Senior System Software Engineer - AV Platform

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
101 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $197k
$112k most similar roles pay here $255k

This role pays more than 66% of similar roles. Most pay $142,400–$217,725 — the shaded band above. At the midpoint, this role pays about $197k versus about $180k 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 855 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 843 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior System Software Engineer - AV Platform

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The Autonomous Vehicles Platform team at NVIDIA is hiring a Senior System Software Engineer to lead the development and productization of innovative solutions for autonomous driving platforms. This role involves creating platform test infrastructure and workflows that ensure compliance with industry standards while integrating seamlessly with CI/CD pipelines across various vehicle subsystems. The ideal candidate will have 5+ years of systems software experience, proficiency in C/C++ and Python, and strong debugging skills in complex embedded environments. They should also possess expertise in AI tools, cloud services like Jenkins and Docker, and general-purpose automotive network systems. This position requires excellent communication and collaboration skills to work effectively with cross-functional teams in a multinational setting, driving the integration efficiency of Tegra-based Autonomous Vehicle platforms at scale.

Skills

Python C++ C Docker Jenkins CAN Ethernet CI/CD AI_tools Tegra

What you'll do

  • Lead development of platform test infrastructure for autonomous vehicle systems validation.
  • Drive technical alignment with cross-functional teams to integrate CI/CD workflows.
  • Enhance integration efficiency on Tegra-based Autonomous Vehicle platforms.
  • Debug complex multi-processor embedded environments effectively.
  • Work in a multinational, multi-time-zone environment with excellent communication skills.
  • Utilize AI tools and cloud services for continuous integration and deployment.
  • Possess strong expertise in general-purpose and automotive network systems.

What we're looking for

  • BS or MS in Computer Science/Engineering or 5+ years of relevant experience.
  • Proficient in C/C++, Python, and debugging complex multi-processor environments.
  • Expertise in embedded systems and cross-domain SW/HW knowledge.
  • Strong communication skills for alignment with cross-functional teams.
  • Experience with AI tools, cloud services, Jenkins, Docker, and CI/CD workflows.
  • Knowledge of automotive network systems (Ethernet, CAN).
  • Ability to work effectively in a multinational, multi-time-zone environment.

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