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Contract Cuda Developer Jobs in California (NOW HIRING)

MatchPoint Solutions

Embedded AI Engineer

Sunnyvale, CA · On-site

$156K - $206K/yr

Embedded AI Engineer Location: Sunnyvale, CA Employment Type: 6+ Month Extendable Contract Pay ... Key Responsibilities: • Validate PyTorch-based LLMs on company-specific AI processors using CUDA ...

Codvo.ai

$203K/yr

We are looking for a highly motivated and technically proficient Edge AI Engineer with a strong ... Strong experience in CUDA, C++ writing drivers with contract manufactured Edge AI devices with ...

Reliance One

Computer Vision Engineer

Mountain View, CA

$70 - $75/hr

Contract Opportunity Pay: $70.00-$75.00/hour Schedule: Full-time Benefits: Medical Benefits Begin ... Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or other inference optimization frameworks.

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

... CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ... as well as contract-specific affordability and organizational requirements. The projected ...

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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.

What are popular job titles related to Contract Cuda Developer jobs in California? For Contract Cuda Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Cuda Developer jobs in California look for? The top searched job categories for Contract Cuda Developer jobs in California are:
What cities in California are hiring for Contract Cuda Developer jobs? Cities in California with the most Contract Cuda Developer job openings:
Contract Cuda Developer jobs near you
CUDA Kernel Optimization Specialist

CUDA Kernel Optimization Specialist

Mercor

San Francisco, CA • Remote

$80 - $120/hr

Full-time

Posted 14 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.