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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
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.
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.
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More from this employer
San Francisco, USA
San Francisco, USA
Los Angeles, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
Los Angeles, USA
San Francisco, USA
Los Angeles, USA
Full-Time
On-site at either our SF or LA offices
C++/CUDA, GPGPU, Python, Linux
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
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)
Verified company details for this employer are not available yet.
USD 160000-320000 yearly / year
Full-time
Senior
Onsite
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