# Applied AI Engineer

**Company**: NVIDIA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Applied-AI-Engineer_JR2018181-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7e30c67d-826

## Description

NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate AI solutions into the design and automation infrastructure that powers their chips.

The successful candidate will architect and implement solutions that enhance the efficiency, scalability, and intelligence of workflows, driving initiatives from concept to deployment.

**Responsibilities:**

- Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments.

- Work directly with multi-functional engineering teams to identify where AI can eliminate friction and build solutions.

- Evaluate emerging AI frameworks and architectures.

- Build data systems that prove the impact of AI and drive continuous improvement.

**Requirements:**

- BS, MS, or PhD in CS, EE, CE, or a related field with 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.

- 2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end.

- Strong Python skills and proficiency in at least one static language.

- Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.

- Hands-on experience in production test, system validation, post-silicon bring-up, reliability, silicon debug, or silicon productization areas.

**Benefits:**

- Competitive salaries

- Generous benefits package

- Equity eligibility

**Nice to Have:**

- Exposure to GPU, CPU, AI accelerator, networking, automotive, or other large-scale SoC programs.

- Familiarity with modern AI technologies and methodologies for crafting and launching LLMs.

- Experience with building and deploying orchestration agents managing hundreds to thousands of tools.

- Ability to translate innovative AI research into practical, high-impact production tools.

## Skills

### Required
- Python
- C
- C++
- Java
- Scala
- Machine Learning
- Artificial Intelligence
- Data-intensive backend services
- EE fundamentals
- Computer architecture
- Firmware/driver structures
- Hardware interaction

### Nice to have
- GPU
- CPU
- AI accelerator
- Networking
- Automotive
- Large-scale SoC programs
- Modern AI technologies
- LLMs
- Orchestration agents
- Deep learning frameworks

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Applied-AI-Engineer_JR2018181-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)