Amazon Sr Embedded Software Development Engineer Machine Learning Accelerators 

United States, Texas, Austin 

985478617

You'll also work closely with our architecture and design teams to drive hardware/software co-design, developing both firmware and custom hardware that enables ML within our accelerator chips. Our team's charter is to make deep learning pervasive for everyday software developers and to democratize access to industry leading infrastructure - you'll be enabling that vision from the ground up.We invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs!This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry.You'll learn about the inner workings of ML and our accelerators as part of your onboarding, so no in-depth ML knowledge is required for this role, but any ML background you have will be helpful.Key job responsibilities- Software / hardware architecture and co-design
- Facilitate and lead embedded systems architecture / design sessions- Embedded software development, testing, debug, and performance improvements
- Test suite and infrastructure development
- Developing software which can be maintained, improved upon, documented, tested, and reused

- Bachelor's degree in computer science or equivalent
- 6+ years of non-internship professional software development experience
- 5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
- 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience in embedded development in C/C++
- Experience in computer architecture