GPU Linux Systems Engineer

Vero; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Equity Scheme

401(k) with generous employer match

Company-paid Life Insurance

Flexible Spending Account

Flexible PTO

Job summary

Vero is hiring a GPU Linux Systems Engineer to manage large-scale GPU platforms powering AI workloads. You will provision, validate, and troubleshoot GPU servers across racks and regions, ensuring high-performance infrastructure.

Remote work from the US is supported, with a bonus structure and equity options. Role requires Linux HPC expertise, GPU infra admin skills, and experience with Slurm/Kubernetes, plus strong collaboration and problem-solving abilities in mission-critical environments.

Qualifications

• Linux HPC expertise required for managing GPU clusters.
• Experience administering GPU-focused infrastructure.
• Proficiency with Slurm workload manager.
• Experience with Kubernetes deployments.
• Familiarity with networking, storage, and performance tuning.
• Strong problem-solving and collaborative approach to mission-critical environments.

Responsibilities

• Perform node imaging, bring-up, health checks, and lifecycle management across GPU systems.
• Run GPU validation, including health checks, NVLink validation, NCCL tests, and performance benchmarking.
• Monitor system health, troubleshoot issues, and ramp complex faults.
• Maintain accurate configuration, inventory, and fleet records.
• Support deployment of new racks, clusters, and regional expansions.
• Improve automation, runbooks, and operational processes.

Skills

Linux HPC expertise

GPU infra administration

Slurm

Kubernetes

Networking & storage tuning

Tools

Slurm

Kubernetes

Networking

Storage

Job description

GPU Linux Systems Engineer required by one of the most exciting, well-resourced AI infrastructure startups in the world. The business works in close partnership with NVIDIA and other organisations shaping the future of data centres and global AI infrastructure.

Day-to-day operation of large-scale GPU platforms that power mission-critical AI workloads. You'll provision, maintain, validate, and troubleshoot GPU servers, ensuring consistent, high-performance infrastructure across racks and regions.

What we offer

• Salary 140k-200k (depending on experience) + 20% bonus + strong share options!
• Remote US
• A work culture focused on innovative disruption

Responsibilities

• Perform node imaging, bring-up, health checks, and lifecycle management across GPU systems.
• Run GPU validation, including health checks, NVLink validation, NCCL tests, and performance benchmarking.
• Monitor system health, troubleshoot issues, and ramp complex faults.
• Maintain accurate configuration, inventory, and fleet records.
• Support the deployment of new racks, clusters, and regional expansions.
• Improve automation, runbooks, and operational processes.

Requirements

• Linux Expert & robust HPC experience
• GPU-based infrastructure administration
• Slurm and Kubernetes
• Familiarity with networking, storage, and system performance tuning.
• Strong problem-solving skills and a collaborative approach to supporting mission-critical environments.

Bonus

• GPU enthusiast who enjoys tinkering with GPU-accelerated systems as a hobby
• Medical, dental, and vision insurance for the employee and family
• Equity Scheme
• Bonus
• 401(k) with a generous employer match
• Company-paid Life Insurance
• Flexible Spending Account
• Flexible PTO

Why Join?

They’re at the forefront of the AI industry, building bleeding-edge infrastructure that enables fully secure, scalable AI-ready solutions – propelling the entire AI landscape! Joining at this early stage (just 2.5 years in), you’ll have significant scope to make a lasting impact and the opportunity to share in the upside as it scales into a global juggernaut.