Physical Design Engineer, Annapurna Labs

Amazon; Austin (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as an ASIC Physical Design Engineer, where you'll play a pivotal role in developing cutting-edge cloud solutions. This position offers a unique opportunity to work with innovative technologies, including custom chips and machine learning servers. You'll collaborate with talented engineers to optimize hardware design and contribute to the success of a rapidly evolving tech landscape. Enjoy a dynamic work culture that values mentorship and career growth while being part of a diverse team committed to excellence. If you're passionate about pushing the boundaries of technology, this role is for you!

Benefits

Flexible working hours

Mentorship programs

Diversity and inclusion initiatives

Work-life balance support

Qualifications

• 4+ years in ASIC Physical Design with experience in various node technologies.
• Strong scripting skills with Tcl, Perl, or Python for automation.

Responsibilities

• Collaborate with RTL designers to ensure physical design feasibility.
• Drive physical implementation through various design phases.

Skills

ASIC Physical Design

RTL-to-GDSII

Scripting (Tcl, Perl, Python)

Timing Closure

Power/Clock Distribution

Physical Verification

Education

BS in Electrical Engineering or Computer Science

MS in Electrical Engineering or Computer Science

Tools

Cadence

Mentor Graphics

Synopsys

Job description

Physical Design Engineer, Annapurna Labs

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.

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, Trainium Systems (our custom designed machine learning inference and training datacenter servers). 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 Physical Design Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.

Key job responsibilities

1. Work with RTL/logic designers to drive architectural feasibility studies, explore power-performance-area tradeoffs for physical design closure.
2. Drive IO/Core block physical implementation through synthesis, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, ECO and sign-off.
3. Develop physical design methodologies.
4. Evaluate 3rd party IP and provide recommendations.
5. Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teams.

A day in the life

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.

Diverse Experiences

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.

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.

Inclusive Team Culture

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.

Work/Life Balance

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.

Mentorship & Career Growth

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.

BASIC QUALIFICATIONS

1. BS + 4yrs or MS + 3yrs in EE/CS.
2. 4+ years in ASIC Physical Design from - RTL-to-GDSII in either 7nm, 14/16nm, 20nm, or 28nm.
3. Block Design using EDA tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) including synthesis, equivalency verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO.
4. Deep understanding on sign-off activities (timing, ir/em, physical verification).
5. Scripting experience with Tcl, Perl or Python.

PREFERRED QUALIFICATIONS

1. Expertise using CAD tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) develop flows for synthesis, formal verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO.
2. 4+ years of integrating IP and ability to specify and drive IP requirements in the physical domain.
3. Thorough knowledge of device physics, custom/semi-custom implementation techniques.
4. Experience solving physical design challenges across various technologies such as DDR, PCIe, fabrics etc.
5. Experience in extraction of design parameters, QOR metrics, and analyzing trends.
6. Ability to provide mentorship, guidance to junior engineers and be a very effective team player.
7. Meets/exceeds Amazon’s leadership principles requirements for this role.
8. Meets/exceeds Amazon’s functional/technical depth and complexity for this role.

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.

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