Vast.ai · 2 weeks ago
GPU Systems Engineer – HPC / Parallel Computing
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$160K/yr - $320K/yrVast.ai is a cloud computing company focused on democratizing AI projects worldwide. They are seeking a GPU Systems Engineer with HPC or parallel programming experience to optimize GPU performance and scale AI inference solutions.
AI InfrastructureArtificial Intelligence (AI)Cloud ComputingGPUMachine Learning
Responsibilities
Design and optimize GPU kernels and tensor libraries
Translate HPC techniques into scalable AI inference solutions
Evaluate emerging architectures and resource management approaches
Collaborate with technical leadership to improve GPU infrastructure efficiency
Qualification
Required
HPC or parallel programming experience
Knowledge of high-performance systems to optimize GPU performance
Design and optimize GPU kernels and tensor libraries
Translate HPC techniques into scalable AI inference solutions
Evaluate emerging architectures and resource management approaches
Collaborate with technical leadership to improve GPU infrastructure efficiency
Advanced C++ (C++17/20 preferred)
Expertise with at least one parallel framework (CUDA, HIP, SYCL, OpenCL, OpenACC, or similar)
Strong background in systems optimization and HPC performance tooling
Preferred
Familiarity with distributed training/inference frameworks (bonus)
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
Company
Vast.ai
Global GPU rental platform for saving 5-6X on GPU compute using one simple interface.
Founded in 2016
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$4MKey Investors
DRW Venture Capital
2024-07-12Seed· $4M
Leadership Team
Travis Cannell
CMO
Recent News
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