ML Hardware Platform Engineer

Socket.dev; Austin (TX); On-site; USD 136,000 - 184,000; Full time

Job summary

Annapurna Labs is seeking a Platform Development Engineer to own an ML server platform within a world-spanning fleet. You will drive health, reliability, and customer experience by triaging issues, coordinating with hardware and software teams, and leading end-to-end testing and automation efforts.

You will also design scalable data infrastructure and tooling, deploy software updates, and participate in incident response to ensure peak performance of cutting-edge ML accelerators and servers.

Qualifications

• 2+ years of non-internship professional software development experience.
• 1+ years of designing or architecting of new and existing systems.
• 1+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience.
• Knowledge of systems engineering fundamentals (networking, storage, operating systems).
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby.
• Experience with Linux/Unix.
• Experience debugging and systems analysis to identify and quickly resolve or mitigate issues.
• Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering.

Responsibilities

• Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products
• Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS
• Implement and improve system level testing across the product lifecycle
• Develop software which can be maintained, improved upon, documented, tested, and reused
• Dive deep on issues at the intersection of hardware and software

Skills

Software development

System design

Networking

Linux/Unix

Programming languages

Education

Bachelor's degree in CS/CE/EE

Master's degree (preferred)

Job description

Annapurna Labs is seeking a Platform Development Engineer to own an ML server platform within a world-spanning fleet. You will drive health, reliability, and customer experience by triaging issues, coordinating with hardware and software teams, and leading end-to-end testing and automation efforts.

You will also design scalable data infrastructure and tooling, deploy software updates, and participate in incident response to ensure peak performance of cutting-edge ML accelerators and servers.