Overview: Join our Machine Learning Acceleration (MLA) team at Amazon, where we design and develop SOCs that power AI workloads globally. As an ASIC Design Methodologies and Infrastructure Engineer, you will automate design flows and build large-scale solutions to enhance silicon development. This role requires collaboration with architects, designers, and verification engineers to refine design processes and introduce innovative automation solutions.
Read MoreOverview: Amazon Leo is seeking a skilled engineer to join its team focused on developing digital chip SOCs for communication via Low Earth Orbit satellites. This role offers the chance to create innovative wireless solutions that enhance connectivity for various users, including households, schools, and businesses.
Read MoreOverview: MACOM is a leading designer and manufacturer of semiconductor products for Data Center, Telecommunication, and Industrial and Defense applications, headquartered in Lowell, Massachusetts. With over 75 years of expertise, MACOM operates multiple design centers and manufacturing facilities globally, offering foundry services and a comprehensive product portfolio.
Read MoreOverview: Epia Neuro is a neural technology company focused on developing intent-driven systems to restore function and independence for individuals with neurological conditions. The company integrates implantable neural interfaces, adaptive algorithms, and assistive devices, initially targeting stroke-related motor impairment and expanding to cognitive decline and other neurological disorders, addressing the needs of the aging population.
Read MoreOverview: Join Apple's Silicon Engineering group to transform innovative ideas into reality by focusing on SOC power optimization automation. This role involves collaborating with cross-functional teams to enhance SOC power efficiency through advanced methodologies and machine learning techniques.
Read MoreOverview: Qualcomm Technologies, Inc. is seeking a skilled engineer to join its GPU ASICS Engineering team. The role involves architecting, designing, implementing, verifying, and optimizing GPU cores, with a focus on performance and power efficiency. The engineer will be responsible for verification of Graphics IP and conducting pre- and post-silicon verification to ensure compliance with performance and power goals.
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