Senior Software Engineer, Planning and Control Integration - Autonomous Vehicles

Responsibilities

• Own end-to-end Planning & Control integration across the NVIDIA AV software stack, including module interfaces, data flow, timing, and cross-team integration and validation with perception, localization, and vehicle actuation systems
• Design, develop, and optimize planning and control algorithms for core L2, L2+, and L2++ driving scenarios, and drive their integration into the production software stack
• Perform system integration, carline adaptation, and parameter tuning for planning and control modules across different vehicle platforms - adapting to diverse vehicle dynamics, steering systems, braking characteristics, sensor configurations, and OEM platform requirements
• Build and maintain cross-carline integration validation workflows and comparison tooling to systematically evaluate integration behavior differences across vehicle platforms and accelerate multi-carline integration at scale
• Improve the safety, comfort, feasibility, smoothness, and system-level robustness of the integrated planning and control system across different road geometries, traffic conditions, and vehicle platforms
• Analyze, triage, and resolve cross-module Planning & Control integration and functional issues across multiple autonomous driving programs from L2 through L4
• Perform integration root-cause analysis, bring-up validation, and performance tuning using simulation, replay tools, vehicle logs, on-vehicle diagnostics, and real-world testing, and provide clear resolution proposals
• Collaborate with global teams and OEM partners to drive software integration, validation, release readiness, and production delivery; travel domestically and internationally for on-vehicle integration testing and customer collaboration as needed
• What we need to see
• BS/MS in Computer Science, Electrical Engineering, Robotics, Vehicle Engineering, or a related field

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