AWS Utility Computing (UC) is at the forefront of cloud innovation, housing the development of foundational services like S3 and EC2. Within UC, Annapurna Labs designs cutting-edge silicon and software solutions that push the boundaries of cloud computing. As a Lab Engineer on the Machine Learning Acceleration team, you'll play a crucial role in managing lab activities and developing automation solutions. This position combines hands-on technical work with lab management responsibilities, requiring expertise in both hardware and software domains.
The role offers an opportunity to work with state-of-the-art technology in machine learning hardware acceleration, while collaborating with diverse teams across AWS. You'll be part of an inclusive culture that values knowledge-sharing and mentorship, with access to extensive career development resources. The position is ideal for someone who thrives in a fast-paced environment and can manage multiple projects across different sites.
AWS values diverse experiences and backgrounds, welcoming candidates from traditional and non-traditional paths. The team culture emphasizes continuous learning, work-life harmony, and professional growth. You'll be joining a company that's leading the cloud computing revolution, working on projects that directly impact how businesses and organizations operate worldwide.
The position offers competitive benefits, including comprehensive healthcare coverage, and opportunities for career advancement. You'll be working in Austin, Texas, as part of a team that's dedicated to pushing the boundaries of what's possible in cloud computing and machine learning acceleration.