Software Engineer II, Annapurna Labs

Location: Sant'Ambrogio di Torino

Overview
AWS Utility Computing (UC) provides product innovations … from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years.
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud‑scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This position is for a Software Engineer that will lead the development of machine learning tools to run, optimize, and analyze machine learning workloads. This candidate must have had experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers.

Deep knowledge of profiling and optimization, resource management, scheduling, code generation are needed. The ideal candidate will have worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute.

Key Responsibilities

This engineer will lead the design and implementation of new tools, pipelines and automation, and work with developers, system architects, hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next‑generation AI accelerators.
Design, implement, and maintain CI/CD pipelines to automate the software release process.
Collaborate with development teams to integrate new software releases.
Manage and automate infrastructure provisioning and ensure high availability and scalability of systems through effective infrastructure management.
Implement monitoring solutions to track system performance and identify bottlenecks and optimize system performance.
Implement security best practices in the Dev Ops pipeline and conduct regular vulnerability assessments and risk management.

Top Reasons to Join Our Team

Be a catalyst to deliver truly disruptive products that are growing rapidly.
Define, build, own, and run a service in a high growth environment.
Build and influence the tools and utilities that are part of the Annapurna Labs.
Learn from industry recognized Amazon distinguished engineers.

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.
Basic Qualifications

3+ years of non‑internship professional software development experience.
2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
Experience programming with at least one software programming language.

Preferred Qualifications

3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
Bachelor’s degree in computer science or equivalent.

Additional Information
Amazon is an equal opportunity employer and does not discriminate on the basis of protected…