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Software Engineer Gpu Jobs (NOW HIRING)

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 ...

Baseten

Software Engineer - GPU Kernels

Manhattan, NY · On-site

Job Summary : Baseten powers mission-critical inference for the world's most dynamic AI companies and is seeking a GPU Kernel Engineer to join their team. This role involves designing high ...

Futran Tech Solutions Pvt. Ltd.

GPU Software Engineer

$138K - $185K/yr

GPU Software Engineer Location: USA(Remote) Role Summary We are seeking expert-level GPU Software Engineers to support a high-visibility platform initiative within the Maya program, focused on ...

Nvidia

Software Engineer, GPU Performance Tools

Hillsboro, OR · On-site

$152K/yr

NVIDIA's GPU Architecture Group is seeking an outstanding Software Engineer to advance the state of the art in GPU performance tools. This role offers the opportunity to develop innovative profiling ...

Nebius

Senior Systems Software Engineer, GPU Compute

$125K - $165K/yr

The role We're looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is ...

Google

Senior Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$143K - $189K/yr

Experience with compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc.). About the job Google's software engineers develop the next-generation ...

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All JobsSoftware Engineer Gpu Jobs

Software Engineer Gpu information

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$63.5K

$147.5K

$205.5K

How much do software engineer gpu jobs pay per year?

As of Jul 7, 2026, the average yearly pay for software engineer gpu in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Software Engineer Gpu vs Software Engineer?

AspectSoftware Engineer GpuSoftware Engineer
Required SkillsGPU programming, parallel computing, CUDA/OpenCLGeneral software development, algorithms, coding
Work EnvironmentHigh-performance computing, graphics, AIWeb, mobile, enterprise applications
CertificationsCUDA certifications, relevant degreesVaries widely, often general CS degrees
Industry UsageGraphics, AI, scientific computingSoftware development across industries

Software Engineer Gpu specializes in GPU-based programming for high-performance tasks, while a Software Engineer has a broader focus on general software development. Both roles require strong coding skills, but GPU engineers focus more on parallel processing and graphics technologies. The choice depends on your interest in graphics and high-performance computing versus general software development.

How does a Software Engineer specializing in GPU typically collaborate with hardware and other engineering teams?

As a Software Engineer focusing on GPU, you will frequently work closely with hardware engineers, driver developers, and performance analysts. Collaboration often involves optimizing software to leverage GPU capabilities, troubleshooting performance bottlenecks, and ensuring compatibility with evolving hardware architectures. Effective communication and cross-functional teamwork are essential, as solutions often require aligning software design with hardware constraints and roadmaps. This collaborative environment not only broadens your technical understanding but also provides opportunities to learn from diverse engineering disciplines.

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

To thrive as a Software Engineer GPU, you need strong programming skills in C/C++, parallel computing concepts, and a solid background in computer science or related fields. Familiarity with GPU programming frameworks such as CUDA or OpenCL, version control systems, and performance profiling tools is typically required. Analytical thinking, problem-solving abilities, and effective teamwork are essential soft skills for excelling in this role. These competencies ensure the development of optimized, high-performance software that leverages GPU architectures for demanding computational tasks.

What are Software Engineer GPU roles?

A Software Engineer GPU is a specialist who designs, develops, and optimizes software that runs on Graphics Processing Units (GPUs). These engineers focus on maximizing the performance of applications—such as graphics rendering, machine learning, or scientific computation—by leveraging the parallel processing power of GPUs. They often work with languages like CUDA or OpenCL and collaborate with hardware teams to ensure efficient integration of software and GPU hardware. Their work is vital in industries like gaming, AI, automotive, and high-performance computing.
What cities are hiring for Software Engineer Gpu jobs? Cities with the most Software Engineer Gpu job openings:
What are the most commonly searched types of Software Engineer Gpu jobs? The most popular types of Software Engineer Gpu jobs are:
What states have the most Software Engineer Gpu jobs? States with the most job openings for Software Engineer Gpu jobs include:
Software Engineer Gpu jobs near you
Infographic showing various Software Engineer Gpu job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer, GPU Design Automation

Software Engineer, GPU Design Automation

Nvidia

Santa Clara, CA

Full-time

Posted 5 days ago

Job description

NVIDIA's GPU Architecture Group is looking for a software engineer to further modernize and scale GPU development. As GPU designs become more complex, our hardware models, testbenches, build scripts, and code generation flows need to keep adapting to this complexity. The development workflow will be parameterized and data-driven, so it adapts without manual rework. You'll apply modern software engineering techniques, including AI-assisted development, to a hardware domain where these practices can have outsized impact, and help spread those ways of working across a broader team. This role offers a unique opportunity to influence how one of the world's most advanced chips are developed!

What You'll Be Doing:

  • Design and build automation to scale GPU development processes across hardware models, testbenches, and build systems.

  • Develop and extend code generation flows that automate configuration and adapt to new designs without manual rework.

  • Refactor and improve large, complex codebases to be more parameterized, data-driven, and maintainable.

  • Collaborate with ASIC design and architecture teams to align on automation approaches.

  • Adapt modern software engineering workflows to GPU architecture development and find opportunities to set a higher standard.

  • Establish and maintain high standards for software quality and consistency across shared infrastructure.

What We Need to See:

  • B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)

  • Strong software engineering fundamentals and programming skills(Python, C++, or similar)

  • Experience with build systems, code generation, or design automation flows

  • 3 years or more experience in relevant roles

  • Motivation to engage with and refine sizable, complicated codebases - converting legacy systems into maintainable, well-structured infrastructure

  • Familiarity with hardware development workflows (modeling, verification, or similar)

  • Up to date with modern software engineering methods including CI and AI-powered tooling

  • Effective collaboration skills for working across team and functional boundaries (architecture, ASIC, software)

Ways to Stand Out from the crowd:

  • Experience building or maintaining hardware build automation infrastructure at scale

  • Background in parameterized code generation or template driven build systems

  • Track record of improving developer efficiency through tooling and automation

  • Familiarity with GPU or ASIC development processes

  • Experience with configuration management for complex hardware IP

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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