Machine Learning Hardware Architect, Platforms

Key Skills

Java Programming, Python Programming, SQL, PowerBI, Machine learning techniques, Deep Learning, PyTorch, TensorFlow, VR/AR frameworks

Job Description

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent practical experience.
• 10 years of relevant work experience in computer or chip architecture.
• Experience with semiconductor technologies and trends, including process, memory, interconnect, and packaging.

Preferred qualifications:

• Knowledge of Machine Learning market, technological and business trends, software ecosystem, and emerging applications.
• Proven track record architecting hardware solutions for Machine Learning.
• Experience with deep learning frameworks including TensorFlow and PyTorch.
• Strong track record of outreach to ML researchers and application developers.

About the job

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

The Platforms team creates the custom chips at the heart of Google’s Tensor Processing Units. Working with the Google AI community and with external partners, we combine the latest innovations in Machine Learning and integrated circuits to create advanced hardware acceleration solutions for Machine Learning training and inference.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Create differentiated architectural innovations for Google’s semiconductor TPU roadmap.
• Monitor industrial and academic trends in artificial intelligence and determine where they should intersect our roadmaps.
• Evaluate the power, performance, and cost of prospective architecture and subsystems.
• Engage with system and application software engineers to ensure optimization of the entire hardware/software stack.
• Engage with design, verification, and validation engineers to realize the architecture.