Software Development Engineer I - AI/ML Network Infrastructure, Annapurna Labs

Amazon.com Inc

Cupertino, CA

JOB DETAILS
SKILLS
Amazon Elastic Compute Cloud (EC2), Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Benchmarking, C Programming Language, C++ Programming Language, Cloud Computing, Computer Networks, Continuous Deployment/Delivery, Continuous Integration, GPU (Graphics Processing Unit), Linux Operating System, Machine Learning, Network Administration/Management, Performance Analysis, Python Programming/Scripting Language, Software Development, Software Engineering, Training/Teaching
LOCATION
Cupertino, CA
POSTED
4 days ago

We"re looking for a talented early-career engineer to join our team that owns the network stack for EC2 distributed AI/ML systems. You"ll work on software that enables the world"s largest AI models to train across massive GPU clusters, developing support for communication libraries and frameworks like NCCL, NVSHMEM, and NIXL.

This is a ground-floor opportunity to work at the intersection of high-performance computing, networking, and machine learning infrastructure - building the systems that power the largest AI workloads in the cloud.

Key job responsibilities

  • Write high-performance C/C++ code for network communication libraries running on custom AWS hardware
  • Build and maintain infrastructure that monitors functionality and performance of large-scale AI/ML workloads
  • Develop automation using Python and AWS tools (CI/CD, Grafana, Athena) to test, benchmark, and deliver software to customers
  • Design mechanisms to detect functional and performance regressions before they reach production
  • Work across many instance types, software stacks, and Linux environments

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