NVIDIA Corporation

Senior Software Engineer, Agentic Systems

NVIDIA Corporation$184K — $356K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or equivalent in Computer Science or a related field
  • 5+ years of professional software engineering experience
  • Excellent Python engineering skills, including API design and debugging
  • Experience designing developer-facing SDKs, libraries, or plugins
  • Familiarity with distributed systems and cloud-native services
  • Understanding of production infrastructure reliability and performance
  • Experience with structured data modeling and validation systems

Responsibilities

  • Design and implement Python-first APIs for AI agent development
  • Build reusable systems for observing agent behavior and measuring progress
  • Develop systems for analyzing agent execution and evaluation data
  • Collaborate with cross-functional teams to integrate agentic capabilities
  • Turn emerging development techniques into reliable product features
  • Enhance reliability and performance of NeMoStack services
  • Ensure strong test coverage across various workflows

Benefits

  • Eligibility for equity opportunities
  • Access to comprehensive benefits package
  • Opportunity to work on cutting-edge AI technology
  • Flexible work environment fostering innovation
  • Professional growth and leadership training opportunities
Full Job Description
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. As AI systems become more autonomous and more deeply integrated into real workflows, teams need practical infrastructure for observing behavior, measuring progress, catching regressions, and iterating with confidence.

Our roadmap is increasingly focused on agentic development and automated agent improvement: giving teams the infrastructure they need to compare versions, understand behavior, and make empirically grounded improvements over time.

What you'll be doing:
  • 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 NeMoStack services, 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


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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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