Software Development Manager, Aws Neuron Machine - Cupertino, United States - Annapurna Labs (U.S.) Inc.

Annapurna Labs (U.S.) Inc.
Annapurna Labs (U.S.) Inc.
Verified Company
Cupertino, United States

1 month ago

Mark Lane

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Mark Lane

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Description
3+ years of engineering team management experience

  • 7+ years of working directly within engineering teams experience
  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • Experience partnering with product or program management teams
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • 3+ Years of Deep Learning/Machine learning experience
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine


Responsible for the full development life cycle of our integrations and extensions for inference and training support in Pytorch, XLA, JAX as well as distributed training libraries like FSDP, DDP and others.

Lead the way to ensure support for key ML functionality in a combined chip / software platform
Ensure the right thing is being built and delivered to customers

Key job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems.


You'll also:
Solve challenging technical problems, often ones not solved before, at every layer of the stack.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
Build high-quality, highly available, always-on products.
Research implementations that deliver the best possible experiences for customers.

A day in the life

You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers.

We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale.

About the team
Our team is dedicated to supporting new members.

We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship.

Our senior members enjoy one-on-one 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.

Diverse Experiences

About AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony.

Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer.

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face.

Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.

Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn't necessary.

Cupertino, CA, USA

  • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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