Hardware Engineer - ML Acceleration, Annapurna Labs

Job Description

The Hardware Design Engineer will be responsible for the design and validation of AWS next generation ML Chips, Cards, and server integration as a senior member of the hardware team.

Requirements

• Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level
• Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal and parallel bus interfaces
• Hands-on lab equipment skills (VNA, Realtime scope, Sampling scope and its accessories) for electrical validation and characterization
• Scripting skills to automate tests, logs parsing and data collection
• Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization

Responsibilities

• Participate in the design and execution of all PCIe and Serdes topics to create customized platforms fitting within AWS datacenter's technology
• Design and optimization of hardware in data centers for Machine Learning Acceleration team
• Provide leadership in applying new technologies to large scale server deployments for a world-class customer experience
• Constantly look for ways to improve product performance, quality, and cost

Benefits

• Medical, dental, and vision coverage (multiple plan options)
• Health savings and flexible spending accounts
• 24/7 Employee Assistance Program for mental health support
• 401(k) with company match and various investment choices
• Company-paid life/AD&D and disability insurance
• Restricted stock units (RSUs) for employee ownership
• Child care and elder care referrals, adoption assistance
• Paid maternity and parental leave (including Ramp Back)
• Paid time off (PTO) and company holidays
• Employee discount on Amazon.com products
• Career Choice program (95% tuition and textbook coverage)