Sr SOC Verification Engineer, Annapurna ML

Amazon

Cupertino (CA)

On-site

USD 143,300 - 247,600

Full time

14 days+
Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

Medical benefits
Equity and sign-on payments

Job summary

Amazon is seeking experienced Design Verification Engineers to build the next generation of cloud server chips. You will design and optimize custom silicon, verify chip designs, mentor junior engineers, and ensure integration of technologies in a scalable infrastructure.

Qualifications

  • 8+ years of design verification experience.
  • Experience in testbench development including stimulus and assertions.
  • Experience with verifying complex CPU, GPU, or ML designs.

Responsibilities

  • Verify custom chip designs at the SOC level.
  • Integrate 3rd party IPs into the SOC testbench.
  • Maintain regression infrastructure and triage bugs.

Skills

System Verilog
UVM
C/C++
Python
AMBA protocols
interconnect protocols

Education

BS Degree or Higher in EE or CS or CE

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 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

BASIC QUALIFICATIONS

- BS Degree or Higher in EE or CS or CE.
- 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 verifying multiple levels of design including: custom blocks, IP blocks, sub-systems, and fullchip SOC system testing.
- Experience using multiple verification platforms.
- 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Important FAQs for current Government employees

Before proceeding, please review the following FAQs

https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

Amazon Web Services (AWS) • Austin (TX)

On-site
USD 159,000 - 215,000
Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

Amazon • Cupertino (CA)

On-site
USD 183,000 - 248,000
Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs (AWS)
Sr SOC Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs (AWS)

Amazon • Cupertino (CA)

On-site
USD 150,000 - 210,000
RSUs
Sign-on bonus
Health insurance
+1
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

Amazon Web Services (AWS) • Austin (TX)

On-site
USD 159,000 - 215,000
Competitive compensation
Comprehensive benefits
Career growth & mentorship
Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

Amazon • Cupertino (CA)

On-site
USD 183,000 - 248,000
Health insurance
RSUs & sign-on
401(k) matching
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

Amazon • Austin (TX)

On-site
USD 159,200 - 215,300
Health insurance
401(k) matching
Paid time off
+1
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs (AWS)
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs (AWS)

Amazon • Austin (TX)

On-site
USD 140,000 - 190,000
Senior SOC Verification Engineer for Cloud ML Acceleration
Senior SOC Verification Engineer for Cloud ML Acceleration

Amazon • Cupertino (CA)

On-site
USD 150,000 - 210,000
RSUs
Sign-on bonus
Health insurance
+1
Software Development Engineer II, Validation (AWS)
Software Development Engineer II, Validation (AWS)

Amazon • Austin (TX)

On-site
USD 144,000 - 194,000
Health insurance
401(k) matching
Paid time off
Sr. Hardware Engineer - ML Acceleration, Annapurna Labs
Sr. Hardware Engineer - ML Acceleration, Annapurna Labs

Amazon • Cupertino (CA)

On-site
USD 180,000 - 240,000
Work-life balance initiatives
Mentorship and career growth opportunities
Inclusive team culture