Vast.ai · 5 months ago
GPU Systems Engineer - HPC / Parallel Computing
San Francisco, CA, US
Full-time
Onsite
Mid, Senior Level
$160K/yr - $320K/yrVast.ai's cloud powers AI projects and businesses all over the world, and they are seeking a systems engineer with HPC or parallel programming experience to help scale AI inference. The role involves optimizing GPU performance and collaborating with technical leadership to enhance GPU infrastructure efficiency.
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
Advanced C++
Expertise with at least one parallel framework (CUDA, HIP, SYCL, OpenCL, OpenACC, or similar)
Strong background in systems optimization and HPC performance tooling
Preferred
C++17/20 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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