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.
NVIDIA wants a technical lead to invent a new platform that enables engineers to assess the performance of AI workloads running on numerous computing nodes. Our team develops software tools for technical users to comprehend complex computing systems. You will lead the architecture of a system that collects performance data at a data center scale, maintains it as searchable history, and permits both people and automated analysis agents to find and explain performance issues. You will evolve this from an early prototype into a product used by other teams, while building hands-on as the team expands.
What you’ll be doing:
- Define the end-to-end architecture: the data model, the service and API contracts, and the boundaries with the tools and teams that produce the data.
- Make foundational decisions and justify them in documents. Include considered alternatives and evidence that could reverse them. Align these decisions with partner teams and their roadmaps.
- Build in the early phase: stand up services, APIs and a deployment path yourself, so that partners can develop the system before every role is filled.
- Explain how automated analysis agents operate within the platform. Describe what queries they may perform, how their results relate to evidence, and the constraints on their cost and response time.
- Review performance diagnoses and drive the first use cases with design partners, mentor engineers, and establish the engineering approaches the team grows into.
What we need to see:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 15+ years of software engineering experience, including technical leadership of a data-intensive platform that shipped end to end and was used by other teams.
- Experience developing or managing systems where automated agents or models process large amounts of production data, including methods used to assess the quality of their results.
- Practical knowledge of GPU and machine learning workload performance: you can review a performance diagnosis, question its evidence, and decide which signals matter most.
- A track record of crafting APIs and data models that evolved without breaking existing users or deployments.
- Hands-on ability to build and deploy services and tooling yourself, including when using automated development tools, and to verify the result independently through tests and measurements.
- Clear communication of build choices, trade-offs and uncertainty to engineers, partner teams and leadership, and the ability to align teams without direct authority.
- Proficiency with C++, Go, Python.
Ways to stand out from the crowd:
- Background in developer tools, profilers or performance-analysis products.
- Experience transforming a prototype into a platform embraced by multiple teams with distinct priorities.
- Identity, access control and multi-tenant build for products that hold customers’ data.
- Evaluation approach for the output of analysis agents or models: labeled cases, precision and recall, abstention.
- Working knowledge of SQL and TypeScript.
Join NVIDIA and be part of a team that’s redefining what’s possible through technology. Together, we’ll build a platform that sets new standards for performance data analysis and empowers engineers worldwide to achieve flawless results!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 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 degree in Computer Science, Computer Engineering, or a related field, or equivalent experience
- 15+ years of software engineering experience
- Technical leadership experience delivering a data-intensive platform end to end for use by other teams
- Experience with systems where automated agents or models process large amounts of production data, including evaluating result quality
- Practical knowledge of GPU and machine-learning workload performance
- Experience crafting APIs and data models that evolve without breaking users or deployments
- Hands-on ability to build, deploy, test, and independently measure services and tooling
- Clear communication of technical choices, trade-offs, and uncertainty, with the ability to align teams without direct authority
- Proficiency with C++, Go, and Python
- Background in developer tools, profilers, or performance-analysis products
- Experience transforming prototypes into platforms adopted by multiple teams
- Experience with identity, access control, and multi-tenant products holding customer data
- Experience evaluating analysis-agent or model outputs using labeled cases, precision, recall, and abstention
- Working knowledge of SQL and TypeScript
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
