Software Dev Engineer - AI/ML, AWS Neuron Distributed Training

Are you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are the dubbed the "secret sauce" behind AWS's success with development centers in the U.S. and Israel, Annarpuna is at the forefront of innovation by combining cloud scale with the world's most talented engineers.

The Annapurna team hires for multiple disciplines including Software and Hardware engineers, compiler engineers, machine learning engineers, runtime engineers, performance engineers, ML chip accelerator specialists, ASIC designers, physical designers, and SDE in Test. Our team's breadth of talent has enabled us to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.

As an SDE ML Apps Engineer, you will work alongside Research Engineers and Applied Scientists to build backend science components, including deep learning models that power our platform. Our platform enables non-tech-savvy customers to understand and solve their computer vision problems.

Key job responsibilities:

• Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety
• Writing requirements capturing documents, design documents, integration test plans, and deployment plans
• Communicating status and progress of deliverables to schedule, and sharing learnings/innovations with your team and stakeholders

This role offers an exciting opportunity to work on cutting-edge AI/ML technologies and contribute to AWS's cloud infrastructure improvements.