NVIDIA Corporation

Senior Staff Software Engineer - Agentic AI Applications and Foundations

NVIDIA Corporation • $224K — $431K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or equivalent experience in Computer Science or related field.
  • 12+ years in building and operating production software systems with architectural leadership.
  • Experience in enterprise application deployment, security, authentication, and lifecycle management.
  • Proficiency in full-stack development especially with technologies like TypeScript, React, Python, and Java.
  • Proven experience in transitioning products from prototype to reliable production systems with a strong focus on testing and performance.
  • Background in building reusable services or internal platforms for multiple teams or products.
  • Knowledge of AI application patterns and the ability to build reliable systems around AI technologies.

Responsibilities

  • Enhance reliability and user experience for AI products across various platforms.
  • Design resilient architectures for frontends, backends, and scalable services.
  • Establish robust patterns for CI/CD, testing, monitoring, and incident responses.
  • Create reusable capabilities that support diverse AI agent functions and workflows.
  • Operationalize technologies within enterprise production settings, ensuring reliability and trust.
  • Document architecture and components, mentor engineers, and establish durable practices.
  • Define the architecture for secure AI agent collaboration under governance.

Benefits

  • Eligible for company equity and comprehensive benefits package.
  • Focus on hands-on engineering with a clear impact across teams and products.
Full Job Description
Now we need a senior staff-level, hands-on engineer to make them bulletproof and to architect the next generation of agent infrastructure. This is not a research role. This is a role for someone who obsesses over reliability, polish, and user trust - and who has the full-stack depth to harden production systems and the architectural vision to ensure they scale.

What you'll be doing:
  • Improve reliability, performance, observability, release confidence, and end-user experience across desktop, web, and service-based AI products.
  • Design and build resilient frontends, backend APIs, distributed services, data flows, and deployment systems that scale to enterprise use.
  • Establish strong patterns for testing, debugging, CI/CD, safe rollout, auto-update mechanisms, monitoring, incident response, and operational excellence so our Agentic AI applications behave like mature software, not prototypes.
  • Build reusable capabilities that support multiple agent domains, including orchestration services, deep-agent workflows, memory and context services, evaluation frameworks, telemetry, and policy-aware tool integration.
  • Help validate and operationalize technologies such as Nemotron, NVIDIA AI Blueprints, and related platform capabilities in enterprise production settings.
  • Codify architecture, shared components, documentation, and operational playbooks; mentor engineers; and create foundations that are durable, reusable, and broadly owned.
  • Define the core architecture for how AI agents discover one another, collaborate securely, build trust, and operate under enterprise governance.
  • Partner closely with domain AI engineers, product managers, designers, infrastructure teams, IT, and research to deliver measurable outcomes across employee productivity, engineering efficiency, AIOps, and enterprise operations.


What we need to see:
  • BS, MS, or equivalent experience in Computer Science or a related field.
  • 12+ years building and operating production software systems, including significant experience leading architecture and delivery across the full stack.
  • Familiarity with enterprise application deployment, security, authentication, device management, and application lifecycle management.
  • Solid experience building modern applications across frontend, backend, and platform layers. This may include technologies such as TypeScript/JavaScript, React, Electron or similar desktop frameworks, Python, Go, Java, APIs, data systems, and distributed infrastructure.
  • Proven track record taking complex products from prototype to reliable, secure, well-operated production systems. Deep expertise in testing strategy, release engineering, observability, performance tuning, and incident response.
  • Experience building shared services, internal platforms, SDKs, or core infrastructure used by multiple teams or products.
  • Working knowledge of modern AI application patterns such as LLM-powered applications, RAG, tool use, CLI-based workflows, reusable skills, MCP-based integrations, evaluation loops, memory systems, and agentic workflows. You do not need to be a research scientist, but you should know how to build reliable, production-grade systems around AI.
  • Strong judgment, communication, and cross-functional leadership skills, with the ability to influence across teams while remaining highly hands-on.


Ways to stand out from the crowd:
  • Experience hardening desktop or client applications at scale, including installers, auto-update systems, crash recovery, and enterprise distribution.
  • A track record of improving engineering velocity and consistency through common frameworks, platform services, design patterns, and developer tooling.
  • Experience building reusable infrastructure for AI products, such as orchestration layers, memory/context services, evaluation platforms, human-in-the-loop workflows, or policy and safety controls.
  • Familiarity with identity, discovery, trust, reputation, or graph-based systems relevant to large-scale agent collaboration.
  • Experience with GPU-accelerated systems or NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 2, 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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