NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.
The DRIVE OS Team is searching for a hands-on Systems and Software Platform Engineer to develop innovative solutions for the world of transportation and the growing field of self-driving cars. This role works across software, hardware, safety, and product teams to develop, integrate, and improve capabilities within NVIDIA’s autonomous driving DRIVE OS software platform.
What you’ll be doing:
Collaborate with software, hardware, safety, and product management teams to translate product requirements into system requirements, software architectures, and technical designs
Design and develop solutions for vehicle interface abstraction, vehicle network topology and infrastructure, data flow, time synchronization, and other system-level capabilities
Develop, document, implement, and optimize software architectures and frameworks for real-world performance while meeting product and customer requirements
Design, develop, deploy, and improve AI agents and AI-assisted workflows that automate engineering tasks such as software development, system analysis, testing, debugging, documentation, data analysis, and developer productivity
Identify opportunities to apply generative AI and agentic workflows to improve engineering efficiency, software quality, and development processes
Debug complex system-level issues spanning software, operating systems, networking, middleware, and hardware interfaces
Collaborate across engineering teams to integrate, test, and deliver robust software capabilities on the DRIVE OS platform
What we need to see:
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related engineering field, or equivalent experience
5+ years of relevant software or systems engineering experience
Strong C and C++ programming skills, with experience designing, developing, integrating, and debugging complex software systems
Experience with Linux, QNX, Android, or other embedded or real-time operating systems, including software that spans hardware, operating system, middleware, and application layers
Experience developing or integrating AI-powered tools, AI agents, or automation into software engineering workflows
Familiarity with modern AI development tools, APIs, scripting languages, and frameworks used to build and deploy agent-based automation
Ability to work independently and collaborate effectively with multi-functional engineering teams in a dynamic development environment
Strong written and verbal communication skills with the ability to clearly communicate technical concepts and engineering decisions
Ways to stand out from the crowd:
Knowledge of automotive systems, including ADAS, autonomous driving, vehicle electrical architectures, and automotive communication networks
Experience with embedded systems, software/hardware integration, and software development on the QNX operating system
Experience applying generative AI, large language models, or agentic AI systems to software engineering, system debugging, testing, or developer productivity
Experience building AI agents that interact with engineering tools, source repositories, CI/CD systems, test infrastructure, or technical documentation
Experience with Python or other scripting languages for engineering automation and AI development
NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify human creativity and intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative, autonomous, and love a challenge, we would love to hear from you.
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.You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, a related engineering field, or equivalent experience
- 5+ years of relevant software or systems engineering experience
- Strong C and C++ programming skills, including designing, developing, integrating, and debugging complex software systems
- Experience with Linux, QNX, Android, or other embedded or real-time operating systems
- Experience with software spanning hardware, operating system, middleware, and application layers
- Experience developing or integrating AI-powered tools, AI agents, or automation into software engineering workflows
- Familiarity with modern AI development tools, APIs, scripting languages, and agent-based automation frameworks
- Ability to work independently and collaborate with multifunctional engineering teams
- Strong written and verbal communication skills for explaining technical concepts and engineering decisions
- Knowledge of automotive systems, ADAS, autonomous driving, vehicle electrical architectures, and automotive communication networks
- Experience with embedded systems, software/hardware integration, and QNX software development
- Experience applying generative AI, large language models, or agentic AI to software engineering, debugging, testing, or developer productivity
- Experience building AI agents that interact with engineering tools, source repositories, CI/CD systems, test infrastructure, or technical documentation
- Experience with Python or other scripting languages for engineering automation and AI development
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
