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GPU Systems Engineer – HPC / Parallel Computing
Vast.ai
San Francisco, USA
Full-time
Senior
Onsite
USD 160000-320000 yearly / year
Discovered 1 weeks ago
CUDAC++GPGPUPythonLinuxC++17
Free
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CUDAC++GPGPU
Role Overview
We’re looking for a systems engineer with HPC or parallel programming experience to help scale AI inference. You’ll leverage your knowledge of high-performance systems to optimize GPU performance at the bleeding edge of AI.
Full-Time
On-site at either our SF or LA offices
Key Skills for This Role
CUDAC++GPGPUPythonLinuxC++17
Full Job Posting
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
We’re looking for a systems engineer with HPC or parallel programming experience to help scale AI inference. You’ll leverage your knowledge of high-performance systems to optimize GPU performance at the bleeding edge of AI.
Full-Time
On-site at either our SF or LA offices
Tech Stack
CUDA/C++, GPGPU, Python, Linux
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