Improve reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflows
Build strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflows
Drive “speed of light” engineering: fast iteration, high ownership, pragmatic decisions, and performance-minded implementation under production constraints
Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems
What we need to see
BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field
5+ years of professional software engineering experience building production systems
Excellent Python engineering skills, including API design, typing, testing, debugging, performance analysis, and maintainable software design
Experience designing SDKs, libraries, plugins, CLIs, or other developer-facing interfaces
Experience with distributed systems, cloud-native services, containers, Kubernetes, or job orchestration
Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure
Experience with structured data modeling and validation systems such as Pydantic, typed schemas, event/trace models, or SDK-generated types
Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries
Clear communication skills and a track record of collaborating with engineering, product, research, or customer-facing teams
Ways to stand out from the crowd
Experience building, deploying, and iterating on production agentic AI systems where evaluation was used to measure and improve real product outcomes
Experience designing evaluation workflows for heterogeneous agents, including tool-using agents, RAG agents, workflow agents, coding agents, or long-running autonomous systems
Experience integrating evaluation capabilities across multiple products, runtimes, or internal platforms, especially through Python SDKs, plugins, or shared developer tooling
Strong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency
Experience with enterprise AI systems where measurement, regression testing, observability, governance, and continuous improvement are required for production deployment
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re passionate about leading breakthrough AI research and building exceptional teams that shape the future of computing, we want to hear from you.
- Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
- 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 10, 2026.
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.
