This job offer is no longer available
About
AWS Machine Learning accelerators are revolutionizing the cloud computing landscape, serving as essential tools for building Generative AI on AWS. Our Inferentia chip is designed for unparalleled ML inference performance at the most competitive prices, while Trainium aims to provide top-tier ML training capabilities with outstanding compute power. This innovation is supported by the AWS Neuron Software Development Kit (SDK), which features a machine learning compiler and runtime that seamlessly integrates with leading ML frameworks like PyTorch, TensorFlow, and MXNet. Companies such as Snap, Autodesk, Alexa, and Rekognition are already benefiting from AWS Neuron and Inferentia. The Team:
The Amazon Annapurna Labs team is dedicated to cutting-edge silicon development at AWS, comprising experts across multiple disciplines, including silicon engineering, hardware design, software, and operations. The AWS Neuron team specifically focuses on optimizing complex neural network models for our specialized AWS hardware. Our goal is to develop a comprehensive deep learning compiler stack that translates neural network architectures created in popular frameworks like TensorFlow, PyTorch, and MXNET into executable code, pushing the boundaries of performance. You:
As a Senior Machine Learning Compiler Engineer on the AWS Neuron team, you will be a pivotal thought leader in the creation and scaling of a compiler capable of managing the most demanding ML workloads. You will architect and implement critical features, contribute to groundbreaking research, and mentor a talented team of engineers. leveraging your technical communication skills, you will collaborate closely with AWS ML services teams on pre-silicon design efforts and the launch of new products and features, as well as engage in various exciting initiatives. A background in Machine Learning and AI accelerators is highly valued. Location:
Applicants must either be located in Seattle or be willing to relocate. About the Team: Inclusive Team Culture
At AWS, we celebrate diversity and are committed to fostering an inclusive environment. Our employee-led affinity groups engage over 40,000 team members worldwide, supported by innovative benefit offerings and continuous learning opportunities, including conferences on race, ethnicity, and gender diversity. Our leadership principles emphasize the importance of diverse perspectives, curiosity, and trust-building. Work/Life Balance:
We prioritize a healthy work-life balance, focusing on creating effective and energizing routines. Flexibility in working hours is encouraged to allow team members to maintain their personal and professional lives in harmony. Mentorship & Career Growth:
New team members receive dedicated support from colleagues with varied experience levels. We foster knowledge sharing and mentorship, aiming to assign projects that help each team member grow into a more versatile professional capable of tackling complex challenges. Basic Qualifications: 5+ years of professional software development experience 5+ years of experience in programming with at least one software language 5+ years of experience leading design or architecture of new and existing systems 5+ years of experience across the entire software development life cycle, including coding standards, code reviews, source control management, and operations Previous experience as a mentor or tech lead Preferred Qualifications: Bachelor's degree in computer science or related field Amazon is an equal opportunity employer. Our inclusive culture empowers us to achieve exceptional results for our customers. If you require any adjustments during the application or hiring process, please reach out to your Recruiting Partner for assistance. Your compensation will reflect the cost of labor in different U.S. markets, with base pay ranging from $151,300 to $261,500 based on geographic location and relevant experience. Amazon is committed to providing a total compensation package that may include equity, sign-on payments, and a comprehensive benefits package. Please visit our employee benefits website for more information. This position will remain open until filled. Applicants should apply through our internal or external career site.
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.