NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s 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 GPU acts 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. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA’s Modular Diagnostics team and lead AI-powered innovation. Our team develops key diagnostic applications and infrastructure to test every NVIDIA GPU. This ensures flawless performance before launch. As part of the Senior Software Engineer, AI Infrastructure Solutions team you will build intelligent automation. This automation speeds up critical engineering workflows and improves GPU validation speed and quality.
- Build and deliver agentic AI solutions—autonomous systems that reason, plan, and take actions. These automate silicon bring-up, test and validation frameworks, debugging, and engineering workflows to speed up GPU launches.
- Build scalable AI infrastructure, services, APIs, and reusable platforms that enable teams across NVIDIA to develop and deploy AI-powered applications.
- Integrate AI agents with engineering tools, knowledge bases, data platforms, and existing business processes to build end-to-end intelligent workflows.
- Partner with multi-functional teams across Modular Diagnostics and adjacent organizations to identify high-impact use cases, define requirements, develop prototypes, and deploy production-ready solutions.
- Establish evaluation, observability, security, and reliability practices for AI systems to ensure solutions perform at scale and meet enterprise standards.
- Drive projects from concept through adoption, measure their impact against clear success criteria, and continuously improve their efficiency.
What we need to see:
- BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- 5+ years delivering production software, infrastructure, platform, or AI solutions.
- Strong programming skills in Python and C/C++.
- Track record of building applications with large language models, AI agents, retrieval-augmented generation, tool use, or workflow orchestration.
- Demonstrated ability to build scalable services, APIs, data pipelines, and production software infrastructure.
- Strong problem-solving, debugging, and system-design skills with a history of shipping reliable systems.
- Effective collaboration across technical and business teams, with clear communication and the ability to drive solutions from idea to production.
Ways to stand out from the crowd:
- Background in GPU computing, CUDA, GPU architecture, or silicon bring-up processes.
- Familiarity with engineering diagnostics, hardware development workflows, or systems software.
- Hands-on work with MLOps, model evaluation frameworks, AI observability tools, or production AI monitoring.
- Contributions to open-source AI/ML projects or developer tools.
- Prior work building internal developer platforms or engineering efficiency tooling.
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, or equivalent experience
- 5+ years delivering production software, infrastructure, platform, or AI solutions
- Strong programming skills in Python and C/C++
- Experience building applications with large language models, AI agents, retrieval-augmented generation, tool use, or workflow orchestration
- Experience building scalable services, APIs, data pipelines, and production software infrastructure
- Strong problem-solving, debugging, and system-design skills with a history of shipping reliable systems
- Effective collaboration across technical and business teams, with clear communication and ability to drive solutions from idea to production
- Background in GPU computing, CUDA, GPU architecture, or silicon bring-up processes
- Familiarity with engineering diagnostics, hardware development workflows, or systems software
- Hands-on experience with MLOps, model evaluation frameworks, AI observability tools, or production AI monitoring
- Contributions to open-source AI/ML projects or developer tools
- Experience building internal developer platforms or engineering efficiency tooling
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.”
