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Gpu Engineer Salary Jobs (NOW HIRING)

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 ... Flexible time off * Competitive salary and equity Equal opportunity Sciforium is an equal ...

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 ... Annual Salary: $280,000-$850,000 USD Logistics Minimum education: Bachelor's degree or an ...

Nvidia

Senior Compiler Engineer - Rust GPU

Seattle, WA · On-site

$139K - $183K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... With competitive salaries and a generous benefits package, we are widely considered to be one of ...

Nvidia

Senior Compiler Engineer - Rust GPU

Santa Clara, CA

$143K - $189K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... With competitive salaries and a generous benefits package, we are widely considered to be one of ...

Nvidia

OR

We are now looking for a GPU Performance Engineer for Neural Reconstruction! NVIDIA is building the ... The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for ...

Nvidia

Senior Compiler Engineer - Rust GPU

Austin, TX · On-site

$121K - $160K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... With competitive salaries and a generous benefits package, we are widely considered to be one of ...

Nvidia

We are now looking for a GPU Performance Engineer for Neural Reconstruction! NVIDIA is building the ... The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for ...

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All JobsGpu Engineer Salary Jobs

Gpu Engineer Salary information

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$39K

$101.8K

$137.5K

How much do gpu engineer salary jobs pay per year?

As of Jul 26, 2026, the average yearly pay for gpu engineer salary 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 is the difference between Gpu Engineer Salary vs Hardware Engineer Salary?

AspectGpu Engineer SalaryHardware Engineer Salary
Average Annual Salary$110,000 - $150,000$85,000 - $125,000
Required CredentialsBachelor's or Master's in Computer Engineering, Electrical Engineering, or related fieldsBachelor's or Master's in Electrical, Computer, or Mechanical Engineering
Work EnvironmentTech companies, R&D labs, semiconductor firmsElectronics manufacturing, tech companies, R&D labs
Industry UsageDesigning and optimizing GPU hardware and softwareDesigning and testing electronic hardware components

Gpu Engineers and Hardware Engineers share similar educational backgrounds and work environments, but Gpu Engineers focus specifically on GPU hardware and software optimization, often earning higher salaries due to specialized skills in graphics processing and parallel computing.

What is the average salary of a GPU engineer?

The average salary of a GPU engineer in the United States typically ranges from $110,000 to $170,000 per year, depending on factors such as experience, education, location, and the company. Entry-level GPU engineers may start at a lower salary, while those with several years of experience or working at top tech firms can earn significantly more. Additional compensation such as bonuses, stock options, and benefits may also be included in the total compensation package.

What factors can influence the salary of a GPU Engineer in the tech industry?

The salary of a GPU Engineer can vary based on several factors including years of experience, level of education, and the specific industry or company. Professionals working for large technology firms or semiconductor companies often command higher salaries, especially if they possess expertise in advanced GPU architecture or parallel computing. Geographic location also plays a significant role, with positions in major tech hubs such as Silicon Valley typically offering higher compensation. Additionally, skills in popular programming languages (like CUDA or OpenCL) and experience with machine learning or AI projects can further boost earning potential.

What are the key skills and qualifications needed to thrive as a GPU Engineer, and why are they important?

To thrive as a GPU Engineer, you need a strong background in computer engineering or computer science, with expertise in GPU architectures, parallel programming, and low-level programming languages such as C/C++. Familiarity with tools and frameworks like CUDA, OpenCL, and hardware description languages, as well as experience with performance profiling systems, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top candidates apart. These skills and qualities are crucial for designing, optimizing, and troubleshooting high-performance GPUs that power modern computing and graphics applications.
More about Gpu Engineer Salary jobs
What cities are hiring for Gpu Engineer Salary jobs? Cities with the most Gpu Engineer Salary job openings:
What states have the most Gpu Engineer Salary jobs? States with the most job openings for Gpu Engineer Salary jobs include:
What job categories do people searching Gpu Engineer Salary jobs look for? The top searched job categories for Gpu Engineer Salary jobs are:
Gpu Engineer Salary jobs near you
Infographic showing various Gpu Engineer Salary job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
Systems Research Engineer, GPU Programming

Systems Research Engineer, GPU Programming

Together AI

San Francisco, CA • On-site, Remote

$160K - $230K/yr

Other

Medical

Posted 4 days ago

Job description

About the Role

As a Systems Research Engineer 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.

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
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences
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
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, hardware, 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 advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges 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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