Infrastructure Engineer, GPU & Compute

Jobtailor; California (MO); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor is seeking an experienced Infrastructure Engineer to own and evolve image management, deployment, and validation across bare-metal infrastructure. You will run test clusters, validate firmware and OS images on GPU-enabled systems, and support hardware qualification for next-gen platforms.

You will diagnose complex issues across GPUs, drivers, OS, and hardware, analyze performance with NVIDIA DCGM, and build automation for provisioning and validation.

Qualifications

• 5+ years of experience in infrastructure engineering or related roles.
• Strong Linux experience in production environments.
• Hands-on experience with GPU-enabled systems and 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.

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

Skills

Linux

Python

GPU‑enabled systems

Debugging

Tools

NVIDIA DCGM

IPMI

Redfish

PXE

Job description

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

Requirements

• 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