Senior Machine Learning Compiler Engineer - Seattle

At Annapurna Labs, I focus on developing custom Machine Learning accelerators that lead AWS innovation and are integral to building Generative AI solutions on AWS. Our Neuron Compiler Engineering team is essential in creating the development infrastructure that allows the world's largest ML workloads to operate efficiently in the cloud. I encourage you to envision your workday as you collaborate on software architecture efficiencies. You'll create metrics, implement automation and improvements, and address software defects' root causes. Your contributions will directly impact our extensive customer base through innovative solutions. You will engage in design discussions, perform code reviews, and communicate with both internal and external stakeholders. Working cross-functionally, your technical insights will drive business decisions in a dynamic, startup-like environment, focusing on the most critical tasks. Preferred Qualifications: - A Master’s degree in computer science or an equivalent field. - Experience in compiler development. We embrace diversity at Amazon, promoting an inclusive culture that empowers everyone to achieve the best outcomes for our customers. If you require workplace accommodations or adjustments during the application and hiring process, please refer to our accommodations page for further information. For this position, the base pay ranges from $151,300 to $261,500 per year, depending on geographic market and job-related knowledge, skills, and experience. Additionally, Amazon offers a comprehensive total compensation package, which may include equity, sign-on bonuses, and other benefits. More details can be found on our employee benefits page. This position will remain open until filled, and I encourage you to apply through our career website.