ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team
Amazon Web Services (AWS) · Tel Aviv-Yafo, Tel Aviv District, Israel
- On site
- Full-time
- ₪200,000 / year
- Tel Aviv-Yafo, Tel Aviv District, Israel
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Job highlights
- Design and integrate SOC subsystems for machine learning acceleration.
- Implement high-performance, power-efficient RTL using SystemVerilog.
- Analyze and optimize designs for features, power, performance, area.
- Collaborate with cross-functional teams on silicon development.
- Work on custom chips for AWS data centers.
About the role
About Annapurna Labs (AWS UC)
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.About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.This role is based in Tel Aviv with an option for relocation to the USA (not a must).
Key job responsibilities
- Integrate multiple subsystems into top level SOC, ensuring correct clock/reset/functional/DFT signal routing.
- As a key member of the ASIC design team, 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 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.
A day in the life
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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 Engineer 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
- 3+ years in RTL design for SOC
- 3+ years of VLSI engineering
- 3+ years with code quality tools including: Spyglass, LINT, or CDC
Preferred Qualifications
- Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints.
- Familiarity with data path design, interconnects, AXI protocol.
- Good analytical, problem solving, and communication skills.
Company - Annapurna Labs Ltd.
Job ID: A3158262
Key skills/competency
ASIC Design, RTL Design, SOC Integration, VLSI Engineering, Microarchitecture, SystemVerilog, Assertions, SDC Constraints, Python Scripting, Debugging.Skills & topics
- ASIC Design
- RTL Design
- SOC Integration
- VLSI
- Machine Learning Acceleration
- SystemVerilog
- AWS
- Semiconductor
- Hardware Engineering
- Chip Design
How to get hired
- Tailor your resume: Highlight your 3+ years of RTL design, VLSI engineering, and code quality tools experience, aligning with 'Basic Qualifications'.
- Showcase relevant skills: Emphasize experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints, and Python scripting in your application.
- Demonstrate problem-solving: Prepare examples of your analytical and debug skills, particularly in analyzing RTL test failures.
- Research AWS culture: Understand AWS values like 'Learn and Be Curious,' diversity, and work-life harmony to align with their inclusive environment.
- Prepare for technical interviews: Be ready to discuss SOC integration, RTL design trade-offs, and microarchitecture development.
Technical preparation
Master SystemVerilog RTL and SOC integration techniques.,Practice with code quality tools: Spyglass, LINT, CDC.,Develop Python scripting for design automation.,Study microarchitecture and data path design principles.
Behavioral questions
Describe a complex SOC integration challenge.,How do you analyze and resolve RTL test failures?,Explain a design trade-off decision you made.,How do you collaborate with verification teams?
Frequently asked questions
- What is the primary focus of the ASIC Design Engineer role at AWS Annapurna Labs?
- The ASIC Design Engineer role at AWS Annapurna Labs focuses on designing, implementing, and integrating custom silicon (SoCs) for cloud-scale machine learning acceleration within AWS data centers. This includes developing high-performance, power-efficient RTL and collaborating with various engineering teams.
- What are the minimum required qualifications for an ASIC Design Engineer at AWS?
- The basic qualifications include at least 3 years of experience in RTL design for SOC, 3+ years of VLSI engineering experience, and 3+ years of experience with code quality tools such as Spyglass, LINT, or CDC.
- Does AWS offer relocation assistance for this ASIC Design Engineer position?
- Yes, the role is based in Tel Aviv with an option for relocation to the USA. While relocation to the USA is not a mandatory requirement for the role, it is an available option.
- What programming languages or scripting tools are beneficial for an ASIC Design Engineer at AWS?
- Familiarity with scripting in Python is a valuable asset for an ASIC Design Engineer at AWS. This can help in automating tasks and improving efficiency in the design process.
- How does AWS Annapurna Labs support career growth for ASIC Design Engineers?
- AWS Annapurna Labs is dedicated to supporting new members with a mix of experience levels. They offer one-on-one mentoring, thorough code reviews, and aim to assign projects that help team members develop engineering expertise and empower them for more complex tasks.
- What is the importance of assertions in the ASIC design process at AWS?
- Proficiency with assertions is highlighted as a key trait for thriving in this role. Assertions are crucial for verifying design correctness and ensuring that the implemented RTL behaves as expected under various conditions, aiding in debug and quality checks.
- How does AWS Annapurna Labs approach work-life balance for its engineers?
- AWS values work-life harmony and strives for flexibility. They believe that success at work should not come at the expense of personal life and aim to provide a supportive environment for employees both professionally and personally.
- What kind of technical challenges can an ASIC Design Engineer expect at AWS?