# Solutions Architect, Agentic Optimization

**Company**: NVIDIA
**Location**: Santa Clara, CA
**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/Solutions-Architect--Agentic-Optimization_JR2018991?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2482c829-3da

## Description

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer-facing role.

Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies.

**Responsibilities:**

- Collaborate closely with customers to improve their workload performance and reduce infrastructure costs.

- Lead and develop proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and build collateral (notebook/code) as needed.

- Develop and debug software for NVIDIA and open-source AI frameworks and libraries.

- Partner with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback.

**Requirements:**

- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience.

- 5+ years of experience as an AI/Software Engineer with a proven track record coding in Python and/or C++ with popular AI software libraries and GPUs.

- Experience with profiling and optimizing model training/inference performance on GPUs.

- Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels.

- Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations.

- A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing.

- Self-starter with a passion for growth, continuous learning, and sharing insights with the team.

**Nice to Have:**

- Full stack experience.

- Experience working with enterprise developers and strong customer-facing skills.

- Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments.

- Experience with large-scale production data pipelines and AI model training/deployment.

- Creative problem-solving skills for debugging and resolving complex issues.

You will also be eligible for equity and benefits.

## Skills

### Required
- Python
- C++
- AI software libraries
- GPUs
- profiling
- optimizing model training/inference performance
- GPU kernels
- deep learning

### Nice to have
- full stack experience
- enterprise developers
- MLOps technologies
- large-scale production data pipelines
- creative problem-solving skills

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--Agentic-Optimization_JR2018991?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)