Systems Development Engineer, AI Infrastructure

Requirements

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience with systems automation, and with systems design and implementation and technical infrastructure (e.g., deployment, maintenance, troubleshooting).
• Experience in one or more of the following: Python, Java, Go.

Nice to Have

• Experience in site reliability engineering or IT production systems engineering.
• Experience contributing to product, engineering, or research teams in complex, cross-functional environments.
• Understanding of physical server, storage and network devices.
• Excellent communication skills, with the ability to explain technical topics.

What You'll Be Doing

• Contribute to the strategic goal for the hybrid and on-prem infrastructure business by assisting in defining and delivering architecture and road map initiatives.
• Support the team in maintaining and enhancing product, engineering, operational, and support excellence to ensure reliable operations.
• Develop services in Go/Python to automate the entire life-cycle of hardware test beds.
• Build automation for OS installation and software deployment using custom installers.
• Solve engineering issues associated with managing both networked and air-gapped hardware environments.

Perks and Benefits

• Opportunity to work on cutting-edge AI hardware and software.
• Building the future of computing and AI accelerators hardware.
• Collaborative and innovative work environment.
• Support and mentorship for learning and growth.