GPU Performance Engineer (AI)

TL;DR

GPU Performance Engineer (AI/Infrastructure): Developing and maintaining scalable testing and validation solutions for global GPU cloud infrastructure with an accent on automation workflows and hardware performance. Focus on optimizing Kubernetes controllers, adapting open-source tooling for system metrics, and ensuring reliability of AI compute platforms.

Location: Sunnyvale, CA or Bellevue, WA

Salary: $120,000 – $160,000

Company

hirify.global is a specialized cloud provider for AI, offering high-performance infrastructure and tools for AI labs and global enterprises.

What you will do

• Implement and maintain scalable solutions for the testing and validation of global infrastructure.
• Develop and improve performance tests and automation workflows to expand hardware validation across the fleet.
• Troubleshoot and maintain Kubernetes custom controllers and operators for infrastructure automation.
• Adapt and extend open-source tools to enhance visibility into system metrics and health.
• Participate in an on-call rotation to ensure system reliability.

Requirements

• 2–5 years of software engineering experience.
• Proficiency in Go and/or Python software development.
• Hands-on experience with Kubernetes at production scale.
• Must be a U.S. person (citizen, lawful permanent resident, refugee, or asylee) for export control compliance.

Nice to have

• Experience building backend services.
• Experience testing hardware at scale or knowledge of HPC.
• Experience with AI/ML infrastructure and training/inference.

Culture & Benefits

• 100% company-paid medical, dental, and vision insurance.
• 401(k) with a generous employer match and ESPP participation.
• Flexible PTO, paid parental leave, and mental wellness support through Spring Health.
• Catered lunch provided daily in office and data center locations.
• Tuition reimbursement and family-forming support via Carrot.