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Senior MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Cupertino, California, USA
Actively hiring, first seen by us 5 hours ago- Pay
Multiple pay amounts — pay source
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 - 213,000.00 - 287,500.00 USD annually USA, TX, Austin - 185,200.00 - 250,000.00 USD annually
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting
Education & alternatives
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. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Basic qualifications - Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields - 8+ years of design verification experience using System Verilog and UVM - 8+ YOE in testbench development including: stimulus, checkers, assertions and coverage Preferred qualifications - Experience using multiple verification platforms: UVM test bench, FPGA, emulator, software environments, and system testing - Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing. - Experience with C/C++ and Object-Oriented Programming. - Experience with scripting languages, for e.g. Python. - Experience with AMBA protocols, for e.g. AHB/APB/AXI - Experience with interconnect protocols, for e.g. PCIe and UCIe - Experience with memory sub-systems, including cache coherency and synchronization techniques - Experience with verifying complex CPU, GPU, or ML accelerator designs
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 1
- Employer says posted
- Apr 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Where the posting names them
- Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields - 8+ years of design verification experience using System Verilog and UVM - 8+ YOE in testbench development including: stimulus, checkers, assertions and coverage Preferred qualifications - Experience using multiple verification platforms: UVM test bench, FPGA, emulator, software environments, and system testing - Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing. - Experience with C/C++ and Object-Oriented Programming. - Experience with scripting languages, for e.g. Python. - Experience with AMBA protocols, for e.g. AHB/APB/AXI - Experience with interconnect protocols, for e.g. PCIe and UCIe - Experience with memory sub-systems, including cache coherency and synchronization techniques - Experience with verifying complex CPU, GPU, or ML accelerator designs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today’s AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you’ll collaborate with multiple teams to drive improvements in silicon yield & performance - it’s still Day One here at Amazon! 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 Design Verification Engineers to build the next generation of our cloud server chips. 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 custom silicon in our data centers.
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 14 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.
Your next step
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today’s AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you’ll collaborate with multiple teams to drive improvements in silicon yield & performance - it’s still Day One here at Amazon!
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 Design Verification Engineers to build the next generation of our cloud server chips. 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 custom silicon in our data centers.
Key job responsibilities
- Verify custom chip designs at the SOC level
- Integrate 3rd party IPs and VIPs into the SOC testbench
- Create comprehensive testplans, write robust random testcases, and execute coverage plans
- Maintain autosmoke and regression infrastructure
- Dive deep into bugs and triages
- Mentor junior engineers
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 14 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. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
- 8+ years of design verification experience using System Verilog and UVM
- 8+ YOE in testbench development including: stimulus, checkers, assertions and coverage
- Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing.
- Experience with C/C++ and Object-Oriented Programming.
- Experience with scripting languages, for e.g. Python.
- Experience with AMBA protocols, for e.g. AHB/APB/AXI
- Experience with interconnect protocols, for e.g. PCIe and UCIe
- Experience with memory sub-systems, including cache coherency and synchronization techniques
- Experience with verifying complex CPU, GPU, or ML accelerator designs
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.
USA, CA, Cupertino - 213,000.00 - 287,500.00 USD annually
USA, TX, Austin - 185,200.00 - 250,000.00 USD annually
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 Design Verification Engineers to build the next generation of our cloud server chips. 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 custom silicon in our data centers.
Key job responsibilities
- Verify custom chip designs at the SOC level
- Integrate 3rd party IPs and VIPs into the SOC testbench
- Create comprehensive testplans, write robust random testcases, and execute coverage plans
- Maintain autosmoke and regression infrastructure
- Dive deep into bugs and triages
- Mentor junior engineers
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 14 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. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Basic qualifications
- Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields- 8+ years of design verification experience using System Verilog and UVM
- 8+ YOE in testbench development including: stimulus, checkers, assertions and coverage
Preferred qualifications
- Experience using multiple verification platforms: UVM test bench, FPGA, emulator, software environments, and system testing- Experience verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing.
- Experience with C/C++ and Object-Oriented Programming.
- Experience with scripting languages, for e.g. Python.
- Experience with AMBA protocols, for e.g. AHB/APB/AXI
- Experience with interconnect protocols, for e.g. PCIe and UCIe
- Experience with memory sub-systems, including cache coherency and synchronization techniques
- Experience with verifying complex CPU, GPU, or ML accelerator designs
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 - 213,000.00 - 287,500.00 USD annually
USA, TX, Austin - 185,200.00 - 250,000.00 USD annually
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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 - 213,000.00 - 287,500.00 USD annually USA, TX, Austin - 185,200.00 - 250,000.00 USD annually
- Location & working pattern
Cupertino, California, USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.