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Contract Software Engineer Gpu Jobs in California

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 ...

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 ... Working at the intersection of hardware and software, you'll implement state-of-the-art techniques ...

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Contract Software Engineer Gpu information

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

AspectContract Software Engineer GpuContract Software Engineer Cloud
Required CredentialsProficiency in GPU programming, CUDA, OpenCLExperience with cloud platforms, APIs, and cloud-specific tools
Work EnvironmentDeveloping high-performance GPU applications, often on specialized hardwareBuilding and deploying applications on cloud infrastructure, remote environments
Employer & Industry UsageTech companies, AI, gaming, scientific computingCloud service providers, SaaS companies, enterprise solutions
Search & Comparison IntentLooking for GPU-focused software engineering rolesSeeking cloud-based software engineering opportunities

The main difference between Contract Software Engineer Gpu and Contract Software Engineer Cloud lies in their focus areas. GPU roles emphasize high-performance computing and specialized hardware, while cloud roles focus on deploying and managing applications in cloud environments. Both require strong software development skills, but their tools and work settings differ significantly.

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Senior Systems Software Engineer - GPU Diagnostics

Nvidia

Santa Clara, CA

Full-time

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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