Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips accelerators and software stacks enable us to take on technical challenges that have never been seen before and deliver results that help our customers change the world.
As a member of the Silicon Optimization Engineering Team youll be responsible for the design and optimization of hardware in our data centers. Youll 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 youll work with thought leaders in multiple technology areas. Youll have relentlessly high standards for yourself and everyone you work with and youll be constantly looking for ways to improve your products performance quality and cost. Were changing an industry and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
Key job responsibilities
Develop implement and verify state-of-the-art Design for Test (DFT) architectures
Work with block designers to integrate DFT implementations
Work with physical design team to setup and implement DFT insertion flow
Develop high coverage and cost effective DFT methodologies
Perform RTL coding and Verification
Participate in Silicon debug and write scripts to effectively handle ATE related data
Communicate and work with team members across multiple disciplines
BS degree or higher in EE CE or CS with a graduation date between December 2022 and October 2025
Academic internship or professional experience with VLSI design or DFT
Familiarity with automation script development and/or software development
MS degree in EE CE or CS
Project/internship experience with DFT (SCAN JTAG or MBIST)
Good breadth of knowledge in chip design concepts from micro-architecture through physical design
Experience in programming and scripting with Perl Python or Tcl
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