trajectory generation, guide architectural decisions, mentor engineers, and collaborate with perception, planning, and research teams to deliver autonomous driving solutions.
Responsibilities
- Lead the technical roadmap, system architecture, and execution for ML algorithms that generate driving trajectories for autonomous vehicles and other road users
- Drive architecture reviews and leverage established products at Applied Intuition to build scalable software and infrastructure foundations for behavior ML development
- Mentor and guide engineers while collaborating with cross-functional leadership, perception, planning, and research teams on state-of-the-art models and techniques
Qualifications
- Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
- Proven track record of technical leadership, including leading complex projects, mentoring engineers, and influencing architectural direction
- Proven track record of shipping production ML software in complex, real-world environments
- Expertise in at least one of: modeling, input pipelines, evaluation, deployment, or model optimization
- Experience with the end-to-end development cycle of deep learning models
- 3+ years of experience building production software using modern software practices
- Fluency in Python with intermediate experience in C++
Skills
Required:Technical leadershipProduction ML softwareDeep learning development
Last updated Oct 11, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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