Senior Software Engineer, L4, Autonomous Vehicles

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 13 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k

This role $236k

$155k most similar roles pay here $302k

This role pays more than 70% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, L4, Autonomous Vehicles

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As a Senior Software Engineer, L4 - Autonomous Vehicles, you will join the Autonomous Driving division to build the architecture behind next-generation self-driving vehicle technology. You will work on Prediction, Decision, Planning, and Control architecture while developing robust system-level safety and fallback strategies. Your daily responsibilities include building end-to-end data-driven AV pipelines, creating World Model-based planning and reasoning models, and integrating innovative robotics research into production platforms. The role requires deep knowledge of end-to-end software integration from perception through control, including interface management and performance tuning. You will utilize skills in large-scale model inference architecture, CUDA, and experience with AI foundation models or large-scale ML systems. This position focuses on the technical challenge of integrating classical safety stacks with large-scale AI-driven systems to create a unified production platform for autonomous vehicles.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

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Skills

Autonomous Driving AI Foundation Models Robotics CUDA System Architecture Large-scale ML Systems Prediction Decision Planning Control Performance Tuning Embodied AI High-Performance Computing

What you'll do

Compose and build the architecture for next-generation self-driving vehicle technology.
Develop Prediction, Decision, Planning, and Control architectures for autonomous vehicles.
Build robust system-level safety and fallback strategies within a classical safety stack.
Develop end-to-end data-driven autonomous vehicle pipelines.
Create World Model-based planning and reasoning models.
Manage large-scale model inference architecture and integrate innovative robotics research into production systems.
Perform end-to-end software integration from perception through control, including performance tuning and interface management.

What we're looking for

A PhD with 4+ years of experience, an MS with 6+ years, or a BS with 8+ years of relevant experience in Computer Science or Engineering.
Production experience in autonomous driving systems.
Experience working on AI foundation models or large-scale ML systems.
Experience developing end-to-end driving models and robotics or embodied AI systems.
Knowledge and experience in system architecture from 0 to 1 to scale.
Deep knowledge of E2E AV software integration from perception through control, including interface management and performance tuning.
Familiarity with classical safety stacks and building robust system-level safety and fallback strategies.
Knowledge of CUDA is preferred.

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