Solutions Architect, Agentic Optimization

NVIDIA

AI Solutions Architect at NVIDIA enhancing consumer workload efficiency through innovative AI solutions. Collaborating with global teams and developing AI applications for cutting-edge technology.

Posted 7/13/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $152,000 - $241,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and software engineering, with a strong focus on developing and optimizing solutions for GPU performance and deep learning. Proven ability to collaborate with cross-functional teams and effectively communicate technical concepts.

Highest-signal resume keywords

AI/Software EngineeringPython ProgrammingC++ ProgrammingGPU OptimizationDeep Learning Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solutions DevelopmentModel Training OptimizationGPU Kernel DevelopmentProfiling and DebuggingPerformance Optimization

Soft Skills

Strong CommunicationTeam CollaborationSelf-StarterContinuous Learning

Tools & Technologies

NVIDIA FrameworksOpen-Source AI LibrariesGitHubDocumentation Tools

Industry Keywords

Consumer InternetLLMsRecommendersEngineering CollaborationDesign Wins

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Collaborating closely with customers to improve their workload performance and reduce infrastructure costs.
Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed.
Developing and debugging software for NVIDIA and open-source AI frameworks and libraries.
Partnering 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

What you’ll need

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 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.

Benefits

Comp & perks

equity
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