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Contract Cuda Developer Jobs in Illinois (NOW HIRING)

The University of Chicago

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

... contract. Employment will be contingent upon the continued receipt of these grant funds and ... Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU ...

All JobsContract Cuda Developer JobsContract Cuda Developer Jobs in Illinois

Contract Cuda Developer information

What is the difference between Contract Cuda Developer vs Contract GPU Programmer?

AspectContract Cuda DeveloperContract GPU Programmer
Required CredentialsProficiency in CUDA, C++, GPU architecture knowledgeProficiency in GPU programming, CUDA, OpenCL, or similar
Work EnvironmentTech companies, research labs, software development firmsGaming, simulation, scientific computing industries
Employer & Industry UsagePrimarily in tech, AI, and high-performance computing sectorsIn industries utilizing GPU acceleration like gaming and scientific research

The Contract Cuda Developer and Contract GPU Programmer roles both require expertise in GPU technologies and CUDA. However, the Contract Cuda Developer typically focuses more on developing and optimizing CUDA-specific applications, while the Contract GPU Programmer may work across various GPU programming frameworks like OpenCL. Both roles are vital in high-performance computing environments, but their specific focus and industry applications differ slightly.

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Contract Cuda Developer jobs near you

CUDA Engineer - Kernel Optimization - AI Trainer

Mercor

Chicago, IL • On-site, Remote

$144K/yr

Full-time

Posted 6 days ago

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