Senior SoC Architectural Modeling Engineer AWS Machine Learning Accelerators

Custom SoCs (System on Chips) are the brains behind AWSs Machine Learning servers. Our team builds C & SystemC functional models of these customdesigned accelerator SoCs for use by AWS internal teams. Were looking for a Senior SoC Modeling Engineer to join the team and deliver new functional models infrastructure and tooling for our customers.

As part of the ML accelerator modeling team you will:
Develop and own SoC functional models endtoend including model architecture integration with other model or infrastructure components testing and debug
Work closely with architecture RTL design design verification emulation and software teams to build debug and deploy your models
Innovate on the tooling you provide to customers making it easier for them to use our SoC models
Drive model and modeling infrastructure performance improvements to help our models scale
Develop software which can be maintained improved upon documented tested and reused

Annapurna Labs our organization within AWS designs and deploys some of the largest custom silicon in the world with many subsystems that must all be modeled and tested with high quality. Our SoC model is a critical piece of software used in both our SoC development process and by our partner software teams. Youll collaborate with many internal customers who depend on your models to be effective themselves and youll work closely with these teams to push the boundaries of how were using modeling to build successful products.

You will thrive in this role if you:
Are an expert in functional modeling for SoCs ASICs TPUs GPUs or CPUs
Are comfortable modeling in C or SystemC and familiar with Python
Enjoy learning new technologies building software at scale moving fast and working closely with colleagues as part of a small team within a large organization
Want to jump into an MLaligned role or get deeper into the details of ML at the hardware/systemlevel

Although we are building machine learning chips no machine learning background is needed for this role. This role spans modeling of the ML and management regions of our chips and youll dip your toes into both. Youll be able to ramp up on ML as part of this role and any ML knowledge thats required can be learned onthejob.

This role can be based in either Cupertino CA or Austin TX. The broader team is split between the two sites with a slight preference for CA due to colocation with more customer teams.

Were changing an industry. Were searching for individuals who are ready for this challenge who want to reach beyond what is possible today. Come join us and build the future of machine learning!


A day in the life
A few videos help explain what the Annapurna Labs ML team is working on:
the team
AWS Utility Computing (UC) provides product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services. Additionally this role may involve exposure to and experience with Amazons growing suite of generative AI services and other cuttingedge cloud computing offerings across the AWS portfolio.

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. 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.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

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6 years of noninternship professional experience writing functional or performance models
Experience programming with C and/or SystemC
Familiarity with SoC CPU GPU and/or ASIC architecture and microarchitecture

6 years of full software development life cycle including coding standards code reviews source control management build processes and testing
Experience developing and calibrating performance models for custom silicon chips
Experience with writing benchmarks and analyzing performance
Experience with PyTest and GoogleTest
Familiarity with modern C 11 14 etc.
Experience in multithreaded programming vector extensions HPC and QEMU
Experience with machine learning accelerator hardware and/or software

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.