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Software Engineer Gpu Jobs (NOW HIRING)

Xoriant Corporation

GPU Software Engineer

Austin, TX

GPU Software Engineer Location: Austin, TX Duration: Long Term Contract Roles and Responsibilities: * As a GPU Software Engineer, you will be equipped to develop GPU IP from the early Architectural ...

Nvidia

OR · On-site

$122.40K - $161.30K/yr

As a GPU system software engineer, you will work with a team of versatile software and hardware engineers involving a wide variety of technologies. You will play a key role in power management ...

Xoriant Corporation

GPU Software Engineer

Austin, TX

GPU Software Engineer Location: Austin, TX Duration: Long Term Contract Roles and Responsibilities: * As a GPU Software Engineer, you will be equipped to develop GPU IP from the early Architectural ...

Nvidia

System Software Engineer - GPU and SOC

Redmond, WA

$193.80K - $229.60K/yr

As a GPU/SOC system software engineer, you will work with a team of very dedicated software and hardware engineers involving a wide variety of technologies. As someone who is hardworking and ...

Nebius

Lead Software Systems Engineer - GPU Performance

$170K - $300K/yr

We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the ...

Anthropic

Performance Engineer, GPU

San Francisco, CA

As a GPU Performance Engineer, you'll architect and implement the foundational systems that power ... Working at the intersection of hardware and software, you'll implement state-of-the-art techniques ...

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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 May 30, 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 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.

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 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 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.

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 May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 96% Physical, and 4% Hybrid job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Senior Systems Software Engineer - GPU Diagnostics

Senior Systems Software Engineer - GPU Diagnostics

Nvidia

Santa Clara, CA

Full-time

Posted 13 hours ago

Job description

At NVIDIA, 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

We are searching for outstanding senior system software engineer to join the NVIDIA's GPU Diagnostics SW team. Our charter is to develop the most demanding applications a GPU or high-performance computing server will encounter in its lifecycle, working closely with kernel driver team, GPU architecture team, system design team, and manufacturing organizations. The best candidates will have strong C++ programming skills, detailed knowledge of device programming, algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level.

What You'll Be Doing:

  • Design, implement, unit test and debug changes in the NVIDIA SW stack to take next-gen HW from design / development stage to production.

  • Be heavily involved in emulation, bring-up, and product hardening required to build our groundbreaking products

  • You will follow the devices all the way from manufacturing through the development process to datacenter systems, customer desktops, notebooks and workstations.

  • Tackle a variety of problems that directly impact NVIDIA's end users and partner OEMs.

  • This job will require a deep understanding of our hardware and software architectures.

What We Need to See:

  • BS or MS degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.

  • Excellent programming skills and proficiency in C/C++ language, libraries, and toolchains.

  • 5+ years hands-on experience developing low level systems software, preferably using Linux OS.

  • Strong software engineering skills combined with a drive to solve hard problems are a must.

  • Familiarity with computer system architecture, microprocessor and fundamentals (caches, buses, memory controllers, DMA, etc.)

  • Previous experience of working on a large system software code base is preferable.

  • Good written and verbal communication skills, along with strong collaborative and networking abilities.

  • Proven ability to thrive in high-pressure, fast-paced development environments, especially during critical project phases.

  • Ability to self-manage, show leadership, and have good interpersonal skills

  • Demonstrated proficiency using modern AI productivity tools to streamline day-to-day work, improve quality, and automate routine tasks.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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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