Post-Silicon Systems Validation Engineer, Infrastructure Security, Annapurna Labs
Job Description
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 world’s 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, you’ll have the opportunity to validate the next generation of cloud computing machine learning accelerators. You’ll experience what it’s 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 team's 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 responsibilitiesAs 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
Locations
- United States, TX, Austin, Austin, TX, United States
- United States, CA, Cupertino, Cupertino, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
140,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of programming with at least one software programming language experienceintermediate
- - 5+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience.intermediate
- - Experience with Linux environments and Git.intermediate
- - Experience with server hardware and debug toolsintermediate
Required Qualifications
- - 5+ years of programming with at least one software programming language experience (experience, 5 years)
- - Bachelor's degree or above in computer science, computer engineering, or related field, or Bachelor's degree (degree in above in computer science)
- - 5+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience. (experience, 5 years)
- - Experience with Linux environments and Git. (experience)
- - Experience with server hardware and debug tools (experience)
Preferred Qualifications
- - Experience with Machine Learning Hardware/Software Architecture (experience)
- - Experience with CI/CD (experience)
- - Experience with EDA Simulations or Emulation (experience)
- 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. (experience)
- 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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.
Documents
Application Instructions
https://www.amazon.jobs/en/jobs/3112868