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Amazon
Austin
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 are seeking an experienced Design Verification Engineers to build the next generation of our cloud server platforms. Our success depends on our worl
Job Source: AmazonAmazon
Austin
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. Custom SoCs (System on Chip) live at the
Job Source: AmazonAmazon
Austin
Description AWS Networking Software enhances every aspect of our customers networking infrastructure and enables all of the benefits of hosting complex workloads in the cloud. We are looking for software development engineers with a background in networking and a passion for innovation for a brand new initiative within the AWS Elastic Network Adapt
Job Source: AmazonAmazon
Austin
Description Annapurna Labs builds high-performance hardware and software solutions used in AWS data centers globally. We are seeking an Serdes/PCIE Phy expert with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our platform development team, you will have the outsta
Job Source: AmazonAmazon
Austin
Description Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Neuron Compiler team is searching for compiler-skilled engineering talent to support the development and scaling of a compiler to enable the world's largest ML wo
Job Source: AmazonAmazon
Austin
Description The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow,
Job Source: AmazonAmazon
Austin
Description Annapurna Labs, considered as secret sauce behind the success of AWS, is responsible for silicon development. The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at th
Job Source: AmazonAmazon
Austin
Description The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflop
Job Source: AmazonAustin
Description
Job summary
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 are seeking an experienced Design Verification Engineers to build the next generation of our cloud server platforms. Our success depends on our world-class 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 validation of machine learning hardware in our data centers.
Some of your responsibilities will include verifying/validating that our hardware and software solutions achieve their desired functionality, developing and executing multi-faceted verification/validation plans, and measuring the teams progress towards our ambitious customer metrics.
Key job responsibilities
Some of your responsibilities will include verifying/validating that our hardware and software solutions achieve their desired functionality, developing and executing multi-faceted verification/validation plans, and measuring the teams progress towards our ambitious customer metrics.
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 trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Cupertino, CA, USA
Basic Qualifications
- 5+ years of design verification experience using System Verilog and UVM
- 5+ years of experience in testbench development including: stimulus, checkers, assertions and coverage
- 5+ years of experience verifying multiple levels of logic including: IP blocks and full SOC system testing
- Experience with C/C++, Python, or Perl
Preferred Qualifications
- MS Degree or Higher in EE or CS or CE.
- Experience using multiple verification platforms
- Experience with formal verification
- Experience with embedded software
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. For individuals with disabilities who would like to request an accommodation, please visit mazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit boutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Email Alert for Design Verification Engineer, Annapurna Labs_ jobs in Austin
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