Engineering Manager, Prediction And Planning - Autonomous Vehicles

Details

NVIDIA’s Autonomous Driving team is building the next generation of AI-based perception, prediction, and planning systems powering the world’s most sophisticated vehicles. This role leads the Prediction & Planning production organization to deliver robust, scalable, and safety-critical software into production, turning autonomy research into reliable, validated, deployable driving intelligence.

Responsibilities

• Lead end-to-end development of the Prediction and Planning stack, including motion prediction, behavior reasoning, trajectory generation, and decision-making.
• Develop and implement production strategy for L2+/L2++ and beyond, ensuring timely delivery of production-grade software aligned with NVIDIA autonomous vehicle advances.
• Establish workflows and metrics for software integration, SIL/HIL validation, scenario coverage, and regression testing in simulation and real-world environments.
• Partner with Perception, Localization, Control, Simulation, and Infrastructure teams to deliver coordinated E2E autonomous driving solutions.
• Build and scale a high-performing global engineering team; mentor technical leads and strengthen interpersonal structures for sustained velocity.
• Guide resource planning, sprint execution, and program reviews to balance innovation, delivery speed, and stability.
• Represent Prediction & Planning in technical and product reviews, driving clarity and accountability across multi-site development.

Requirements

• MS or PhD in Computer Science, Robotics, or related engineering field (or equivalent experience).
• 4+ years leading a team and 8+ years of overall experience in software or robotics engineering, with 5+ years in autonomous driving or motion planning/prediction systems.
• Experience leading production software organizations that deliver sophisticated, multi-module systems to customers or partners.
• Deep understanding of path planning, motion prediction, intent modeling, trajectory optimization or imitation/reinforcement learning for planning, multi-agent reasoning or probabilistic decision-making for L2++/L3 autonomy.
• Proven record of delivering machine learning or planning systems into real-world or high-fidelity simulation environments.
• Strong proficiency in C++, Python, and GPU-based frameworks (PyTorch, TensorRT), and experience with large-scale software development practices.
• Experience with SIL/HIL validation, scenario coverage, regression testing, and simulation-based validation.
• Proven capacity in coordinating complex programs, outlining roadmaps, and managing priorities across distributed teams under tight deadlines.
• Excellent communication and multi-functional leadership skills; comfortable working with engineering, product, and executive collaborators.
• Experience managing geographically distributed teams and establishing consistent engineering standards and delivery practices.

Ways to Stand Out

• Successful track record of leading autonomous driving software releases or feature closure cycles from prototype to mass production.
• Experience with simulation-based validation, scenario management, and data-driven quality tracking frameworks.
• Deep knowledge of E2E AV software integration from perception through control, including interface management and performance tuning.
• Demonstrated ability to build, mentor, and scale technical leaders in a constantly evolving organization.
• Passion for delivering impact in autonomous driving technology.

Compensation & Benefits

• Base salary range: 224,000 USD - 356,500 USD (final base determined by location, experience, and comparable pay).
• Eligible for equity and NVIDIA benefits.

Company & Equal Opportunity

NVIDIA is a leading technology company focused on AI, autonomous systems, and high-performance computing. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.