Technical Lead - Performance Data Platform (Equity)

NVIDIA Corporation; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks a technical lead to architect a new platform that analyzes AI workload performance across many computing nodes. You will build end-to-end data models, APIs, and deployment paths, guiding partners from prototype to product while mentoring engineers.

You will review diagnoses, ensure data quality, and advocate scalable solutions across teams. Equity and comprehensive benefits accompany the role in Santa Clara, CA.

Qualifications

• 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.

Responsibilities

• 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.
• 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.

Skills

C++

Go

Python

Education

Bachelor's degree in Computer Science or related field

Job description

NVIDIA Corporation seeks a technical lead to architect a new platform that analyzes AI workload performance across many computing nodes. You will build end-to-end data models, APIs, and deployment paths, guiding partners from prototype to product while mentoring engineers.

You will review diagnoses, ensure data quality, and advocate scalable solutions across teams. Equity and comprehensive benefits accompany the role in Santa Clara, CA.