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Gpu Programmer Jobs (NOW HIRING)

About the Role As a systems/GPU engineer, you will play a crucial role in developing new kernels and algorithms that can improve inference for AI models. You will help develop new high-performance ...

Senior Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$143K - $188K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

About the Role As a systems/GPU engineer, you will play a crucial role in developing new kernels and algorithms that can improve inference for AI models. You will help develop new high-performance ...

Senior Software Engineer, GPU Performance

Manhattan, NY · On-site

$134K - $177K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

... GPU programming (CUDA, Triton, CUTLASS, etc.) and performance engineering techniques. Preferred : • Master's degree or PhD in Engineering, Computer Science, or a related technical field. • 8 ...

GPU Performance Engineer

San Diego, CA · On-site

$87K - $116K/yr

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Senior Software Engineer, GPU Performance

Seattle, WA · On-site

$139K - $183K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

Senior Software Engineer, GPU Performance

Kirkland, WA · On-site

$139K - $183K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

We are looking for a Senior Researcher - GPU Performance - Hardware/Software Codesign researcher to ... Reliable C++ programming skills. Other Requirements: Ability to meet Microsoft, customer and/or ...

As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...

Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$164K/yr

Experience low-level GPU programming (CUDA, Triton, CUTLASS, etc.) and performance engineering techniques. * Experience with modern GPU architectures (NVIDIA, AMD, or other AI accelerators), memory ...

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Gpu Programmer information

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How much do gpu programmer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for gpu programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

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

To thrive as a GPU Programmer, you need a solid background in computer science, experience with parallel computing concepts, and proficiency in GPU programming languages like CUDA or OpenCL. Familiarity with development tools such as NVIDIA Nsight, profiling utilities, and version control systems is typically required, while relevant certifications in GPU computing can be beneficial. Strong problem-solving ability, collaboration skills, and attention to detail help differentiate top performers in this field. These skills are essential for optimizing code performance, successfully working in dynamic teams, and meeting the high computational demands of modern applications.

What are the typical daily responsibilities of a GPU Programmer?

As a GPU Programmer, your daily tasks often involve designing, developing, and optimizing algorithms that leverage GPU architectures for increased performance in applications such as graphics rendering, scientific computing, or machine learning. You will routinely write and debug parallel code, profile workloads to find bottlenecks, and collaborate with software engineers, data scientists, and hardware specialists to integrate GPU-accelerated solutions. Documentation and code reviews are also important parts of your routine to ensure maintainability and knowledge sharing within the team. This role typically combines independent project work with regular cross-disciplinary collaboration, making adaptability and teamwork key to success.

What does a GPU Programmer do?

A GPU Programmer specializes in writing and optimizing code that runs on Graphics Processing Units (GPUs). They use parallel computing techniques and languages like CUDA or OpenCL to accelerate tasks such as graphics rendering, scientific simulations, and machine learning. Their work involves optimizing performance, managing memory efficiently, and ensuring compatibility across different hardware architectures.

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What cities are hiring for Gpu Programmer jobs? Cities with the most Gpu Programmer job openings:
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What job categories do people searching Gpu Programmer jobs look for? The top searched job categories for Gpu Programmer jobs are:
Infographic showing various Gpu Programmer job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 76% Full Time, and 18% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

Systems/GPU Research Engineer

Vast.ai

Los Angeles, CA • On-site

$160K - $320K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Job description

About Us

Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing-reshaping our future for the benefit of humanity.

We are a small, growing, and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the company's mission. Leadership is earned by those who show initiative and deliver excellence. 

We seek engineers/researchers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of excellent research, coding, and communication skills.

LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.

About the Role

As a systems/GPU engineer, you will play a crucial role in developing new kernels and algorithms that can improve inference for AI models. You will help develop new high-performance tensor libraries and auto-optimization tools. Collaborating directly with our technical founder and diverse team, you will enhance the performance and efficiency of our AI systems. Your ability to research and stay on top of cutting-edge papers will be vital in staying up-to-date with the latest advancements in AI model inference and GPU programming techniques.

  • Full-Time
  • On-site at either our SF or LA offices
Tech Stack

C++/CUDA, GPGPU, Python, Linux

Ideal Experience
  • Expertise in systems engineering across the tech stack
  • Deep understanding of GPU architectures
  • Strong holistic background in neural network performance and tooling
  • Published research at top AI conferences
Key Responsibilities
  • Develop or extend parallel generic GPU libraries and kernels
  • Help design and deploy market-based resource management systems 
  • Quickly investigate and summarize options for new system architectures
  • Prototype and evaluate novel state-of-the-art methods/models
  • Investigate and learn new frameworks and tools
Interview Process

After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:

  • Initial screening (virtual, 15 minutes)
  • Quick dive into Vast, systems and architectures (virtual, 30 minutes)
  • LLM-assisted coding assessment (virtual, 1 hour)
  • Meet and greet with coding assessment (on-site, 2 hours)
Our goal is to complete the interview process in two weeks.Annual Salary Range

$160,000 - $320,000 + equity + benefits

Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.

Benefits
  • Comprehensive health, dental, vision, and life insurance
  • 401(k) with company match 
  • Meaningful early-stage equity
  • Onsite meals, snacks, and close collaboration with founders/tech leaders
  • Ambitious, fast-paced startup culture where initiative is rewarded