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Weekend Software Engineer Gpu Jobs (NOW HIRING)

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 ...

GPU Software Engineer Location: San Jose, CA Duration: 6+ months contract (Long Term) Roles and Responsibilities: * As a GPU Software Engineer, you will be equipped to develop GPU IP from the early ...

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 ...

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 ...

Sr. AI Software Engineer (GPU/C++)

Milpitas, CA · On-site

$139K - $184K/yr

They are seeking a Sr. AI Software Engineer with a focus on C++ and GPU to design and implement core infrastructure components that support AI/ML workloads across various frameworks and hardware ...

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 ...

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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Weekend Software Engineer Gpu information

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$63.5K

$147.5K

$205.5K

How much do weekend software engineer gpu jobs pay per year?

As of Aug 15, 2026, the average yearly pay for weekend 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 Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

What cities are hiring for Weekend Software Engineer Gpu jobs?

Cities with the most Weekend Software Engineer Gpu job openings:

What are the most commonly searched types of Software Engineer Gpu jobs?

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What states have the most Weekend Software Engineer Gpu jobs?

States with the most job openings for Weekend Software Engineer Gpu jobs include:

System Software Engineer, GPU Development Tools

Nvidia

Westford, MA • On-site

$179K - $213K/yr

Full-time

Re-posted 25 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you a hard-working GPU programmer? Do you want to help craft the architecture of future GPUs? A key part of NVIDIA's strength is our sophisticated software platforms and simulation environments that enable our incredible pace of delivering new technology to market. We are looking for ground-breaking, hardworking, and creative people to join a dynamic software team with high production-quality standards. Our work includes developing chip simulations in SW, chip test authoring languages and tools, and driving performance improvement. NVIDIA is continuously pushing the state of the art in chip development tools and infrastructure to enable the next generation of chips. In this position, you will develop the core infrastructure for modeling, analyzing, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models, and on simulations, emulations, and silicon for all our GPUs.

What you'll be doing:

  • As a member of the team, you will play a critical part in every stage of development of a GPU

  • Thrive at the interface between software drivers and the GPU simulation

  • You will become the specialist for running SW applications directly on simulated GPUs in diverse environments

  • Capture instrumentation requirements from GPU architects who research next-gen improvements

  • You will coordinate with GPU architects to enable functional and performance testing for the next architecture

  • Work closely with SW teams to help them deliver production-ready drivers when silicon goes to market.

  • In this role, you will improve the daily workflows of leading chip modelers and designers around the globe to help produce the next greatest generation of GPUs.

What we need to see:

  • Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience

  • 2+ years of relevant software development work experience

  • You understand the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan)

  • Ability to work across the GPU and driver stacks

  • Strong C++ programming capability are required

  • Knowledge of object-oriented design patterns are required

  • Excellent interpersonal skills

  • Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements

Ways to stand out from the crowd:

  • Experience with chip and/or system simulation

  • Strong Python scripting skills

  • Experience with farm compute tools/techniques like virtual machines, containers, distributed programming

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 21, 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.

What Nvidia employees say

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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