Tech Lead, Performance Data Platform

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

Job summary

NVIDIA Corporation is seeking a technical lead to invent a new platform that enables engineers to assess AI workload performance across data-center scale. You will lead the architecture of a system, define data models and APIs, and build early services so partners can develop the system before full staffing.

This role demands 15+ years of software engineering and proven leadership, with hands-on ability to deploy services, work with GPU/ML workloads, and craft robust APIs.

Qualifications

• 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.

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.
• 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.

Skills

C++

Go

Python

Education

Bachelor's degree in Computer Science/Engineering

Job description

NVIDIA Corporation is seeking a technical lead to invent a new platform that enables engineers to assess AI workload performance across data-center scale. You will lead the architecture of a system, define data models and APIs, and build early services so partners can develop the system before full staffing.

This role demands 15+ years of software engineering and proven leadership, with hands-on ability to deploy services, work with GPU/ML workloads, and craft robust APIs.