
Organizing the world's information and making it universally accessible.
Machine Learning Design Engineer, Silicon
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Set technical direction for the team within the capacity of technical lead and people manager.
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Engage with Machine Learning System Architects and Software teams to define specifications and implement digital logic using Chisel, Verilog, and/or System Verilog.
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Engage with Verification and Silicon Validation teams to ensure functionality of the design.
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Perform power, area, and performance trade-offs of digital designs and architectures.
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Apply engineering best practices (e.g., code review, testing, refactoring) to the design and implementation of ASIC blocks.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
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Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
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8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or System Verilog.
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Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques.
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Google specializes in internet-related services and products, including search, advertising, and software.
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Innovative and interesting work
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$203,110
Interview experience
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3.4
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Duration
14-28 weeks
Offer rate
44%
Experience
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Application Review
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Online Assessment/Technical Screen
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Phone Screen
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Team Matching
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