Annapurna Labs Senior Software Engineer, Machine Learning Accelerator Technology

hace 5 días


Madrid, España Amazon A tiempo completo

.Senior Software Engineer, Machine Learning Accelerator TechnologyAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The MLA Technology team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and view the software to drive these technologies as the deliverable.Do you like hacking memory using PCIe expansion cards? Great Do you read data sheets like others read the news? Great Done some embedded programming? Great Messed with FPGAs? Great Hacked your autonomous vacuum cleaner? Great Let the magic smoke out once or twice? Didn't we all ... Did this make you smile? Awesome.Our team writes software focused on hardware for the most advanced servers in the world. If that interests you, come join our teamKey job responsibilitiesMembers of the team are responsible for software related to machine learning hardware at all points in the hardware life cycle.Working with silicon design and hardware design teams across EC2.Developing software which can be maintained, improved upon, documented, tested, and reused.A day in the lifeThe MLA Technology team was formed to focus on server software primarily for debug, testing, qualification, and manufacturing. No software is too low level for us. No software is too high level for us. At a high-level our goal is to find ways to help the organization scale through the use of software and automation as it relates to specific hardware technologies.About the teamOur 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



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