Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud

Shape the future of AI/ML hardware acceleration as a Machine Learning Hardware Architect within the Co-design team. Drive cutting-edge TPU technology and develop custom silicon solutions that power Google's most demanding AI/ML applications.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
• 12 years of experience in computer architecture, chip architecture, or hardware-software co-design
• Experience architecting and developing software systems in C++ or Python for performance modeling, simulation, or system analysis

Benefits

• Competitive salary and benefits package
• Opportunity to work on cutting-edge AI/ML hardware acceleration
• Collaborative and innovative work environment