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Nvidia Engineering Jobs in Illinois (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

We are a small engineering company, so engineers here work directly with the people using the ... Time in any public cloud, and with NVIDIA GPU tooling such as nvidia-smi or DCGM. * Time with ...

Showing results 21-40

Nvidia Engineering information

See Illinois salary details

$45.1K

$142.3K

$168.6K

How much do nvidia engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for nvidia engineering in Illinois is $142,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $167,600.00 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 Illinois?

The most popular types of Nvidia Engineering jobs in Illinois are:

What cities in Illinois are hiring for Nvidia Engineering jobs?

Cities in Illinois with the most Nvidia Engineering job openings:

Infographic showing various Nvidia Engineering job openings in Illinois as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $142,319 per year, or $68.4 per hour.

GPU Programmer - Remote

YO AI Labs

Chicago, IL • Remote

$60 - $85/hr

Full-time

Posted 19 days ago


Job description

GPU Programmer - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities
  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications
  • 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, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan