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Cuda Developer Jobs in California (NOW HIRING)

CUDA Developer - Remote

Los Angeles, CA ยท Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

CUDA Developer - Remote

San Francisco, CA ยท Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

CUDA Developer - Remote

San Jose, CA ยท Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

CUDA Developer - Remote

Palo Alto, CA ยท Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

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Showing results 1-20

Cuda Developer information

See California salary details

$47.4K

$110.4K

$163.8K

How much do cuda developer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for cuda developer in California is $110,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $128,300.00 per year, depending on experience, location, and employer.

What is a Cuda developer?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

What are some common challenges faced by Cuda developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What are the most commonly searched types of Cuda Developer jobs in California?

The most popular types of Cuda Developer jobs in California are:

What job categories do people searching Cuda Developer jobs in California look for?

The top searched job categories for Cuda Developer jobs in California are:

What cities in California are hiring for Cuda Developer jobs?

Cities in California with the most Cuda Developer job openings:

Infographic showing various Cuda Developer job openings in California as of August 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $110,380 per year, or $53.1 per hour.

CUDA Developer - Remote

Los Angeles, CA โ€ข Remote

$60 - $100/hr

Full-time

Posted 4 days ago


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.