Hardware Production / Sustaining Engineer (AI/HPC)

Location: Sunnyvale, California, United States; on-site

Salary: $170,000–$205,000 per year, plus Restricted Stock Units

Company

hirify.global builds vertically integrated, energy-focused AI infrastructure spanning energy, data centers, hardware, and cloud services.

What you will do

• Own the hardware lifecycle from feasibility and prototype bring-up through validation, deployment, and production support.
• Develop automation frameworks for hardware testing, diagnostics, and continuous reliability improvement using Python, Shell, or similar tools.
• Debug PCIe link training, topology, and performance issues; InfiniBand fabric, throughput, and connectivity issues; and NVMe/storage bottlenecks, firmware interactions, and failures.
• Conduct system validation and characterization for GPU, CPU, and high-performance computing platforms.
• Lead end-to-end integration and solution testing for performance, reliability, and scalability.
• Collaborate with mechanical, thermal, firmware, software, manufacturing teams, and external vendors to resolve system-level issues and prepare platforms for high-volume manufacturing.

Requirements

• 4–8 years of experience in hardware development, validation, sustaining engineering, or production engineering.
• Strong hands-on expertise in PCIe, InfiniBand, and NVMe/storage debugging and development.
• Deep proficiency in hardware bring-up, board-level debugging, and system-level validation.
• Technical background in digital and analog design, server architecture, and high-performance computing hardware.
• Experience working across thermal, mechanical, firmware, and software functions in multidisciplinary environments.
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or equivalent experience.

Nice to have

• Experience with GPU-to-GPU communication architectures, NVLink, advanced GPU architectures, and AI/HPC environments.
• Experience supporting ARM and x86 server architectures.
• Background in sustainable or energy-efficient hardware design.
• Advanced certifications or coursework in AI/HPC hardware systems.

Culture & Benefits

• Work on AI-first compute systems focused on performance, reliability, and sustainability.
• Collaborate with experts across energy, manufacturing, data center construction, and cloud services.
• Restricted Stock Units are included in all offers.
• Equal opportunity employment.