GPU & ML Infrastructure Engineer — Remote

Svitla Systems, Inc.; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work option

Job summary

Svitla Systems, Inc. is seeking a GPU & ML Infrastructure Engineer for a full-time position in the USA. The role leads the end-to-end data generation process for GPU systems, including benchmarks, automated deployment, hardware telemetry collection, data quality validation, and dataset delivery.

The successful candidate will work with multiple NVIDIA data-center GPU generations and edge platforms, overlapping with the client’s team until 11:00 a.m. PST.

Qualifications

• :

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 inconsistencies, missing sensor data, and logging anomalies.
• Automate workload deployment, execution, data collection, and environment cleanup.
• Build automated checks for missing samples, irregular intervals, clock mismatches, and invalid telemetry.
• Deliver datasets in a consistent and documented format with complete run metadata.
• Document hardware targets, configurations, procedures, driver versions, and firmware versions.

Skills

LLM workloads on GPUs

Linux systems

Python automation

Hardware telemetry

GPU driver stacks

NVML/DCGM/IPMI/Redfish telemetry

Benchmark workloads

Tools

NVML

DCGM

BMC

IPMI

Redfish

Job description

Svitla Systems, Inc. is seeking a GPU & ML Infrastructure Engineer for a full-time position in the USA. The role leads the end-to-end data generation process for GPU systems, including benchmarks, automated deployment, hardware telemetry collection, data quality validation, and dataset delivery.

The successful candidate will work with multiple NVIDIA data-center GPU generations and edge platforms, overlapping with the client’s team until 11:00 a.m. PST.