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# Senior Software Engineer, L4 - Autonomous Vehicles

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Nvidia CUDA, Computer Engineering, Performance Tuning, Software Engineering, Systems Architecture, Systems Integration, Graphics Processing Unit (GPU), Information Technology, Machine Learning Operations
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-l4-autonomous-vehicles-santa-clara-ca--06cad22a-b3e6-417f-87a0-84285f1ba3b9

## About the Role

Software Engineering, Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Audiovisual, Neural Networks, Robotics, Systems Scalability, Vehicle Driving, Performance Tuning/Optimization, * 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.

Ways To Stand Out From The Crowd:

 * PhD in a relevant field or related research experience
 * Knowledge of CUDA is a plus

## Description

* You will 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
 * Have the exposure to engage with Large-scale model inference architecture
 * Contribute to the integration of innovative research in robotics into our self-driving vehicle technologies.
 * Deep knowledge of E2E AV software integration from perception through control, including dependencies, interface management, and performance tuning.