Senior Runtime Software Development Engineer, Neuron Runtime

AWS AI is revolutionizing deep learning accessibility through the AWS Neuron SDK, a comprehensive software stack for AWS Inferentia and Trainium machine learning accelerators. As a Senior Runtime Software Development Engineer, you'll join an innovative team at Annapurna Labs working on high-performance Linux drivers and HPC technologies. This role combines cutting-edge AI infrastructure development with system-level programming, requiring expertise in performance optimization and operational excellence.

The position offers the opportunity to work with thought leaders in multiple technology areas, solving complex challenges in machine learning acceleration. You'll be part of AWS's mission to democratize access to cutting-edge AI infrastructure, working on products that directly impact developers worldwide. The role demands high standards and continuous innovation, as you'll be responsible for improving product performance, quality, and cost-effectiveness.

AWS values diverse experiences and work-life harmony, offering a collaborative environment where you can grow professionally. The company provides comprehensive benefits and supports ongoing learning through mentorship and career development resources. As part of the AWS Machine Learning team, you'll contribute to transformative technologies while working alongside industry experts.

The role is based in either Seattle, WA or Cupertino, CA, offering competitive compensation ranging from $151,300 to $261,500 per year, depending on location and experience. This is an excellent opportunity for experienced engineers passionate about machine learning infrastructure and system-level software development to make a significant impact in the cloud computing industry.

Key technologies you'll work with include Linux drivers, libfabric, MPI, and various HPC technologies, all while maintaining AWS's high standards for operational excellence. The position offers the perfect blend of technical challenge and business impact, making it ideal for those looking to advance their careers in machine learning infrastructure development.