ZipRecruiter

Log In

1

Professional Cuda Jobs (NOW HIRING)

Mercor

CUDA Engineer - Kernel Optimization

San Francisco, CA · Remote

$241K/yr

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 ...

New

Weekday AI

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 ...

next page

Showing results 1-20

All JobsProfessional Cuda Jobs

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.

Is professional Cuda in high demand?

Professional CUDA developers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, data science, and high-performance computing. Skills in parallel programming, CUDA toolkit, and GPU architecture are highly valued by employers across various industries.
More about Professional Cuda jobs

What cities are hiring for Professional Cuda jobs?

Cities with the most Professional Cuda job openings:

What are the most commonly searched types of Cuda jobs?

The most popular types of Cuda jobs are:

What states have the most Professional Cuda jobs?

States with the most job openings for Professional Cuda jobs include:

What job categories do people searching Professional Cuda jobs look for?

The top searched job categories for Professional Cuda jobs are:

Professional Cuda jobs near you
Infographic showing various Professional Cuda job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

CUDA Engineer - Kernel Optimization

Mercor

San Francisco, CA • Remote

$241K/yr

Full-time

Posted yesterday

New

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.