Senior Staff Software Engineer — AI Applications and Platform Foundations

Details

NVIDIA's Enterprise AI team develops production-grade AI applications and shared AI platforms across desktop, mobile, web, and cloud environments. These systems support engineering productivity, intelligent assistants, operational automation, enterprise search, knowledge management, and data-driven decision-making across NVIDIA.

This is a highly technical, hands-on leadership role focused on architecting and building the foundation for NVIDIA's next generation of enterprise AI applications. The role requires deep full-stack engineering expertise, strong platform technical leadership, and a focus on software quality, operational excellence, user experience, and system reliability. This is not a research position; the focus is on transforming AI prototypes into reliable products used at scale.

Responsibilities

• Architect and deliver production AI applications across desktop, mobile, web, and cloud platforms, including user experiences, backend services, APIs, data pipelines, and platform infrastructure.
• Establish engineering excellence through robust testing strategies, CI/CD, observability, release management, operational readiness, incident response, and performance optimization.
• Build shared AI foundations, including agent orchestration, memory and context services, evaluation frameworks, telemetry, workflow execution, tool integration, internal frameworks, and reusable platform services.
• Operationalize NVIDIA AI technologies such as Nemotron, NIM, NeMo, AI Blueprints, and emerging AI platform capabilities in enterprise production environments.
• Partner with product managers, designers, infrastructure teams, IT, and AI researchers to deliver measurable business impact.
• Mentor engineers and drive architectural alignment across organizations.

Requirements

• Bachelor's degree, master's degree, or equivalent experience in Computer Science, Software Engineering, or a related technical field.
• 10+ years of experience designing, building, and operating large-scale production software systems, including architecture leadership for complex products.
• Strong full-stack development experience with modern frontend technologies such as TypeScript/JavaScript, React, Electron, React Native, Flutter, or similar, as well as backend services, APIs, and distributed systems.
• Expertise in cloud-native architectures, scalable platform infrastructure, data systems, and distributed application architectures.
• Deep knowledge of software quality, testing, observability, release engineering, performance optimization, security, and operational excellence.
• Experience building or operating AI-powered applications using LLMs, RAG, agent frameworks, tool integrations, memory systems, or workflow orchestration.
• Ability to influence technical direction across teams through architectural judgment, communication, and hands-on technical leadership.

Additional Qualifications

• Familiarity with enterprise application deployment, security, authentication, device management, and application lifecycle management.
• Experience building and operating desktop and mobile applications at scale, including installers, enterprise deployment, app distribution, auto-update systems, crash recovery, offline experiences, and client observability.
• Experience designing cross-platform application architectures across desktop, mobile, and web environments.
• Familiarity with multi-agent systems, large-scale collaboration platforms, identity and trust frameworks, or enterprise-scale collaboration systems.
• Hands-on experience with NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints, as well as modern open-source AI ecosystems and agent frameworks.

Compensation and Benefits

• Base salary for Level 4: USD 184,000–287,500 per year.
• Base salary for Level 5: USD 224,000–356,500 per year.
• Eligible for equity and benefits.

Applications will be accepted at least until June 30, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.