Senior Software Development Engineer - Generative AI, Neuron SDK

Amazon; New York (NY); On-site; USD 170,000 - 230,000; Full time

Job summary

Amazon Annapurna Labs invites a Senior Software Development Engineer to join a diverse team innovating in silicon and software for AWS customers. You will build and optimize AI agents and ML software, collaborating with compiler, hardware, and ML engineers to accelerate adoption of Neuron, Trainium and Inferentia technologies.

You will design and code across multiple layers, from systems to services, while maintaining high performance, security, and reliability in a cloud-scale environment.

Responsibilities

• Solve challenging technical problems at every layer of the stack.
• Design, implement, test, deploy and maintain software 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.

Job description

Description

About Amazon Annapurna Labs:

Amazon Annapurna Labs team is responsible for building innovation in silicon and software for our Amazon 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 teams breadth of talent, we have been able to improve Amazon's cloud infrastructure in high-performance machine learning with Amazon 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 Amazon Neuron:

Amazon 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 Amazon Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.

You will join a dynamic team building and applying AI agents to simplify and accelerate customer adoption of Trainium and Inferentia. As a Sr. SDE you will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology.

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

As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:

• Build high-impact solutions to deliver to our large customer base.
• Participate in design discussions, code review, and communicate with internal and external stakeholders.
• Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers
• Work in a startup-like development environment, where you’re always working on the most important stuff