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Nvidia Engineering Jobs in Chicago, IL (NOW HIRING)

Infrastructure Deployment Engineer

Northbrook, IL

$109K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

The successful applicant will collaborate closely with NVIDIA, OEMs, contractors, facilities teams, and Network Engineers to ensure seamless infrastructure deployments that meet exacting standards ...

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

  • Medical

  • Retirement

  • PTO

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 ...

Senior Platform Engineer

Chicago, IL · On-site

$107K - $147K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Junior HPC Systems Engineer

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Junior HPC Systems Engineer

Chicago, IL · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Senior Hardware Systems Engineer

Chicago, IL · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own edge compute standards across Ubuntu, NVIDIA Jetson, industrial PCs, embedded systems, storage ... A mix of architecture, hands-on engineering, lab validation, troubleshooting, and occasional field ...

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Senior Hardware Systems Engineer

Chicago, IL · On-site

$140 - $185/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own edge compute standards across Ubuntu, NVIDIA Jetson, industrial PCs, embedded systems, storage ... A mix of architecture, hands-on engineering, lab validation, troubleshooting, and occasional field ...

New

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Showing results 1-20

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 19, 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 cities near Chicago, IL are hiring for Nvidia Engineering jobs?

Cities near Chicago, IL with the most Nvidia Engineering job openings:

Infographic showing various Nvidia Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $151,295 per year, or $72.7 per hour.

CUDA Engineer - Kernel Optimization - AI Trainer

Mercor

Chicago, IL • On-site, Remote

$144K/yr

Full-time

Posted 14 hours ago

Posted today


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: CUDA Engineering Expert
Type: Contract
Compensation: $500/hour
Location: Remote

Role Responsibilities

  • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
  • Use profiler metrics like L2 cache hit rate and occupancy to guide kernel improvements.
  • Review GPU kernel implementations and identify bottlenecks without deep algorithmic background.
  • Write and modify C++17, Python, and GPU programming code.
  • Apply expertise in CUDA, HIP, and shader programming to improve performance.
  • Document optimization decisions clearly, focusing on profiler metrics' utility.

Qualifications

Must-Have

  • Available to work at least 20 hrs/wk.
  • Fluent in core C++ features through C++17.
  • Working knowledge of Python and Git.
  • Fluent in one GPU programming model like CUDA or HIP.
  • 1+ year of professional or research experience with GPUs.
  • Strong understanding of GPU profiler performance metrics.

Preferred

  • Experience with CUDA, HIP, and CUDA C++ Core Libraries.
  • Experience optimizing kernels for NVIDIA Blackwell hardware.
  • Familiarity with NSight Compute.
  • Prior experience with NVIDIA, AMD, or Qualcomm.
  • Open-source contributions related to GPU kernel optimization.

Application Process (Takes 20–30 mins to complete)

  • Submit your resume or relevant technical background.
  • Qualified applicants may complete a brief technical assessment or submit additional information.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor