Senior Staff Software Engineer - Agentic AI Applications and Foundations

NVIDIA Corporation; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Job summary

NVIDIA Corporation is seeking a senior, hands-on staff engineer to architect the next generation of agent infrastructure. This role is not purely research and focuses on building reliable, scalable systems across desktop, web, and service-based AI products.

You will lead architecture, implement reusable platforms, and mentor engineers while coordinating with product, design, and infrastructure teams to deliver measurable enterprise outcomes.

Qualifications

• BS, MS, or equivalent experience in Computer Science or related field.
• 12+ years building and operating production software systems with leadership in architecture & delivery across the full stack.
• Familiarity with enterprise deployment, security, authentication, device management, and lifecycle management.
• Proven track record delivering complex products from prototype to production, secure and well-operated.
• Strong testing, observability, release engineering, and incident response capabilities.
• Experience building shared services or core infrastructure used by multiple teams.

Responsibilities

• Improve reliability, performance, observability, release confidence, and UX across AI products.
• Design and build scalable frontends, backend APIs, distributed services, and deployment systems.
• Establish testing, CI/CD, safe rollout, monitoring, and operational playbooks for enterprise use.
• Create reusable capabilities for agent domains: orchestration, memory, evaluation, telemetry, and tool integration.
• Mentor engineers and codify architecture and documentation for durable foundations.
• Define architecture for secure discovery, collaboration, and governance among AI agents.

Skills

TypeScript/JavaScript

React

Electron

Python

Go/Java

APIs

Distributed systems

Education

BS/MS or higher in Computer Science or related field

Tools

Electron

CI/CD tooling

Job description

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC-gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU-accelerated deep learning ignited modern AI - the next era of computing with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as the AI computing company.

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.

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.
• 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.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.