🛠 Tech Stack

💼 About This Role

You'll manage a lab environment with the latest GPU systems, performing diagnosis and troubleshooting of hardware faults. Your work directly supports new product integration and research experimentation for cutting-edge AI infrastructure.

🎯 What You'll Do

• Manage lab environment for latest GPU systems.
• Diagnose and troubleshoot hardware faults in GPU racks.
• Perform component-level repairs and field-replaceable unit (FRU) repairs.
• Conduct post-repair validation and burn-in testing.

📋 Requirements

• Experience diagnosing and repairing high-density rack-mounted compute hardware in production environments.
• Deep understanding of GPU architectures and hands-on experience.
• Experience supporting NVIDIA A100, H200, GB200, B200 and AMD 350X/355X platforms.
• Strong Linux command-line experience for diagnostics and testing.

✨ Nice to Have

• Technical certification or degree in Electrical Engineering, Computer Science, or related field.
• Experience working directly with hardware vendors and escalations.
• Background in large-scale GPU fleet operations or hyperscale data centers.

🎁 Benefits & Perks

• 💰 Competitive compensation with equity and Restricted Stock Units.
• 🏖️ Paid time off, holidays, and parental leave.
• 🏥 Comprehensive health, dental & vision insurance with HSA contributions.
• 📚 Professional development and tuition reimbursement.
• 🍽️ Daily meals allowance and cell phone stipend.