# Senior Staff Software Engineer — AI Applications and Platform Foundations

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Staff-Software-Engineer---AI-Applications-and-Platform-Foundations_JR2019456?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_98a51985-247

## Description

NVIDIA's Enterprise AI team develops production-grade AI applications and shared AI platforms that operate across desktop, mobile, web, and cloud environments. We are seeking a Senior Staff Software Engineer to help architect and build the foundation for NVIDIA's next generation of AI applications. This is a highly technical, hands-on leadership role for someone who combines deep full-stack engineering expertise with a strong platform technical leadership and a passion for delivering reliable, scalable, enterprise-grade AI products.

### What You'll Be Doing:

- Architect and deliver production AI applications across desktop, mobile, web, and cloud platforms, driving technical decisions spanning user experiences, backend services, APIs, data pipelines, and platform infrastructure.

- Establish engineering excellence for AI products 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 closely with product managers, designers, infrastructure teams, IT, and AI researchers to deliver measurable business impact while mentoring engineers and driving architectural alignment across organizations.

### What We Need to See:

- BS, MS, 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 spanning modern frontend technologies (TypeScript/JavaScript, React, Electron, React Native, Flutter, or similar), backend services, APIs, and distributed systems.

- Demonstrated 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 technologies such as LLMs, RAG, agent frameworks, tool integrations, memory systems, or workflow orchestration.

- Proven ability to influence technical direction across teams through strong architectural judgment, communication, and hands-on technical leadership.

### Ways to Stand Out from the Crowd:

- 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 that provide seamless user experiences 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, including NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints as well as experience contributing to or working with modern open-source AI ecosystems and agent frameworks.

## Skills

### Required
- full-stack development
- cloud-native architectures
- scalable platform infrastructure
- distributed application architectures
- software quality
- testing
- observability
- release engineering
- performance optimization
- security
- operational excellence
- AI-powered applications
- LLMs
- RAG
- agent frameworks
- tool integrations
- memory systems
- workflow orchestration

### Nice to have
- enterprise application deployment
- authentication
- device management
- application lifecycle management
- desktop and mobile applications
- cross-platform application architectures
- multi-agent systems
- large-scale collaboration platforms
- identity and trust frameworks
- enterprise-scale collaboration systems
- NVIDIA AI technologies
- NeMo
- NIM
- Nemotron
- TensorRT-LLM
- AI Blueprints

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Staff-Software-Engineer---AI-Applications-and-Platform-Foundations_JR2019456?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)