Senior Software Engineer - Longitudinal Planning for Autonomous Vehicles

We are seeking a hands-on senior software engineer to join the NVIDIA China Autonomous Driving Team. You will develop and improve longitudinal planning for production autonomous vehicles, focusing on key planning capabilities such as speed generation, speed adaptation, yield planning, and trajectory planning.

Responsibilities:

• Design, develop, and optimize longitudinal planning algorithms for various driving scenarios, including car following, stopping, yielding, merging, and cut-in handling
• Develop and improve speed generation, speed adaptation, yield planning, and trajectory planning
• Enhance driving safety, comfort, efficiency, and robustness across different traffic conditions, road environments, and vehicle platforms
• Adapt algorithms and tune parameters for different vehicle dynamics, powertrains, braking systems, actuator delays, and OEM requirements
• Analyze, triage, and resolve complex Planning & Control issues across multiple autonomous driving programs
• Perform root-cause analysis using simulation, replay tools, vehicle logs, and on-vehicle diagnostics
• Conduct on-vehicle testing and performance tuning to validate driving behavior in real-world scenarios
• Collaborate with global teams and OEM partners on software integration, validation, and release readiness
• Travel domestically and internationally for vehicle testing and customer collaboration as needed

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Robotics, Vehicle Engineering, or a related field
• 3+ years of autonomous driving, ADAS, or robotics software development experience, with strong C++ and Python skills
• Solid knowledge of speed planning, trajectory planning, vehicle dynamics, motion prediction, or numerical optimization
• Experience with production software development, simulation, log analysis, on-vehicle debugging, and parameter tuning
• Strong analytical, problem-solving, and English communication skills

Preferred Qualifications:

• Production experience developing longitudinal planning algorithms
• Expertise in speed-profile optimization, space-time planning, model predictive control, or constrained numerical optimization
• Experience handling interactive scenarios such as yielding, merging, cut-ins, intersections, and vulnerable road users
• Knowledge of functional safety or autonomous driving validation standards
• Familiarity with NVIDIA DriveOS, NVIDIA DRIVE AV, or direct OEM collaboration