Software Development Manager, AWS Neuron SDK - Distributed Training

Amazon.com Inc

Cupertino, CA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Automation, Cloud Computing, Cross-Functional, Customer Relations, Customer Training, Documentation, JAX (Java API for XML), Leadership, Machine Learning, Machine Tool, Mentoring, Onboarding, Performance Analysis, Performance Tuning/Optimization, Process Development, Product Lifecycle, Product Management, Scalable System Development, Software Development, Systems Engineering, Team Lead/Manager, Technical Strategy, Technical Support
LOCATION
Cupertino, CA
POSTED
13 days ago

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine

learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must.

Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience.

you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers

Key job responsibilities

  • Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform.
  • Own the customer onboarding journey from model evaluation through production training at scale
  • Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools.
  • Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models.
  • Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads.
  • Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies).
  • Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium.
  • Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams.
  • Recruit, mentor, and grow a high-performing team of ML systems engineers.

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

About Us

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles