Dft design engineer, aws machine learning acceleration

2 weeks ago

Singapore Amazon Full time

DFT Design Engineer, AWS Machine Learning Acceleration AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. 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 ago—even 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 you’ll be responsible for the 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 relentlessly 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. 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 Minimum Qualifications - BS degree in EE, CE, or CS- 3+ years of practical DFT experience with large processor and/or So C designs- Knowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time- Experience with automation script development Preferred Qualifications - MS degree in EE, CE or CS- Good breadth of knowledge in chip design from micro-architecture through physical design- Good knowledge of design verification (DV) simulation methodologies- Experience with large gate-level simulation setup and debug with SDF- Strong programming and scripting skills in Perl, Python or Tcl- Experience with industry standard DFT/SCAN/ATPG tools- Experience with STA constraints development and analysis for DFT modes- Practical experience with silicon debug Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit #J-18808-Ljbffr

  • Dft design engineer, aws machine learning acceleration

    2 weeks ago

    Singapore Amazon Full time

    DFT Design Engineer, AWS Machine Learning Acceleration AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including...

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