PpAWS Utility Computing (UC) provides product Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago— even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. /p pWe are seeking an experienced Power Architect to join our Machine Learning Acceleration team. In this role, you will be responsible for developing and implementing power architecture solutions, optimizing power consumption, and managing thermal constraints for ML accelerator designs in Amazon data centers. You will work closely with cross‑functional teams to deliver innovative power management solutions that maximize performance while maintaining power efficiency. /p pThis position requires a combination of technical expertise and leadership skills, with a focus on delivering innovative power solutions for machine learning acceleration platforms. The ideal candidate will have a proven track record of developing power architecture solutions and the ability to lead teams in delivering customer‑focused results. /p h3Key job responsibilities /h3 ul liDesign and implement comprehensive power architecture solutions for ML accelerator platforms. /li liDevelop and optimize DVFS (Dynamic Voltage and Frequency Scaling) flows and power control schemes. /li liCreate and validate power management algorithms for various operating conditions. /li liLead peak power management initiatives and develop solutions for di/dt handling. /li liAnalyze and optimize workloads for optimal power-performance trade‑offs. /li liDrive cross‑functional collaboration with software teams to develop, integrate and verify power management solutions across the hardware‑software stack. /li liCollaborate with RTL and pre‑silicon teams to ensure power requirements are met throughout the design flow. /li liCreate power models and develop automation scripts for power analysis. /li liProvide technical leadership and mentoring to team members. /li liPartner with cross‑functional teams to drive power architecture requirements and solutions. /li /ul pAbout the team /p pOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge‑sharing and mentorship. Our senior members enjoy one‑on‑one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help your team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. /p pWe want to create a culture that supports diversity and inclusion. /p h3Basic qualifications /h3 ul liBachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field. /li li3+ years of experience in power architecture and management. /li liStrong background in DVFS flows and power optimization techniques. /li liProven experience in designing power control schemes and algorithms. /li liDemonstrated expertise in peak power management and di/dt handling. /li liProficiency in Python programming for scripting and modeling. /li liExperience with workload optimization for power and performance. /li liWorking knowledge of C/C++ programming and software development lifecycle. /li liUnderstanding of RTL design and pre‑silicon validation flow. /li liStrong analytical and problem‑solving skills. /li /ul h3Preferred qualifications /h3 ul liMaster’s degree or equivalent. /li li10+ years of experience in power architecture for high‑performance computing systems. /li liExperience with machine learning accelerator architectures. /li liTrack record of leading complex technical projects. /li liExperience with power modeling and analysis tools. /li liPublished papers or patents in power architecture or related fields. /li liStrong leadership skills with demonstrated ability to take ownership of complex projects, deliver results in a fast‑paced environment, and drive customer‑focused solutions. /li liExperience with data center power management solutions. /li liKnowledge of industry standards and specifications related to power management. /li liExcellent communication and presentation skills. /li /ul pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p pLos Angeles County applicants: The job duties for this position include work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. /p pOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the Amazon accommodations page for more information. /p pOur compensation reflects cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $257,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical, financial, and/or other benefits. /p /p #J-18808-Ljbffr