- BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field
- 10+ years of professional software engineering experience building production systems
- Comfort working in a very fast and ambiguous environment
- Exceptional communication, both verbal and written. This includes the ability to produce and review high quality architectural RFCs, and to discuss them clearly with the right level of technical detail for the right people (Engineer, Product, Marketing, etc.)
- Strong system design skills, with a pragmatic flexibility and phenomenal instincts to invent robust systems quickly without over-complicating. Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure
- Experience with distributed systems, cloud-native services, containers, Kubernetes, and job orchestration
- 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
- Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries
Ways to stand out from the crowd
- Experience building, deploying, and iterating on production agentic AI systems at scale in Kubernetes
- Experience with sophisticated plugin architectures
- 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
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 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.