Annapurna Labs
Technology
SoftwareDevelopmentEngineer,DistributedSystems
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer, Distributed Systems at Annapurna Labs. Skills: Distributed systems, Compiler engineering, Machine learning. Identify solutions. Design solutions”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design experience, Programming experience one language
Nice to Have
3+ years full SDLC experience, Bachelor's degree computer science
What You'll Do.
Enable efficient build
Enable reliable build
Enable efficient test
Enable efficient release
Enable reliable release
Design distributed execution
Implement distributed execution
Run customer workloads
Solve technical problems
Design software solutions
Implement software solutions
Test software solutions
Deploy software solutions
Maintain software solutions
Transform service performance
Transform service durability
Transform service cost
Transform service security
Build high-quality products
Build highly available products
Build always-on products
Research implementations
Resolve root cause defects
Build high-impact solutions
Participate design discussions
Participate code review
Communicate stakeholders
Drive business decisions
Collaborate cross-functionally
How You'll Work.
Team & Collaboration
Cross-functional teams; Compiler engineers; Hardware engineers; ML engineers
Communication Scope
Technical communications
Full Job Description
Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Software Development Engineer to support the development infrastructure of a compiler to enable the world's largest ML workloads to run efficiently in the cloud. Amazon Annapurna Labs organization is responsible for silicon development at AWS. Organization covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution. As a Software Development Engineer on the team, you will be responsible for identifying and designing solutions that enable efficient and reliable build, test, and release mechanisms for the Neuron compiler. You will participate in design and implementation of a solution for distributed execution of the Neuron compiler that will help to run customer workloads more efficiently. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams, bringing new products/features to market, and many other exciting projects. 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, a
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