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.
- Strong Linux systems knowledge, including GPU driver stacks, process orchestration, scheduling, and timing.
- Experience collecting hardware telemetry programmatically using NVML, DCGM, BMC, IPMI, or Redfish.
- Strong Python skills for automation, telemetry collection, and data processing.




- Experience automating workload deployment and data collection across different hardware platforms.
- Ability to work independently and take ownership of technical processes.
- Availability to overlap with the client’s team until 11:00 a.m. PST.

Nice to have
- Experience building data collection pipelines for hardware testing or systems research.
- Familiarity with GPU benchmarking, stress testing, and benchmark methodology.
- Knowledge of GPU power, thermal management, multi-GPU scaling, and NCCL.
- Experience building automated data quality checks for time-series or sensor data.

Responsibilities
- Port existing test procedures to new data-center GPUs and edge devices.
- Build and maintain GPU benchmark workloads, including synthetic kernels and LLM inference and training.
- Ensure telemetry collection is accurate and consistent across platforms and data sources.
- Investigate sampling issues, timestamp

📌 GPU & ML Infrastructure Engineer (Argentina)
🏢 Svitla Systems
📍 Argentina