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Nvidia Engineering Jobs in Chicago, IL (NOW HIRING)

YO AI Labs

CUDA Engineering Expert - Remote

Chicago, IL · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

YO AI Labs

GPU Programmer - Remote

Chicago, IL · Remote

$60 - $85/hr

Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

YO AI Labs

GPU Programming Expert - Remote

Chicago, IL · Remote

$60 - $85/hr

Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

Alliance Sourcing Network

DevOps Engineer

Chicago, IL · On-site

$54.50 - $74.50/hr

... Engineering team to support various CLIENT Digital engineering teams in their efforts to develop ... Experience with NVIDIA GPU's for AI use cases, specifically from a cybersecurity and governance ...

YO AI Labs

CUDA Developer - Remote

Chicago, IL · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

YO AI Labs

CUDA Software Engineer - Remote

Chicago, IL · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

Moonlite AI

Sr. Site Reliability Engineer (SRE)

Chicago, IL · On-site

$58.75 - $78/hr

... and optimize NVIDIA GPU operators, device plugins, and other custom scheduling logic for GPU ... engineering roles with proven experience operating production infrastructure at scale. • Deep ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms * Collaborate with robotics engineers on sensor selection, placement, and calibration * Support scaling ML systems ...

The University of Chicago

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Department BSD CTD - Platform Engineering - PlanX About the Department The Center for Translational ... Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU ...

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Nvidia Engineering information

See Chicago, IL salary details

$47.9K

$151.3K

$179.2K

How much do nvidia engineering jobs pay per year?

As of Aug 30, 2026, the average yearly pay for nvidia engineering in Chicago, IL is $151,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $178,200.00 per year, depending on experience, location, and employer.

What is an Nvidia engineer?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What are the most commonly searched types of Nvidia Engineering jobs in Chicago, IL?

The most popular types of Nvidia Engineering jobs in Chicago, IL are:

What are popular job titles related to Nvidia Engineering jobs in Chicago, IL?

For Nvidia Engineering jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Nvidia Engineering jobs in Chicago, IL look for?

The top searched job categories for Nvidia Engineering jobs in Chicago, IL are:

Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $151,295 per year, or $72.7 per hour.

CUDA Engineering Expert - Remote

Chicago, IL • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$60 - $100/hr

Full-time

Posted 9 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.