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Professional Cuda Jobs (NOW HIRING)

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CUDA Engineering Expert

$80 - $100/hr

Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance ... At least 1 year of professional or graduate-level research experience working with GPUs * Strong ...

Nvidia

OR · On-site

$122K - $161K/yr

We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part ...

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Professional Cuda information

What is the difference between Professional Cuda vs Cuda Developer?

AspectProfessional CudaCuda Developer
Required CredentialsTypically requires a degree in Computer Science or related field, with certifications in CUDA programmingOften requires similar degrees and certifications, focusing on CUDA expertise
Work EnvironmentWorks in research labs, tech companies, or industries utilizing GPU computingWorks in software development teams, research, or hardware optimization projects
Industry UsageUsed across high-performance computing, AI, and scientific research sectorsCommonly employed in software development, gaming, and simulation industries

Both roles involve CUDA programming, but a Professional Cuda typically emphasizes advanced GPU computing skills in research or industry applications, while a Cuda Developer focuses on software development and optimization using CUDA technology. The roles often overlap, but the Professional Cuda may have a broader scope in high-performance computing projects.

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Infographic showing various Professional Cuda job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 55% As Needed, 5% Full Time, 28% Temporary, 8% Nights, and 1% Summer. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.
CUDA Kernel Optimization Specialist

CUDA Kernel Optimization Specialist

Mercor

San Francisco, CA • Remote

$80 - $120/hr

Full-time

Re-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: $80–$120/hour
Location: Remote

Role Responsibilities

  • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
  • Use profiler metrics like L2 cache hit rate, L2 throughput, and occupancy to guide kernel improvements.
  • Review GPU kernel implementations to identify bottlenecks without needing extensive algorithmic background.
  • Write, modify, and reason about C++17, Python, and GPU programming code.
  • Apply CUDA, HIP, and shader programming expertise to improve performance outcomes.
  • Document optimization decisions clearly, noting when specific profiler metrics are useful.

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 at least one GPU programming model like CUDA, HIP, Slang, HLSL, or GLSL.
  • At least 1 year of professional or graduate-level research experience with GPUs.
  • Strong understanding of GPU profiler performance metrics for kernel optimization.
  • Ability to optimize GPU kernels without deep prior context on every algorithm.

Preferred

  • Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization.
  • Experience optimizing kernels for NVIDIA Blackwell hardware.
  • Familiarity with NSight Compute.
  • Prior experience with GPU hardware organizations like 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 to get started.
  • Qualified applicants may be asked to 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.