Annapurna Labs

Technology

Sr.FormalVerificationEngineer

$159–215k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Formal Verification Engineer at Annapurna Labs. Skills: Formal verification, Hardware design. Develop formal verification plans. Implement state-of-the-art IP architectures”

Industry & Context.

Technology
Problems you'll solve

Debugging

What They're Looking For.

Must Have

Bachelor's degree or above in computer science, electrical engineering, or related field, 7+ years of practical experience with formal verification as IPlock owner, or equivalent academic experience in formal methods, 7+ years of experience with formal verification techniques including abstraction and end-to-end checking, or equivalent academic experience in formal methods

Nice to Have

Experience with formal verification techniques including abstraction and end-to-end checking, Knowledge of programming or other scripting languages and coding skills, Understanding of u-arch design comprehension and debugging, Practical experience with RTL design

What You'll Do.

Develop formal verification plans

Implement state-of-the-art IP architectures

Verify state-of-the-art IP architectures

Work with block designers

Gain deep micro-architectural understanding

Develop checking algorithms

Perform state of the art formal methods

Perform abstraction techniques

Participate in test plan reviews

Participate in coverage reviews

Promote assertions to simulation

Contribute to overall simulation strategy

How You'll Work.

Team & Collaboration

Team members across multiple disciplines

Full Job Description

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to work with partners and vendor and build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. 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 technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. Key job responsibilities - Develop formal verification plans, implement and verify state-of-the-art IP architectures. - Work with block designers to gain deep micro-architectural understanding. - Develop checking algorithms, assertions, and FV models. - Perform state of the art formal methods and abstraction techniques. - Participate in test plan and coverage reviews. - Promote assertions to simulation and contribute to overall simulation strategy. - Communicate and work with team members across multiple disciplines. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn tr

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