Description
Our team is responsible for the AWS Neuron Compiler, a cutting-edge deep learning compiler stack that powers Generative AI and other advanced ML workloads on AWS’s custom-built ML accelerators — Inferentia and Trainium. These accelerators deliver best-in-class performance and cost-efficiency for ML inference and training in the cloud.
We’re Building a New Core Group Of Engineers In TLV To Drive Innovation In Compiler Technology And Systems-level ML Software. As a Machine Learning Compiler Engineer, You’ll Help Shape The Direction Of The Team From The Ground Up And Work On
Designing and optimizing compiler features for high-performance ML workloads
Solving complex challenges in areas like graph optimization, code generation, and hardware-software co-design
Collaborating across Runtime, Frameworks, and Hardware teams to maximize end-to-end performance
As part of the Backend Compiler Team, you’ll contribute to projects involving instruction scheduling, memory management, parallelism, graph partitioning, ISA design, and new hardware bring-up.
This is a unique opportunity to be at the intersection of ML and systems within AWS, helping to build the future of AI infrastructure — right here in Tel Aviv.
Key job responsibilities
Our Engineers Collaborate Across Diverse Teams, Projects, And Environments To Have a Firsthand Impact On Our Global Customer Base. You Will
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.
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.
Work in a startup-like development environment, where you’re always working on the most important st
Basic Qualifications
- B.S. or M.S. in computer science or related field
- Proficiency with 1 or more of the following programming languages: C++ (preferred), Python
- 3+ years of non-internship professional software development experience
- 3+ years of experience developing compiler optimization, graph-theory, hardware bring-up, FPGA placement and routing algorithms, or hardware resource management
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Company - Annapurna Labs Ltd.
Job ID: A3044354
