Virtual Platform Engineering Sr. Manager, Annapurna Labs Machine Learning Accelerators, AWS

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profile Job Location:

Cupertino, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Department:

Software Development

Job Summary

AWSs Trainium and Inferentia chips power the worlds largest machine learning clusters. Our team builds virtual platforms full-system C models of these custom SoCs that let software teams start development months before silicon exists. For Trainium3 our virtual platform enabled a full training workload within 12 hours of first silicon putting servers in customer hands within weeks!

Were hiring a hands-on engineering manager to lead and scale our virtual platform effort. Youll own the end-to-end delivery of virtual platforms that our software partners depend on from model architecture and level of detail through deployment and customer enablement. This is a builder-leader role: youll set the technical direction while staying close to the code and your customers.

What youll do:
- Lead the team delivering virtual platforms used by design verification as well as driver runtime collectives and application software teams to develop and validate software pre-silicon
- Own the virtual platform roadmap deciding what to model at what fidelity and when to deliver it based on customer needs and chip schedules
- Drive platform usability performance and scalability so teams can run real workloads on your models efficiently
- Build and improve the tooling CI and release infrastructure around the virtual platform so customers get reliable well-documented drops
- Partner closely with software teams and design verification to understand their workflows and shape the platform to maximize their productivity
- Hire and develop a team of strong modeling engineers setting high standards for code quality testing and delivery
- Dive into technical problems when needed - debug model issues review architecture decisions and unblock the team

Why this role is interesting:
- Your virtual platform directly accelerates AWSs most strategic silicon programs software teams literally cant start without you
- Youll own a product with real internal customers who give you direct feedback not just a component buried in a larger system
- The problem space is rich: full-system simulation multi-subsystem integration QEMU development performance at scale machine learning at the bleeding edge
- Small team big impact startup pace inside AWSs custom silicon org

No ML background needed. Youll learn the required ML domain knowledge on the job. What matters is deep virtual platform or system modeling experience and the ability to lead a technical team.

About the team
More details about Trainium3 our teams latest achievement as well as some insights into our team culture:
- (

- 7 years of engineering team management experience
- Knowledge of SoC architecture
- 15 years writing functional or performance models for SoCs CPUs GPUs or ASICs
- Strong C and/or SystemC skills in large-scale OOP codebases

- Experience hiring developing and promoting engineering talent
- Experience with high-performance multi-threaded or distributed systems
- Experience developing and calibrating performance models for custom silicon
- Background writing benchmarks and analyzing model performance
- ML accelerator architecture knowledge (a plus not required)
- Experience building CI/CD regression frameworks and developer tooling
- Familiarity with AWS EC2 for development workflows

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Cupertino - 253100.00 - 342300.00 USD annually


Required Experience:

Manager

AWSs Trainium and Inferentia chips power the worlds largest machine learning clusters. Our team builds virtual platforms full-system C models of these custom SoCs that let software teams start development months before silicon exists. For Trainium3 our virtual platform enabled a full training work...
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Key Skills

  • Hospitality Experience
  • Go
  • Management Experience
  • React
  • Redux
  • Node.js
  • AWS
  • Mechanical Engineering
  • Team Management
  • Leadership Experience
  • Mentoring
  • Distributed Systems

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