Hardware Development Engineer (AI/ML Server Development)

Quick Facts

• Role: Hardware Development Engineer (AI/ML Server Development)

Description

You’ll work on GPU-accelerated server platforms that power generative AI, machine learning training, and large language models. The role focuses on investigating and root-causing hardware issues, analyzing failure data and trends, and improving reliability through collaboration and design reviews.

Responsibilities

• Investigate and root cause hardware issues on GPU server platforms across electrical, firmware, and software layers
• Analyze failure data and trends to identify systemic problems and propose fixes
• Partner with senior engineers to understand server architecture, GPU subsystems, and fleet operations
• Participate in design reviews for new server platforms with a reliability and serviceability perspective
• Collaborate with firmware, software, manufacturing, and datacenter operations to connect field failures to design improvements
• Document findings, contribute to runbooks, and share knowledge

Requirements

• Bachelor’s degree or above in electrical engineering, computer engineering, or equivalent
• Experience communicating technical concepts and processes using clear, simple language and visuals
• Understanding of computer architecture (CPU, memory, buses, I/O)
• Hands-on experience with Linux environments (coursework, labs, or personal projects)
• Strong organizational skills and ability to work with cross-functional teams
• Drive to work in a fast-paced, learning-intensive environment

Benefits

• Sign-on payments and restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription), Basic Life & AD&D, option for Supplemental life, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement
• 401(k) matching
• Paid time off
• Parental leave