Senior Software Engineer, L4 - Autonomous Vehicles

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 4+ yearsSkills: ["System-level thinking","Architecture design","Integration","Performance tuning","Problem solving"]

Build and compose the architecture for next-generation self-driving vehicle technology, including prediction, decision, planning and control. Work on classical safety stack exposure, robust system-level safety and fallback strategies, and end-to-end data-driven AV pipelines. Develop world model–based planning and reasoning, engage with large-scale model inference architecture, and integrate robotics research into production self-driving systems with end-to-end software integration from perception through control.

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FursaFursa
NVIDIA
NVIDIA
19 hours ago

Senior Software Engineer, L4 - Autonomous Vehicles

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Build and compose the architecture for next-generation self-driving vehicle technology, including prediction, decision, planning and control. Work on classical safety stack exposure, robust system-level safety and fallback strategies, and end-to-end data-driven AV pipelines. Develop world model–based planning and reasoning, engage with large-scale model inference architecture, and integrate robotics research into production self-driving systems with end-to-end software integration from perception through control.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Compose and build architecture behind next-generation self-driving vehicle technology.
  • •Work on prediction, decision, planning and control architecture.
  • •Contribute to robust system-level safety and fallback strategies with exposure to classical safety stacks.
  • •Develop and work on end-to-end data-driven AV pipelines, including world model–based planning and reasoning.
  • •Integrate robotics research into self-driving vehicle technologies with end-to-end software integration from perception through control, managing interfaces and performance tuning.

Key Requirements

  • •Compose and build self-driving vehicle system architecture (prediction, decision, planning, control) rather than just components.
  • •PhD (4+ years), MS (6+ years), or BS (or equivalent) with 8+ years in Computer Science, Computer Engineering, or a related technical field.
  • •Production experience in autonomous driving systems.
  • •Experience working on AI foundation models or large-scale ML systems and driving end-to-end driving models.
  • •Knowledge and experience in system architecture from 0→1→scale, including end-to-end AV software integration from perception through control.
Experience:4+ yearsAutonomous drivingRoboticsMLMachine learningFoundation models
Education:
Skills:System-level thinkingArchitecture designIntegrationPerformance tuningProblem solving
Tech Stack:CUDADVLA/VA driving modelsClassical safety stackWorld ModelLarge-scale model inference

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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