2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design and build an agentic execution system that operates across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments.
- Build and maintain core platform APIs for jobs, data, entities, secrets, RBAC, and authentication.
- Extend the plugin architecture and develop SDKs, libraries, CLIs, and other developer-facing interfaces.
- Provide senior technical leadership through architecture reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems.
- Improve reliability, observability, debuggability, performance, and developer workflows across the platform, SDKs, plugins, and jobs.
- Build unit, integration, end-to-end, Docker, and Kubernetes test coverage in an open-source repository.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
- At least 10 years of professional software engineering experience building production systems.
- Strong system design skills and 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.
- Strong written and verbal communication skills, including producing and reviewing architectural RFCs.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until November 3, 2026.
Tech Stack
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.