Sr. Manager SOC Virtual Platform Modeling, ML Acceleration Annapurna Labs

Custom ML acceleration SoCs (System on Chips) are the brains behind AWSs Trainium Machine Learning servers. Our team builds functional models of these SoCs and the servers they power. Our models are used by AWS internal teams for silicon verification and to left-shift software development (as a virtual platform). We are looking for a leader who can quickly scale the team and begin executing on a performance model- someone who can drive both the team vision and hiring. Great candidates will have deep hands-on modeling experience with a startup-like can-do mentality - the team is nimble and we need a leader who can jump in and lead by example.

Key job responsibilities
As the ML accelerator modeling team manager you will:

* Lead the team responsible for developing SoC models end-to-end including model architecture integration with other model or infrastructure components testing and debug
* Mentor and develop the team while hiring top talent to continue scaling
* Lead new product and feature development both at a high level and in the trenches - this is a hands-on role and youll be expected dive into technical issues and the codebase head-first
* Work closely with architecture RTL design design verification emulation and software teams to build debug and deploy your models
* Focus on customer needs and use-cases to improve our models quality delivery speed and usefulness within AWS
* Develop mechanisms and infrastructure to enable the team to build high quality maintainable well documented modular and testable software

About the team
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 critical for both the SoC development process and for production software development. 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.

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 on-the-job.

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!

Trainium3 ( production software development leveraged our virtual platform before silicon arrived. This enabled running a full training workload within 12 hours once silicon arrived and getting servers in customer hands in mere months. While these are amazing feats theres significantly more value the modeling team can provide - we need to scale with the right leadership to enable this. We are looking for an SDM who loves getting their hands dirty but enjoys management and driving high-performance teams.


Why AWS
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Utility Computing (UC)
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Inclusive Team Culture
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Work/Life Balance
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Mentorship and Career Growth
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Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

- 7 years of engineering team management experience
- 15 years of non-internship professional software development experience writing functional or performance models for SoCs CPUs GPUs and/or ASICs
- Familiarity with SoC CPU GPU and/or ASIC architecture and micro-architecture
- Experience building large-scale OOP software projects in C and/or SystemC

- Experience designing and developing large scale high-traffic applications
- Experience hiring developing and promoting engineering talent
- Experience running metrics reports analyzing data to identify problems and using data analysis to generate and explain metrics
- Experience in computer architecture or experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution
- Experience building high-performance / multi-threaded / distributed software systems
- Experience developing and calibrating performance models for custom silicon chips
- Experience building test regression and continuous integration frameworks and tooling
- Experience using AWS EC2 servers for development

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.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $198100/year in our lowest geographic market up to $342300/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.