Senior Autonomous Driving Systems Architect

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking engineers to architect and build the next generation of self-driving vehicle technology in a dynamic AI-enabled environment. The role covers prediction, planning, control, and integration with classical safety stacks, requiring deep expertise in system architecture and end-to-end data-driven AV pipelines.

You will contribute to world-model planning, large-scale model inference, and the integration of cutting-edge robotics research into production AV software, with emphasis on

Qualifications

• PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in CS/CE or 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.

Responsibilities

• Compose and build the architecture behind next-generation self-driving vehicle technology.
• Work on Prediction, Decision, Planning and Control architecture.
• 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.
• Engage with large-scale model inference architecture.
• Contribute to integration of innovative robotics research into AV technologies.
• Deep knowledge of end-to-end AV software integration from perception through control, including dependencies, interface management, and performance tuning.

Skills

CUDA

Education

PhD with 4+ years

MS with 6+ years

BS with 8+ years experience

Job description

NVIDIA is seeking engineers to architect and build the next generation of self-driving vehicle technology in a dynamic AI-enabled environment. The role covers prediction, planning, control, and integration with classical safety stacks, requiring deep expertise in system architecture and end-to-end data-driven AV pipelines.

You will contribute to world-model planning, large-scale model inference, and the integration of cutting-edge robotics research into production AV software, with emphasis on