MLA Design Verification Engineer, Annapurna Labs

Amazon Web Services (AWS); Cupertino (CA); Presencial; USD 157.000 - 213.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) matching

Paid time off

Parental leave

Descripción de la vacante

Annapurna Labs (U.S.) Inc. in Cupertino, CA, is seeking a Design Verification Engineer to help build scalable cloud server platforms for AWS. You will verify hardware and software functionality using SystemVerilog and UVM, develop verification plans, and measure progress against ambitious metrics.

The team emphasizes inclusion, work-life balance, and career growth. Ideal candidates have a Bachelor's in EE and 3+ years in design verification, plus experience with Python or other scripting, C/C++,

Formación

• Bachelor's degree in Electrical Engineering or a related field.
• 3+ years of design verification experience using SystemVerilog and UVM.
• 3+ years of testbench development including stimulus, checkers, assertions and coverage.

Responsabilidades

• Verify hardware and software solutions meet functionality goals.
• Develop and execute verification/validation plans.
• Measure team progress toward customer metrics.

Educación

Bachelor's degree in Electrical Engineering or related field

Herramientas

SystemVerilog

UVM

Testbench development

C/C++

Scripting (Python, Perl)

Descripción del empleo

DescriptionAmazon 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.

DescriptionAmazon 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 TeamInclusive Team CultureHere 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 BalanceOur 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 GrowthOur 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. Basic Qualifications

• Bachelor's degree in Electrical Engineering or a related field
• 3+ years of design verification experience using System Verilog and UVM
• 3+ years of experience in testbench development including stimulus, checkers, assertions and coverage

Preferred Qualifications

• Experience in Python, Perl, or another scripting language
• Experience using multiple verification platforms.
• Experience with C/C++ and Object-Oriented Programming
• Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually USA, TX, Austin - 136,000.00 - 184,000.00 USD annually Company - Annapurna Labs (U.S.) Inc. Job ID: A10391903