# High Performance 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-Santa-Clara/High-Performance-AI-Engineer_JR2006961-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_dabde48a-2bc

## Description

NVIDIA, a leader in computer graphics and AI computing, is seeking a High Performance AI Engineer to join their team. You will design, build, and optimize agentic AI systems for the CUDA ecosystem, collaborating with software, hardware, and algorithm teams.

**Responsibilities:**

- Design, build, and optimize agentic AI systems for the CUDA ecosystem.

- Co-design agentic system solutions with software, hardware, and algorithm teams; influence and adopt new capabilities as they become available.

- Develop reproducible, high-fidelity evaluation frameworks covering performance, quality, and developer productivity.

- Collaborate across the AI stack,from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving,and with model/agent teams.

**Requirements:**

- Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.

- 3 years+ industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.

- Strong C/C++ and Python programming skills; solid software engineering fundamentals.

- Experience with GPU programming and performance optimization (CUDA or equivalent).

**Preferred Qualifications:**

- Strong experience in building/evaluating deep learning models, coding agents and developer tooling.

- Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms.

- Demonstrated ability in GPU performance optimizations, evidenced by benchmark wins or published results.

- Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards.

NVIDIA offers competitive salaries, a generous benefits package, equity, and opportunities for career growth.

## Skills

### Required
- C/C++
- Python
- GPU programming
- CUDA
- AI systems development
- Deep learning frameworks

### Nice to have
- Deep learning models
- Agent coding
- Developer tooling
- GPU performance optimizations
- Open-source leadership

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/High-Performance-AI-Engineer_JR2006961-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)