Post-Silicon Systems Validation Engineer, Annapurna Labs
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Job Location:
Austin, TX - USA
Yearly Salary:
$ 129300 - 223600
Posted on:
16 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Annapurna Labs is an organization within AWS that is responsible for building custom silicon and software for AWS customers. With development centers in the U.S. and Israel Annapurna is at the forefront of innovation by combining cloud scale with the worlds most talented engineers. The Annapurna team covers multiple disciplines including silicon engineering hardware design and verification software and operations.
As part of Annapurna Labs Silicon Validation team youll have the opportunity to validate the next generation of cloud computing machine learning accelerators. Youll experience what its like to work in a fast-paced innovative and start-up like environment filled with some of the brightest minds in the industry. The work we do is not only cutting-edge and internet-scale but also deeply important to our customers. The teams validation is used to test every component of our hardware and software to come together into products that our customers use for Machine Learning acceleration.
Our custom chips accelerators and software stacks enable us to take on technical challenges that have never been seen before and deliver results that help our customers change the world. The scope of this role includes validation of the vertical stack of Silicon PCB High Speed components e.g. HBM PCIe and Chip to Chip inter-systems and system to system. Diving deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale.
Key job responsibilities
As a Senior Validation engineer you are responsible for validating the chip and system architecture for the next generation Machine Learning Acceleration (MLA) product family. You work closely with design software & architecture teams and develop in-depth chip and system validation plans execute on the validation plans debug and take the MLA product to successful production ramp. This includes validating the design to achieve the best performance identify bottlenecks and work with design/architecture teams to resolve them. Our work does not stop at production ramp we continue to support our servers in the datacenter through their lifecycle.
A day in the life
* Architect system validation strategies
* Develop system validation methodologies and infrastructures for validating machine learning HW and neural networks
* Evaluate and improve performance of Machine Learning systems
* Work with other functional teams to ensure delivery of high quality systems to AWS data centers
* Own validation schedules and reporting of progress metrics
* Provide technical mentoring for junior team members
- Experience with general troubleshooting/debugging of hardware or experience in computer architecture
- 3 years of non-internship system test development code reviews source control management build processes automated deployments and operations experience.
- Experience with Linux environments and Git.
- Experience with Machine Learning Hardware/Software Architecture
- Experience with CI/CD
- Experience with EDA Simulations or Emulation
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 Companys 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 for more information. If the country/region youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
As part of Annapurna Labs Silicon Validation team youll have the opportunity to validate the next generation of cloud computing machine learning accelerators. Youll experience what its like to work in a fast-paced innovative and start-up like environment filled with some of the brightest minds in the industry. The work we do is not only cutting-edge and internet-scale but also deeply important to our customers. The teams validation is used to test every component of our hardware and software to come together into products that our customers use for Machine Learning acceleration.
Our custom chips accelerators and software stacks enable us to take on technical challenges that have never been seen before and deliver results that help our customers change the world. The scope of this role includes validation of the vertical stack of Silicon PCB High Speed components e.g. HBM PCIe and Chip to Chip inter-systems and system to system. Diving deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale.
Key job responsibilities
As a Senior Validation engineer you are responsible for validating the chip and system architecture for the next generation Machine Learning Acceleration (MLA) product family. You work closely with design software & architecture teams and develop in-depth chip and system validation plans execute on the validation plans debug and take the MLA product to successful production ramp. This includes validating the design to achieve the best performance identify bottlenecks and work with design/architecture teams to resolve them. Our work does not stop at production ramp we continue to support our servers in the datacenter through their lifecycle.
A day in the life
* Architect system validation strategies
* Develop system validation methodologies and infrastructures for validating machine learning HW and neural networks
* Evaluate and improve performance of Machine Learning systems
* Work with other functional teams to ensure delivery of high quality systems to AWS data centers
* Own validation schedules and reporting of progress metrics
* Provide technical mentoring for junior team members
- Experience with general troubleshooting/debugging of hardware or experience in computer architecture
- 3 years of non-internship system test development code reviews source control management build processes automated deployments and operations experience.
- Experience with Linux environments and Git.
- Experience with Machine Learning Hardware/Software Architecture
- Experience with CI/CD
- Experience with EDA Simulations or Emulation
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 Companys 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 for more information. If the country/region youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Skills
- Python
- SOC
- Debugging
- C/C++
- FDA Regulations
- Minitab
- Technical Writing
- GAMP
- OS Kernels
- Perl
- cGMP
- Manufacturing
About Company
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