Senior Software Engineer, Test - Autonomous Vehicles

at Nvidia

📍 Santa Clara, United States

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Communication @ 7 Data Analysis @ 4 Machine Learning Python @ 7 Robotics @ 4

Details

The Automotive Vehicles team is seeking a creative and experienced software engineer to help develop and productize NVIDIA's autonomous vehicle solutions. You will work with multifunctional engineering teams across vehicle subsystems to integrate their work into the autonomous vehicle software platform while meeting NVIDIA and automotive standards and guidelines.

The role focuses on building robust and scalable simulation infrastructure to test and validate self-driving technology over millions of virtual miles.

Responsibilities

Design, develop, improve, and maintain metrics and test sets supporting large-scale KPIs and performance measurements for autonomous driving systems.
Collaborate across engineering, infrastructure, test engineering, and release teams to build and scale test solutions that address coverage and framework gaps and mitigate project risks.
Build and improve tools that automate and scale test sets through metrics, data quantity, quality, and diversity, enabling test-driven development across the company.
Mentor and guide junior engineers, promoting technical excellence and collaborative problem-solving.
Identify, troubleshoot, and resolve system-level issues affecting the performance and reliability of KPIs and simulation frameworks.

Requirements

Bachelor's degree or equivalent experience, master's degree, or PhD in an engineering or science field.
Five or more years of software engineering and data analysis experience, preferably in simulation, autonomous systems, robotics, artificial intelligence, or related areas.
Proficiency in Python and a deep understanding of software engineering practices.
Excellent problem-solving, analytical, and technical troubleshooting skills.
Strong communication and collaboration skills.
Demonstrated ability to work effectively in situations involving high ambiguity and competing priorities.
Curiosity and a desire to investigate problems in depth.

Preferred Qualifications

Experience scaling the use of autonomous vehicle simulation frameworks.
Experience with or knowledge of AI/ML systems, or experience working with AI-native systems.
Experience with large-scale simulation for hardware or software validation of robotics solutions.

Compensation and Benefits

Base salary for Level 3: USD 152,000–241,500 per year.
Base salary for Level 4: USD 184,000–287,500 per year.
Eligibility for equity and benefits.
The base salary is determined based on location, experience, and the pay of employees in similar positions.

Applications will be accepted at least until September 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.