2

Remote Nvidia Hardware Engineer Jobs in Illinois

Junior HPC Systems Engineer

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... hardware. Customer success sets our priorities. We are a small engineering company, so engineers ... Time in any public cloud, and with NVIDIA GPU tooling such as nvidia-smi or DCGM. * Time with ...

FPGA Engineer - Work From Home

Chicago, IL · On-site +1

$133K - $172K/yr

  • Medical

  • Retirement

  • PTO

FPGA Engineer - Work From Home We are seeking a talented and self-motivated FPGA Engineer to join a ... This position is 100% Remote. Responsibilities: - Architect and code FPGA designs in a hardware ...

Senior HPC Systems Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Some clusters are customer owned hardware on site, some run in accredited Government cloud regions ... NVIDIA GPU node operations at multi-node scale, including driver stack management and fault triage.

Robotics Software Engineer

Hinckley, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Robotics Software Engineer Hinckley, IL (~ 50 miles west of Chicago) Remote Position Summary Join ... Design, develop, and maintain software applications for managing hardware components and their ...

$126K - $166K/yr

Senior Software Engineer Requirements: * Capital Markets Experience - understanding of front ... Low level understanding of hardware and OS * Thorough understanding of network protocols (TCP/IP ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices ...

Field Systems Engineer

Chicago, IL · Remote

$50 - $52.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The team stages and configures infrastructure, deploys applications, performs hardware refreshes ... remote position. Application Deadline This position is anticipated to close on Aug 21, 2026. About ...

next page

Showing results 1-20

Remote Nvidia Hardware Engineer information

What does a remote Nvidia hardware engineer do?

A Remote Nvidia Hardware Engineer focuses on designing, developing, and testing hardware components and systems for Nvidia products, such as graphics processing units (GPUs) and related technologies, while working from a remote location. They collaborate with cross-functional teams to ensure hardware solutions meet performance, reliability, and efficiency standards. Their work may include circuit design, board layout, hardware debugging, and supporting the integration of Nvidia hardware into various devices. Remote engineers use digital communication and collaboration tools to work effectively with global teams and contribute to innovative hardware solutions.

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

To thrive as a Remote Nvidia Hardware Engineer, you need a strong background in electrical or computer engineering, experience with GPU architecture, and proficiency in hardware design and validation. Expertise with tools such as Verilog/VHDL, simulation environments, and familiarity with Nvidia’s development platforms or relevant certifications is common. Strong problem-solving abilities, effective remote communication, and collaborative teamwork skills set top candidates apart. These competencies ensure efficient development, troubleshooting, and innovation in high-performance hardware solutions within distributed teams.

What are some common challenges faced by remote Nvidia hardware engineers, and how can they be addressed?

Remote Nvidia Hardware Engineers often encounter challenges related to effective collaboration and communication, especially when working on complex hardware design and testing with distributed teams. Staying aligned with project milestones, ensuring access to necessary hardware resources, and troubleshooting remotely can also be demanding. These challenges can be addressed by leveraging robust collaboration tools, maintaining clear documentation, and scheduling regular virtual meetings to synchronize efforts. Additionally, using remote desktop solutions and cloud-based simulation environments can help bridge the gap when physical access to hardware is limited.

What is the difference between Remote Nvidia Hardware Engineer vs Remote Nvidia Software Engineer?

AspectRemote Nvidia Hardware EngineerRemote Nvidia Software Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related; hardware design certificationsBachelor's or higher in Computer Science, Software Engineering, or related; programming certifications
Work EnvironmentDesigning and testing hardware components, collaborating with hardware teamsDeveloping software, drivers, and algorithms for Nvidia products
Industry UsageHardware development for GPUs, AI accelerators, and embedded systemsSoftware development for drivers, SDKs, and AI frameworks

The main difference is that Remote Nvidia Hardware Engineers focus on designing and testing physical hardware components, while Remote Nvidia Software Engineers develop the software that runs on Nvidia hardware. Both roles require technical expertise but differ in their focus areas within the Nvidia ecosystem.

What are the most commonly searched types of Nvidia Hardware Engineer jobs in Illinois?

The most popular types of Nvidia Hardware Engineer jobs in Illinois are:

What are popular job titles related to Remote Nvidia Hardware Engineer jobs in Illinois?

For Remote Nvidia Hardware Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Remote Nvidia Hardware Engineer jobs in Illinois look for?

The top searched job categories for Remote Nvidia Hardware Engineer jobs in Illinois are:

What cities in Illinois are hiring for Remote Nvidia Hardware Engineer jobs?

Cities in Illinois with the most Remote Nvidia Hardware Engineer job openings:

CUDA Engineer - Kernel Optimization - AI Trainer

Mercor

Chicago, IL • On-site, Remote

$144K/yr

Full-time

Posted 15 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