AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like Amazon S3 and EC2. Within UC, the Machine Learning Acceleration (MLA) team develops cutting-edge Inferentia and Trainium SOCs that power AI workloads in datacenters worldwide.
As a Circuit Design & Analysis Engineer at Annapurna Labs, you'll be instrumental in driving improvements in silicon yield & performance. This role combines expertise in custom circuit design & analysis with system-level thermal & power analysis, requiring a proven track record of handling challenges at scale.
You'll work directly with product engineers, signal & power integrity engineers, and physical design experts to define best practices, drive correlation of pre-silicon simulation to post-silicon analysis, and develop custom circuits for state-of-the-art machine learning hardware.
Key responsibilities include designing and implementing custom cells/IP, developing characterization flows, owning integration & post-silicon qualification of critical IPs (PLL, PCIE, UCIE, HBM, sensors/monitors), and automating analysis workflows. You'll also develop test plans and perform lab measurements to correlate with simulation data.
The role offers exciting opportunities to:
AWS values work-life harmony and fosters an inclusive culture through employee-led affinity groups. You'll find endless knowledge-sharing opportunities, mentorship, and career-advancing resources to help you develop as a professional. We welcome candidates with diverse experiences, whether your career is just starting or has followed a non-traditional path.
The position offers competitive compensation ranging from $129,800 to $212,800 per year, based on geographic location, plus equity and comprehensive benefits. Join us in shaping the future of cloud computing and machine learning acceleration!