Senior Staff Software Engineer — Agentic AI Applications and Foundations

Details

NVIDIA’s Enterprise AI team builds intelligent AI agents for personal assistants, engineering productivity, data-driven analytics, supply-chain optimization, and other enterprise operations. These agents are in production and used across the company. The role focuses on hardening production systems, architecting agent infrastructure, and delivering reliable, scalable, and trusted AI applications. This is a hands-on engineering role rather than a research role.

Responsibilities

• 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 patterns for testing, debugging, CI/CD, safe rollouts, auto-update mechanisms, monitoring, incident response, and operational excellence.
• Build reusable capabilities for multiple agent domains, including orchestration services, deep-agent workflows, memory and context services, evaluation frameworks, telemetry, and policy-aware tool integration.
• Validate and operationalize technologies such as Nemotron, NVIDIA AI Blueprints, and related platform capabilities in enterprise production environments.
• Codify architecture, shared components, documentation, and operational playbooks; mentor engineers; and create durable, reusable foundations.
• Define core architecture for how AI agents discover one another, collaborate securely, build trust, and operate under enterprise governance.
• Partner with domain AI engineers, product managers, designers, infrastructure teams, IT, and research to deliver outcomes across employee productivity, engineering efficiency, AIOps, and enterprise operations.

Requirements

• Bachelor’s degree, master’s degree, or equivalent experience in Computer Science or a related field.
• 12+ years of experience 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.
• Experience building modern applications across frontend, backend, and platform layers using technologies such as TypeScript/JavaScript, React, Electron or similar desktop frameworks, Python, Go, Java, APIs, data systems, and distributed infrastructure.
• Proven ability to take complex products from prototype to reliable, secure, and 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, including 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.

Preferred Qualifications

• Experience hardening desktop or client applications at scale, including installers, auto-update systems, crash recovery, and enterprise distribution.
• Experience 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 and context services, evaluation platforms, human-in-the-loop workflows, or policy and safety controls.
• Familiarity with identity, discovery, trust, reputation, or graph-based systems for large-scale agent collaboration.
• Experience with GPU-accelerated systems or NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints.

Compensation and Benefits

• Base salary range: $224,000–$356,500 for Level 5 or $272,000–$431,250 for Level 6, determined by location, experience, and the pay of employees in similar positions.
• Eligible for equity and benefits.
• Applications accepted at least until October 2, 2026.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.