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Gpu Engineer Jobs (NOW HIRING)

Qualcomm

GPU SW Engineer

San Diego, CA · On-site

$148K - $183K/yr

Qualcomm Technologies, Inc. is a leading company in the tech industry, seeking a GPU SW Engineer to join their GPU Developer Tools team. The role involves designing and developing tools for profiling ...

Sciforium

GPU Kernel Engineer

San Francisco, CA · On-site

$190K - $250K/yr

About the role We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom ...

Anthropic

Performance Engineer, GPU

San Francisco, CA · On-site

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 ...

Sciforium

GPU Kernel Engineer

San Francisco, CA · On-site

$190K - $250K/yr

About the role We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom ...

Qualcomm

GPU Systems Driver Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: GPU System Driver Team are looking for talented software engineers to develop in-house GPU drivers to verify GPU function ...

Google

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 ...

Google

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 ...

Google

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 ...

Anthropic

Performance Engineer, GPU

San Francisco, CA · On-site

$280K - $850K/yr

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 ...

Google

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 ...

Nvidia

OR

We are now looking for a GPU Performance Engineer for Neural Reconstruction! NVIDIA is building the future of computer graphics, simulation, robotics, and embodied AI. Neural reconstruction and ...

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All JobsGpu Engineer Jobs

GPU Engineer information

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$39K

$101.8K

$137.5K

How much do gpu engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for gpu engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior GPU engineers, especially those with extensive experience, advanced skills in graphics architecture, and expertise in programming languages like C++ and CUDA, can earn $300,000 or more annually. High-level roles in large tech companies or specialized fields such as AI and machine learning often offer compensation at this level, particularly with bonuses and stock options included.

What engineers make $200,000 a year?

Senior GPU engineers, especially those with extensive experience, advanced skills in graphics architecture, and proficiency with tools like CUDA or Vulkan, can earn $200,000 or more annually. High-level roles in large tech companies or specialized fields such as AI or data centers often offer such compensation packages.

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

To thrive as a GPU Engineer, you need strong knowledge of computer architecture, proficiency in C/C++, and experience with parallel programming models such as CUDA or OpenCL, along with a degree in computer science, electrical engineering, or a related field. Familiarity with debugging tools, driver development, performance profiling utilities, and hardware simulation platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish top candidates. These skills ensure that GPU Engineers can develop high-performance solutions, efficiently troubleshoot hardware and software issues, and collaborate successfully in multidisciplinary environments.

What does a GPU engineer do?

A GPU engineer designs, develops, and optimizes graphics processing units and related hardware or software. They work on improving graphics performance, parallel processing, and computational efficiency, often using programming languages like C++ and tools such as CUDA or OpenCL. Their work supports applications in gaming, scientific computing, and machine learning.

What does a GPU Engineer do?

A GPU Engineer designs, develops, and optimizes graphics processing units (GPUs) for applications like gaming, artificial intelligence, and high-performance computing. They work on hardware architecture, driver development, and parallel computing optimizations to maximize performance. GPU Engineers collaborate with software developers, hardware designers, and researchers to improve graphics rendering, machine learning acceleration, and computational efficiency.

What engineer makes $500,000 a year?

Highly experienced GPU engineers working in top technology companies or specialized roles in graphics hardware development can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in hardware design, software optimization, and extensive industry experience.

What are some common challenges faced by GPU Engineers, and how are they addressed?

GPU Engineers often face challenges such as optimizing code for maximum parallel efficiency, debugging complex hardware-software interactions, and keeping pace with rapidly evolving GPU architectures. Addressing these issues typically requires a combination of deep architectural understanding, use of specialized profiling and debugging tools, and ongoing collaboration with hardware, software, and QA teams. Many companies provide ongoing training and encourage knowledge sharing within engineering teams to help individuals stay current and effectively tackle new technical hurdles. Overcoming these challenges not only sharpens technical expertise but also opens doors for career growth into architect, team lead, or principal engineer roles.

More about GPU Engineer jobs
What cities are hiring for Gpu Engineer jobs? Cities with the most Gpu Engineer job openings:
What are the most commonly searched types of Gpu Engineer jobs? The most popular types of Gpu Engineer jobs are:
What states have the most Gpu Engineer jobs? States with the most job openings for Gpu Engineer jobs include:
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GPU Engineer jobs near you
Infographic showing various Gpu Engineer job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
Systems Research Engineer Intern - GPU Programming (Fall 2026)

Systems Research Engineer Intern - GPU Programming (Fall 2026)

Together AI

San Francisco, CA • On-site

$58 - $63/hr

Other

Posted 25 days ago

Job description

About The Role

As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

Responsibilities
  • Optimize and fine-tune GPU code to achieve better performance and scalability
  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
  • Stay up-to-date with the latest advancements in GPU programming techniques and technologies
Requirements
  • Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
  • Knowledge of ML/AI applications and models
  • Knowledge of performance profiling and optimization tools for GPU programming
  • Excellent problem-solving and analytical skills
Internship Program Details

Our fall internship program spans over 12 to 16 weeks where you'll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th. 

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama.

Compensation

We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $63. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

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