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Full Time Gpu Engineer Jobs (NOW HIRING)

Vast.ai Inc

Systems/GPU Research Engineer

San Francisco, CA · On-site

$160K - $320K/yr

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 ...

Waymo

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 ...

Qualcomm

Technical Program Manager - GPU AI

San Diego, CA · On-site

$171K - $256K/yr

This role is based in San Diego, CA and requires full-time onsite work (5 days per week). What You Will Be Doing * Lead program management for GPU AI activities across GPU engineering teams. * Drive ...

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As of Aug 10, 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.
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Systems/GPU Research Engineer

Vast.ai Inc

San Francisco, CA • On-site

$160K - $320K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 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 growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.
We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, 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
C++/CUDA, 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.
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

Apply