1 day ago
Base Salary
$272k - $431k/yr
Responsibilities
- Define the end-to-end architecture, data model, service and API contracts, and boundaries with data-producing tools and teams.
- Make and document foundational technical decisions, including alternatives, evidence, trade-offs, and reversal criteria.
- Build early services, APIs, deployment paths, and tooling hands-on so partner teams can begin development.
- Define how automated analysis agents operate, including permitted queries, evidence relationships, cost constraints, and response-time limits.
- Drive initial use cases with design partners, review performance diagnoses, mentor engineers, and establish engineering practices for the growing team.
Requirements
- 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 an end-to-end shipped data-intensive platform used by other teams.
- Experience with systems in which automated agents or models process large amounts of production data, including methods for evaluating result quality.
- Practical knowledge of GPU and machine learning workload performance and the ability to assess performance diagnoses and evidence.
- Experience designing APIs and data models that evolve without breaking existing users or deployments.
- Hands-on ability to build and deploy services and tooling and independently verify results through tests and measurements.
- Strong communication and team-alignment skills, including the ability to explain technical choices, trade-offs, and uncertainty without direct authority.
- Proficiency with C++, Go, and Python.
- Preferred experience includes developer tools, profilers, performance-analysis products, prototype-to-platform development, identity and access control, multi-tenant systems, SQL, TypeScript, and evaluation methods such as labeled cases, precision, recall, and abstention.
Benefits
- Base salary range of 272,000 USD - 431,250 USD, determined by location, experience, and comparable employee pay.
- Eligible for equity and benefits.
- Applications accepted at least until November 2, 2026.
- This posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.