An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Amazon's AWS Neuron Infra Services team is seeking a Software Engineer to lead the development of tools, pipelines, and automation for optimizing machine learning workloads on Inferentia/Trainium accelerators. You will drive architecture, delivery, and customer-facing improvements across EC2/EKS/Lambda-like services within AWS or comparable platforms.
You will work with developers, hardware engineers, and users to ensure compatibility with next generation AI accelerators, while building scalable
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the trn* and inf* servers that use them. This position is for a Software Engineer that will lead the development of various services that will aid in optimization, analysis and release of machine learning workloads and artifacts. This candidate must have had experience leading distributed systems and machine learning related projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of optimization, resource management, scheduling are needed. The ideal candidate will have experience working on services like EC2, EKS, Lambda in AWS or similar services on other cloud providers.
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:
The Neuron Infra Services team fosters a builder’s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.