23 hours ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design and implement Python-first APIs, SDK workflows, and plugin interfaces for building, measuring, and improving AI agents.
- Build systems for behavioral observation, progress measurement, regression detection, runtime evidence analysis, and evaluation-data processing.
- Ingest, normalize, validate, and analyze agent execution data and evaluation datasets.
- Partner with research, product, platform, and infrastructure teams to integrate agentic capabilities across runtimes and developer workflows.
- Improve reliability, observability, debuggability, performance, and scalability across NeMo Platform, SDKs, plugins, jobs, and developer workflows.
- Build unit, integration, end-to-end, Docker, and Kubernetes test coverage.
- Provide technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component work.
Requirements
- Bachelor’s, master’s, or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
- At least 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, resolve ambiguity, and drive work across team boundaries.
- Clear communication and collaboration skills across engineering, product, research, or customer-facing teams.
- Preferred experience building production agentic AI systems, evaluation workflows for heterogeneous agents, shared Python SDKs or plugins, and enterprise AI systems requiring measurement, observability, governance, and continuous improvement.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until November 10, 2026.
- This posting is for an existing vacancy.
Tech Stack
Categories
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.