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Infrastructure Engineer, GPU & Compute
Job in
California, Moniteau County, Missouri, 65018, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Systems Engineer, Unix/Linux, IT Infrastructure
Job Description & How to Apply Below
Responsibilities
- Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
- Run and maintain test clusters used for system validation, diagnostics, and bring-up
- Validate firmware, drivers, and OS images across compute and GPU-enabled systems
- Support hardware qualification efforts for next-generation platforms
- Own GPU diagnostics and validation workflows across large-scale infrastructure
- Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
- Analyze system and GPU performance using tools such as NVIDIA DCGM
- Identify failure patterns and drive improvements in system stability and validation coverage
- Build and maintain automation for provisioning, validation, and system bring-up
- Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
- Improve the reliability, repeatability, and scalability of image pipelines and validation systems
- Manage and operate Linux-based systems in production and validation environments
- Manage virtualization technology
- Support bare-metal provisioning workflows, including PXE and image-based systems
- Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging
- Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
- Collaborate with platform and ML teams to ensure systems meet workload requirements
- Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure
- 5+ years of experience in infrastructure engineering, systems engineering, or related roles
- Strong Linux systems experience in production environments
- Hands‑on experience with GPU‑enabled systems and tools such as NVIDIA DCGM
- Familiarity with bare‑metal provisioning and system bring‑up workflows
- Proficiency in Python or similar scripting/programming languages for automation
- Ability to debug complex issues across hardware, OS, GPUs, and system software
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