NVIDIA Logo

NVIDIA

Senior Software Engineer, Test - Autonomous Vehicles

Posted Yesterday
In-Office or Remote
4 Locations
152K-288K Annually
Senior level
In-Office or Remote
4 Locations
152K-288K Annually
Senior level
Develop and scale simulation infrastructure for autonomous vehicle testing and validation across millions of virtual miles. Build metrics, test sets, and automation for KPI measurement, coverage, data quality, and performance. Collaborate with engineering, infrastructure, test, and release teams to resolve system-level issues and improve reliability. Mentor junior engineers and promote test-driven development. The role focuses on autonomous systems simulation, software engineering, data analysis, and large-scale validation.
The summary above was generated by AI

The Automotive Vehicles team is searching for a creative and experienced Software Engineer to help us bring NVIDIA's autonomous vehicle solution out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant. We have deadlines, customers, and competition.

We are at the forefront of technology, transforming the future of transportation through our commitment to developing self-driving vehicles. As a senior software engineer, your primary role will be to build robust and scalable simulation infrastructure that will enable us to test and validate our self-driving technology over millions of virtual miles.

What you will be doing:

  • Design, develop, improve and maintain metrics and test sets that support large-scale KPIs and performance measurements for autonomous driving systems.

  • Collaborate across engineering, infrastructure, test engineering, and release to build and scale test solutions that address gaps in coverage and frameworks and mitigate risks to the project.

  • Build and drive improvements to tools that automate and scale test sets through metrics, data quantity, quality, and diversity, enabling a culture of test-driven development across the company.

  • Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.

  • Identify, troubleshoot, and resolve system-level issues that affect the performance and reliability of our KPIs and simulation frameworks.

What we need to see:

  • BS (or equivalent experience), MS, or PhD in Engineering or Science field.

  • 5+ years of software engineering and data analysis experience, preferably in the field of simulation, autonomous systems, robotics, artificial intelligence or related areas.

  • Proficiency in Python and a deep understanding of software engineering practices.

  • Excellent problem-solving, analytical skills, and technical troubleshooting skills.

  • Strong communication and collaboration skills.

  • Demonstrated ability to perform in situations with high ambiguity and competing priorities.

  • Curiosity and a desire to “get into the weeds” of a problem

Ways to stand out from the crowd:

  • Background with scaling the use of autonomous vehicles simulation frameworks.

  • Experience with or knowledge of AI/ML systems, or a background in working with AI-native systems

  • Experience in large-scale simulation for hardware or software validation of any robotics solution.

#Autonomous Vehicles

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 25, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning
HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

45 Minutes Ago
Easy Apply
Remote or Hybrid
US
Easy Apply
110K-160K Annually
Senior level
110K-160K Annually
Senior level
Enterprise Web • Hardware • Internet of Things • Software
Provides strategic and tactical technical guidance to customers using Tulip’s no-code manufacturing platform. Responsibilities include developing technical success plans, advising on architecture and integrations, leading workshops and training, supporting implementations, driving platform adoption, establishing governance, communicating customer requirements to Product and Engineering, and supporting renewals and expansion. The role requires strong manufacturing, MES, Industry 4.0, SaaS, cloud, API, database, and customer-facing technical expertise.
Top Skills: AIAPIsCloudDatabase SystemsIiotLow-Code PlatformsMesNo-Code PlatformsSaaSTulip
An Hour Ago
Remote or Hybrid
United States
114K-150K Annually
Expert/Leader
114K-150K Annually
Expert/Leader
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Manages large, complex programs across multiple projects and teams, overseeing governance, budgets, risks, resources, suppliers, communications, and stakeholder relationships. Leads cross-functional teams, coordinates project interdependencies, develops business cases and financial measures, and drives process improvements. Evaluates AI, automation, and digital technologies to improve productivity and decision-making. The role requires extensive project management experience, strategic planning, organizational change management, and executive-level communication.
Top Skills: AgileArtificial IntelligencePmp
An Hour Ago
Remote or Hybrid
United States
20-25 Hourly
Internship
20-25 Hourly
Internship
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Supports AI safety, robotics, cybersecurity, Physical AI, and advanced mobility projects. Conducts research on standards, regulations, and emerging technologies; assists with safety assurance and consulting activities; develops reports, presentations, workshops, and client deliverables; and contributes to AI safety, cybersecurity, robotics, and technology capabilities.
Top Skills: Ai/Ml FrameworksGitGitlabMatlab/SimulinkPythonRobotics Tools

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account