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Senior Software Engineer, L4 - Autonomous Vehicles

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$184k - $287.5kFull-timePosted 3mo ago

About the role

Senior software engineer role focused on building next-generation autonomous driving architecture, integrating classical safety stacks with large-scale AI systems for self-driving vehicles.

Responsibilities

  • Compose and build the architecture behind next-generation self-driving vehicle technology
  • Work on Prediction, Decision, Planning and Control architecture
  • Have exposure to Classical safety stack
  • Build robust system-level safety and fallback strategies
  • Work on End-to-end data-driven AV pipelines
  • Hands on experience in DVLA / VA driving models
  • Develop a World Model–based planning and reasoning model
  • Exposure to engaging with Large-scale model inference architecture
  • Contribute to the integration of innovative research in robotics into self-driving vehicle technologies
  • Deep knowledge of E2E AV software integration from perception through control, including dependencies, interface management, and performance tuning.

Qualifications

  • PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field
  • Production experience in autonomous driving systems
  • Worked on AI foundation models or large-scale ML systems
  • Helped drive End-to-end driving models
  • Experience working on Robotics or embodied AI systems
  • Knowledge and experience in System architecture from 0 → 1 → scale.

Skills

Required:PhD/MS/BS with relevant experienceProduction autonomous driving systemsAI foundation models / large-scale ML systemsEnd-to-end driving modelsRobotics or embodied AI systemsSystem architecture from 0→1→scale
Nice to have:CUDA knowledge

Benefits

  • equity
  • benefits (see NVIDIA benefits)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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