About the Role

This role involves validating the chip and system architecture for next-generation Machine Learning Acceleration products at Annapurna Labs. Responsibilities include developing validation plans, executing tests, debugging, and ensuring high-quality systems for AWS data centers. The engineer will work closely with design, software, and architecture teams to achieve optimal performance and support products through their lifecycle.

Key Responsibilities

• Architect system validation strategies
• Develop system validation methodologies and infrastructures for machine learning hardware and neural networks
• Evaluate and improve performance of Machine Learning systems
• Work with functional teams to ensure delivery of high-quality systems to AWS data centers
• Own validation schedules and report progress metrics

Required Skills & Qualifications

Must Have:

• 5+ years of programming with at least one software programming language
• Bachelor's degree or above in computer science, computer engineering, or related field
• 5+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience
• Experience with Linux environments and Git

Nice to Have:

• Experience with Machine Learning Hardware/Software Architecture
• Experience with CI/CD
• Experience with EDA Simulations or Emulation