Annapurna Labs
Technology
Sr.FormalVerificationEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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