Amazon

Technology

SoftwareDevelopmentEngineer,MLSystems,AnnapurnaLabs

$100–214k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Software Development Engineer, ML Systems, Annapurna Labs at Amazon. Skills: Generative AI, ML Systems, AWS Neuron. Research implementations for customers. Improve porting and optimization time”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Problem solving

What They're Looking For.

Must Have

3+ years software development experience, 2+ years system design experience, Experience programming one language, Computer Science core knowledge, Experience with ML compilers, Experience with production coding agents, Experience with GenAI model architecture, Experience with model training, Experience with neural network optimization, Experience with applied math

Nice to Have

3+ years full SDLC experience, 2+ years ML experience, Experience building AI agents, Experience with open-source communities, Knowledge of state-of-the-art ML

What You'll Do.

Research implementations for customers

Improve porting and optimization time

Solve challenging technical problems

Design innovative software solutions

Implement innovative software solutions

Test innovative software solutions

Deploy innovative software solutions

Maintain innovative software solutions

Build high-quality products

Build highly available products

Build always-on products

Contribute intellectual property

Resolve software defects

Build high-impact solutions

Participate in design discussions

Participate in code review

Communicate with stakeholders

Drive business decisions

Collaborate with compiler engineers

Collaborate with hardware engineers

Collaborate with ML engineers

How You'll Work.

Team & Collaboration

Cross-functional teams; External partners; Internal stakeholders

Communication Scope

Technical input; Stakeholder communication

Process & Methodology

Agile, Scrum

Full Job Description

About the Team The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs’ location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. 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. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler

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