System Software Engineer - Autonomous Vehicles

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: mastersSkills: ["Analytical","Communication","Collaboration"]

Develop and maintain system software and essential tools for autonomous driving, integrating end-to-end functionality across sensing, perception, localization, planning, and control. Diagnose and solve complex problems to improve real-world driving performance and ensure stable, safe field deployment. Lead vertical stack performance optimization while working in a senior role on efficient applications using parallel architectures spanning CPU, GPU, DLA, and DSP.

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FursaFursa
NVIDIA
NVIDIA
2 weeks ago

System Software Engineer - Autonomous Vehicles

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 8 months ago

Job Summary

Develop and maintain system software and essential tools for autonomous driving, integrating end-to-end functionality across sensing, perception, localization, planning, and control. Diagnose and solve complex problems to improve real-world driving performance and ensure stable, safe field deployment. Lead vertical stack performance optimization while working in a senior role on efficient applications using parallel architectures spanning CPU, GPU, DLA, and DSP.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and maintain applications and vital tools for autonomous driving.
  • •Integrate and maintain end-to-end software across sensing, perception, localization, planning, and control.
  • •Diagnose and solve complex problems to improve driving experience.
  • •Optimize performance across the vertical stack for autonomous driving systems.
  • •Support stable and safe deployment of software in the field.

Key Requirements

  • •MS or higher in computer science or a related engineering field.
  • •Excellent C and C++ programming.
  • •Experience developing system software in user space with the ability to dig into the kernel and low-level hardware.
  • •Strong understanding of operating systems, threading, synchronization, and parallel computing for efficient application development.
  • •Familiarity with underlying parallel architectures (CPU/GPU/DLA/DSP).
Experience:Autonomous vehiclesRoboticsComputer visionMachine learning
Education:Master's
Skills:AnalyticalCommunicationCollaboration
Tech Stack:CC++CUDAOperating systemsKernelThreadingSynchronizationParallel computingCPUGPUDLADSPReal-time operating systemsAutonomous drivingSensingPerceptionLocalizationPlanningControl

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
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Glassdoor: 4.3
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