GPU & ML Infrastructure Engineer
About this role
Role overview
Svitla Systems Inc. is looking for a GPU & ML Infrastructure Engineer for a full-time position (40 hours per week) in the USA. Our client is a stealth startup. The successful candidate will own the end-to-end data generation process for GPU systems, including benchmark workloads, automated deployment, hardware telemetry collection, data quality validation, and dataset delivery. The role requires working with multiple NVIDIA data-center GPU generations and embedded or edge platforms.
Requirements
- Strong experience deploying LLM inference and training workloads on GPUs, including quantized models.
- Experience diagnosing sensor, logging, and sampling issues in time-series hardware data.
- Ability to build reproducible GPU workloads and control sources of run-to-run variation.
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