🛠 Tech Stack

💼 About This Role

You'll lead a team managing a GPU research lab with cutting-edge NVIDIA and AMD systems. You'll diagnose and repair high-performance compute clusters, supporting new product integration. This role offers the chance to work at the forefront of AI infrastructure.

🎯 What You'll Do

• Manage a team of two infrastructure engineers and one network engineer.
• Diagnose and repair hardware faults within GPU racks.
• Execute component-level diagnosis and remediation for failed hardware.
• Maintain documentation of maintenance activities in ticketing systems.

📋 Requirements

• Leadership experience managing high-caliber engineers
• Diagnosis of high-density rack-mounted compute hardware
• GPU platform support (NVIDIA A100, H200, GB200, B200, AMD 350X/355X)
• Linux command line proficiency (Ubuntu, Rocky Linux, CentOS)

✨ Nice to Have

• Technical certification or degree in EE/CS or related field
• Experience working directly with hardware vendors
• Background in large-scale GPU fleet operations

🎁 Benefits & Perks

• 💰 Competitive pay
• 📈 Restricted Stock Units
• 🏥 Health insurance with HDHP and PPO options
• 👶 Paid Parental Leave
• 🏖️ Generous PTO