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Gpu Programmer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

... 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 ...

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 11, 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.

More about GPU Programmer jobs
What cities are hiring for Gpu Programmer jobs? Cities with the most Gpu Programmer job openings:
What states have the most Gpu Programmer jobs? States with the most job openings for Gpu Programmer jobs include:
Infographic showing various Gpu Programmer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

Senior Software Engineer, GPU Performance

Google

Manhattan, NY • On-site

$134K - $177K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 188 rated software companies


Job description

Job Summary:
Google is a leading technology company that develops next-generation technologies impacting billions of users. 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 latest generation of GPUs that power Google’s most critical products and services, impacting billions of users worldwide.
• Address the most challenging performance bottlenecks through Google’s unparalleled access to the latest generation of GPUs, tooling, and a decade of experience building AI accelerators.
• Drive optimizations across Google’s GPU software stack from ML compiler cost model design to optimizing high performance GPU kernels to cross node model serving configurations.
• Influence the technical direction of the GPU software ecosystem at Google by collaborating with ML, compiler design, and systems architecture teams.
• Influence the deployment of Google’s GPU fleet by working with various product teams across Google.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• Experience with modern GPU architectures (NVIDIA, AMD, or other AI accelerators), memory hierarchies, and performance bottlenecks.
• Experience low-level GPU programming (CUDA, Triton, CUTLASS, etc.) and performance engineering techniques.
• Experience with modern LLMs and their deployment on AI accelerators.
Preferred:
• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc.).
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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