Senior Software Engineer, Longitudinal Planning – Autonomous Vehicles

NVIDIA
Beijing, Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Analytical","Problem-solving","English communication"]

Develop and optimize longitudinal planning algorithms for production autonomous vehicles, covering car-following, stopping, yielding, merging, cut-in handling, and intersections. Improve speed generation/adaptation, yield planning, and trajectory planning to enhance safety, comfort, efficiency, and robustness across diverse traffic, roads, and vehicle platforms. Perform deep issue analysis from L2–L4 using simulation, replay tools, vehicle logs, and diagnostics, and support integration, validation, release readiness, and testing with global teams and OEM partners.

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FursaFursa
NVIDIA
NVIDIA
2 hours ago

Senior Software Engineer, Longitudinal Planning – Autonomous Vehicles

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Develop and optimize longitudinal planning algorithms for production autonomous vehicles, covering car-following, stopping, yielding, merging, cut-in handling, and intersections. Improve speed generation/adaptation, yield planning, and trajectory planning to enhance safety, comfort, efficiency, and robustness across diverse traffic, roads, and vehicle platforms. Perform deep issue analysis from L2–L4 using simulation, replay tools, vehicle logs, and diagnostics, and support integration, validation, release readiness, and testing with global teams and OEM partners.
Location: Beijing, Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and optimize longitudinal planning algorithms for car following, stopping, yielding, merging, cut-in handling, intersections, and complex driving scenarios.
  • •Develop and improve speed generation, speed adaptation, yield planning, and trajectory planning.
  • •Improve driving safety, comfort, efficiency, and robustness across different traffic conditions, road environments, and vehicle platforms.
  • •Analyze, triage, and resolve Planning & Control issues across autonomous driving programs from L2 through L4 using simulation, replay tools, vehicle logs, and on-vehicle diagnostics.
  • •Conduct on-vehicle testing and performance tuning; collaborate with global teams and OEM partners on software integration, validation, and release readiness.
Travel: Medium travel

Key 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 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.
Experience:3+ yearsAutonomous drivingADASRoboticsProduction software
Education:Bachelor's
Skills:AnalyticalProblem-solvingEnglish communication
Languages:English
Tech Stack:C++PythonSimulationTrajectory planningNumerical optimizationModel predictive controlNVIDIA DriveOSNVIDIA DRIVE AV

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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