Senior Software Engineer, Agentic Systems

About the role

We are looking for a Senior Software Engineer to help build NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role will focus on NeMo Evaluator, which helps teams understand whether changes to AI agents are making those agents better.

Responsibilities

• Design and implement Python-first APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents across multiple runtimes and product surfaces
• Build reusable systems for observing behavior, measuring progress, detecting regressions, and turning runtime evidence into product decisions
• Build systems for ingesting, normalizing, validating, and analyzing agent execution data and evaluation datasets
• Partner with research, product, platform, and infrastructure teams to integrate agentic capabilities broadly across NVIDIA agent runtimes and developer workflows
• Help turn emerging agent development and improvement techniques into reliable, reusable product capabilities
• 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

Requirements

• 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
• 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

Qualifications

• 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

Skills

• Experience with structured data modeling and validation systems such as Pydantic, typed schemas, event/trace models, or SDK-generated types

Benefits

• 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.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Schedule

You will also be eligible for equity and benefits.

Application Instructions

Applications for this job will be accepted at least until June 26, 2026. This posting is for an existing vacancy.