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Remote Nvidia Research Jobs in Arizona (NOW HIRING)

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

Remote Nvidia Research information

What is the difference between Remote Nvidia Research vs Remote Nvidia Data Scientist?

AspectRemote Nvidia ResearchRemote Nvidia Data Scientist
Required CredentialsAdvanced degrees in Computer Science, AI, or related fields; research publicationsDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentResearch labs, collaborative projects, experimental workData analysis, modeling, and deployment in business settings
Employer & Industry UsageNvidia's R&D divisions, academic collaborationsNvidia's analytics teams, product development

Remote Nvidia Research focuses on innovative AI and machine learning research, often involving experimental projects and publications. In contrast, Remote Nvidia Data Scientists analyze data to inform business decisions and develop models. Both roles require technical expertise but differ in their primary objectives and work environment.

What are the most commonly searched types of Nvidia Research jobs in Arizona?

The most popular types of Nvidia Research jobs in Arizona are:

What cities in Arizona are hiring for Remote Nvidia Research jobs?

Cities in Arizona with the most Remote Nvidia Research job openings:

Infographic showing various Remote Nvidia Research job openings in Arizona as of June 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution.

CUDA Engineering Expert - Remote

Phoenix, AZ • Remote

$60 - $100/hr

Full-time

Posted 4 days ago


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.