- 5+ years of noninternship professional software development experience
- 5+ years of programming using a modern programming language such as Java, C++, or C#, including objectoriented design 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
- 3+ years of experience writing code to train and/or deploy deep learning models in PyTorch
- Bachelor's degree in computer science or equivalent
- Experience deploying Generative AI applications with large language or vision models into production.
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Amazon Development Center U.S., Inc. - B02 San Francisco, United States PermanentAnnapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. · More and more customers run their ...
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Amazon Development Center U.S., Inc. - B02 Cupertino, United StatesJob Description · Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. · More and more cu ...
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Amazon Cupertino, United StatesJob summary · Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. · We are seeking an experienced Design Verification Engineers to build the ne ...
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Sr. Machine Learning Engineer, Annapurna ML - Cupertino, United States - Annapurna Labs (U.S.) Inc.
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Description
Annapurna ML pathfinding team is a new function within the Annapurna ML go-to-market org that help customers accelerate their adoption of Annapurna ML products including AWS Trainium and AWS Inferentia.
The team offers hands-on data science and coding services to our most strategic customer opportunities to launch their training and inference workloads on AWS purpose built ML silicon offerings.
Key job responsibilitiesIn this customer-facing role, you will be responsible for helping our most strategic customers port their models to the AWS Trainium & Inferentia platforms by delivering high-quality code and customizations to make the models functional and performant.
You will use and provide feedback to the various Neuron SDK libraries and help prototype and develop new features based on the latest research findings and customer requests.
A day in the lifeYou will be required to assist our most strategic customers in porting their models to AWS Trainium and Inferentia.
You will work directly with customer data scientists and ML engineering teams and write code to have the models be performant on AWS purpose-built silicon solutions.
You will also be responsible for porting the latest open-source models to AWS Trainium/Inferentia. You will also contribute to open-source projects to help add support for AWS Trainium/Inferentia in popular projects.
It will require a close collaboration with the Neuron engineering team to help drive the Neuron product roadmap and give feedback on improving product quality.
Our team's mission is to provide the fastest, cost-effective and user-friendly place to train and deploy Generative AI workloads in the cloud.
The team provides white-glove service to our most strategic customers to implement their models for both training and inference using the Neuron SDK associated libraries and APIs.
We are open to hiring candidates to work out of one of the following locations:Cupertino, CA, USA
BASIC QUALIFICATIONS
