Amazon

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

Amazon$159K — $215K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • B.S. in Electrical Engineering or related field
  • 5+ years in RTL design for SOC
  • 5+ years of VLSI engineering
  • 5+ years with code quality tools including: Spyglass, LINT, or CDC
  • Master's degree in a relevant field preferred

Responsibilities

  • Integrate multiple subsystems into top-level SOC, ensuring correct signal routing
  • Implement and deliver high-performance, efficient RTL designs
  • Analyze design and make trade-offs based on requirements
  • Develop micro-architecture and implement SystemVerilog RTL
  • Perform lint and clock domain crossing quality checks
  • Collaborate with architects and other teams for integrated design solutions

Benefits

  • Work-life harmony with flexible working culture
  • Diversity and inclusion initiatives including employee-led group events
  • Continuous learning and mentorship opportunities
  • Supportive team environment encouraging knowledge-sharing
  • Adaptable work environment for individual needs
Full Job Description
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities - integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing - As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications. - Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements. - Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints. - Perform lint and clock domain crossing quality checks on the design. - Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks. You will thrive in this role if you: - Are familiar with scripting in Python - Are proficient with assertions - Have good debug skills to analyze RTL test failures - Have a "Learn and Be Curious" mindset About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS - B.S. in Electrical Engineering or related technical field - 5+ years in RTL design for SOC - 5+ years of VLSI engineering - 5+ years with code quality tools including: Spyglass, LINT, or CDC PREFERRED QUALIFICATIONS - Master's degree in electrical engineering, computer engineering, or equivalent - Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints - Experience with automation and scripting languages such as Python - Familiarity with data path design, interconnects, AXI protocol - Good analytical, problem solving, and communication skills The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, TX, Austin - 159,200.00 - 215,300.00 USD annually

About Amazon

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Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
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