Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of Amazon innovation and one of several Amazon tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is se…
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$168k–$227k/yr
Full-time
postgraduate degree
Health insurance, Dental insurance, Vision insurance, Prescription insurance, Basic life and AD&D insurance, Supplemental life plans
Posted 9d ago
~40 hrs/week
Responsibilities
You will design and implement reliable build, test, and release mechanisms for the Neuron compiler while creating distributed execution solutions for customer workloads. You will also collaborate with cross-functional teams to optimize neural network model performance on custom AWS hardware.
Requirements
Candidates must have at least 5 years of professional software development experience, including expertise in programming languages and system architecture. A strong background in the full software development life cycle and experience leading engineering teams are required.
Full job description
Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of Amazon innovation and one of several Amazon tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Senior 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 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 Senior SDE, 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 design and implement 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, 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.
Basic Qualifications:
- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications:
- Master's degree in computer science or equivalent
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
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