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Full Time Gpu Engineer Jobs (NOW HIRING)

Your ability to research and stay on top of cutting-edge papers will be vital in staying up-to-date with the latest advancements in AI model inference and GPU programming techniques. * Full-Time * On ...

Your ability to research and stay on top of cutting-edge papers will be vital in staying up-to-date with the latest advancements in AI model inference and GPU programming techniques. * Full-Time * On ...

Your ability to research and stay on top of cutting-edge papers will be vital in staying up-to-date with the latest advancements in AI model inference and GPU programming techniques. * Full-Time * On ...

Your ability to research and stay on top of cutting-edge papers will be vital in staying up-to-date with the latest advancements in AI model inference and GPU programming techniques. * Full-Time * On ...

Software Engineer, GPU

Mountain View, CA · On-site

$204K - $259K/yr

... Engineer. You will: * Develop high-performance GPU primitives and abstractions to enable Waymo to ... full-time position across US locations is listed below. Actual starting pay will be based on job ...

Senior Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$143.80K - $189.50K/yr

Experience low-level GPU programming (CUDA, Triton, CUTLASS, etc.) and performance engineering ... The US base salary range for this full-time position is $174,000-$252,000 bonus equity benefits.

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How much do full time gpu engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for full time gpu engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Full Time Gpu Engineer jobs? Cities with the most Full Time Gpu Engineer job openings:
What are the most commonly searched types of Gpu Engineer jobs? The most popular types of Gpu Engineer jobs are:
What states have the most Full Time Gpu Engineer jobs? States with the most job openings for Full Time Gpu Engineer jobs include:

Systems/GPU Research Engineer

Vast.ai

Bodega Bay, CA

$160K - $320K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago


Job description

About Us

Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.

We are a small, growing, and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the company's mission. Leadership is earned by those who show initiative and deliver excellence.

We seek engineers/researchers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of excellent research, coding, and communication skills.

LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.

About the Role

As a systems/GPU engineer, you will play a crucial role in developing new kernels and algorithms that can improve inference for AI models. You will help develop new high-performance tensor libraries and auto-optimization tools. Collaborating directly with our technical founder and diverse team, you will enhance the performance and efficiency of our AI systems. Your ability to research and stay on top of cutting-edge papers will be vital in staying up-to-date with the latest advancements in AI model inference and GPU programming techniques.

  • Full-Time
  • On-site at either our SF or LA offices
Tech Stack

CUDA/C++, GPGPU, Python, Linux

Ideal Experience
  • Expertise in systems engineering across the tech stack
  • Deep understanding of GPU architectures
  • Strong holistic background in neural network performance and tooling
  • Published research at top AI conferences
Key Responsibilities
  • Develop or extend parallel generic GPU libraries and kernels
  • Help design and deploy market-based resource management systems
  • Quickly investigate and summarize options for new system architectures
  • Prototype and evaluate novel state-of-the-art methods/models
  • Investigate and learn new frameworks and tools
Interview Process

After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:

  • Initial screening (virtual, 15 minutes)
  • Quick dive into Vast, systems and architectures (virtual, 30 minutes)
  • LLM-assisted coding assessment (virtual, 1 hour)
  • Meet and greet with coding assessment (on-site, 2 hours)
Our goal is to complete the interview process in two weeks.Annual Salary Range

$160,000 – $320,000 + equity + benefits

Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.

Benefits
  • Comprehensive health, dental, vision, and life insurance
  • 401(k) with company match
  • Meaningful early-stage equity
  • Onsite meals, snacks, and close collaboration with founders/tech leaders
  • Ambitious, fast-paced startup culture where initiative is rewarded