Annapurna Labs
Technology
Sr.GPU/AcceleratorHardwareDevelopmentEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. GPU/Accelerator Hardware Development Engineer at Annapurna Labs. Skills: Hardware design, System design, AI accelerators. Develop AI accelerator compute systems. Lead HW development projects”
What You'll Achieve.
Deliver a world-class customer experience; Meet highest standards; Meet time to market goals; Meet cost goals; Meet quality goals
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
BS or MS degree in EE/CE, 5+ years High-Speed system design, Experience with Schematic and layout tools, Drive ODM HW development, Knowledge in electrical engineering fundamentals, Knowledge in power & signal integrity, Knowledge in analog/digital circuits, Able to drive component selection, Able to drive validation of electrical components, Able to drive validation of mechanical components, Able to drive validation of cables, Experience with hardware development process, Experience with system development across full product life cycles, Experience using lab equipment, Experience with supply chain management
Nice to Have
Lead end-to-end server hardware development, Drive PCB board design, Collaborate with silicon teams, Collaborate with firmware teams, Collaborate with system software teams, Improve compute density, Improve power efficiency, Improve network bandwidth utilization, Drive root cause analysis for hardware issues
What You'll Do.
Develop AI accelerator compute systems
Lead HW development projects
Build cloud server infrastructure
System design of hardware
Optimization of hardware
Provide leadership in new technologies
Deliver customer experience
Integration of hardware
Deliver multiple projects
How You'll Work.
Team & Collaboration
Cross functionally with AWS monitoring teams; With members of Hardware Design team; With additional teams across AWS; With silicon teams; With firmware teams; With system software teams
Communication Scope
Communicate effectively; Communicate respectfully
Process & Methodology
Project management
Full Job Description
Would you like to develop the Next Generation of AI accelerator compute systems? Lead bleeding-edge HW development projects? Have you heard of Amazon Web Services (AWS) Project Rainer? This is the opportunity to be a part of a fast-moving innovation team that is changing the world of AI at massive scale. At AWS Trainium we develop a complete vertical stack system, from our own Silicon to Hardware to Software and deploy directly to our customers in our own Data Centers We are seeking experienced Lead System Design Engineers to build the next generation of our cloud server infrastructure, Project Rainier. Project Rainier is a massive $11 billion Amazon Web Services (AWS) AI infrastructure initiative, featuring one of the world's largest compute clusters dedicated to training and running Anthropic’s Claude AI models. It utilizes over 500,000 custom Trainium2 chips, designed for high-performance AI training. As a member of the AWS Trainium Machine Learning Acceleration team you’ll be responsible for the System design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities We are looking for a Lead Hardware Design Engineer with strong skills in both hardware and software. In this role, you will be responsible for system design, validation, and integration of hardware in the AWS fleet through its entire life cycle. You will work cross functionally with AWS monitoring teams,
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