ZipRecruiter

Log In

1

Weekend Software Engineer Gpu Jobs (NOW HIRING)

Xoriant Corporation

GPU Software Engineer

San Jose, CA · On-site

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 ...

Xoriant Corporation

GPU Software Engineer

Austin, TX · On-site

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 ...

Xoriant Corporation

GPU Software Engineer

Austin, TX · On-site

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 ...

KLA

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 ...

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 ...

Nvidia

OR · On-site

We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key ...

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 ...

next page

Showing results 1-20

All JobsWeekend Software Engineer Gpu Jobs

Weekend Software Engineer Gpu information

See salary details

$63.5K

$147.5K

$205.5K

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

As of Jul 5, 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? The most popular types of Software Engineer Gpu jobs are:
What states have the most Weekend Software Engineer Gpu jobs? States with the most job openings for Weekend Software Engineer Gpu jobs include:
Weekend Software Engineer Gpu jobs near you
Senior Systems Software Engineer - GPU Diagnostics

Senior Systems Software Engineer - GPU Diagnostics

Nvidia

Santa Clara, CA

Full-time

Posted 6 days 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 March 3, 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

View All Nvidia Jobs

Apply