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ASIC Design Lead, Machine Learning, Silicon

Karnataka, India (On-site)

ASIC Design Lead, Machine Learning, Silicon

1 Hour ago • 10 Years + • Research & Development

About the job

2 skills required for this role

Add these skills to join the top 1% applicants for this job

innovation

cross-functional

Job Description

Lead a team of RTL engineers in designing complex machine learning compute IPs for Google's direct-to-consumer products. Responsibilities include planning and leading the design process, interacting with software and architecture engineers, ensuring design functionality with verification and validation teams, providing input on synthesis and physical design, and guiding the team for optimal Power Performance Area (PPA) benchmarks. This role requires extensive experience in RTL design and leading SoC subsystem development, from conception to production. Successful candidates will collaborate with cross-functional teams throughout the entire design lifecycle, from initial architecture to silicon bring-up, ensuring successful implementation and tape-out.

Must have:

10+ years RTL design experience
SoC subsystem development experience
Cross-functional team collaboration
Machine learning compute IP design
Leadership and team management skills

Good to have:

Master's/PhD in related field
Experience across architecture, micro-architecture, verification, implementation, emulation, and silicon bring-up
High-performance compute IP experience (GPUs, DSPs, NPUs)

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
10 years of experience in RTL design.
Experience leading a team completing the full development cycle of SoC subsystems (e.g., Neural Processing Units, GPU, DSP, or processors, from conception to production).
Experience working cross-functionally with Software, Architecture, Design Verification, and SoC integration teams.

Preferred qualifications:

Master's degree or PhD in Computer Science, Electrical Engineering, or a related field.
Experience in engineering across architecture, micro-architecture, design verification, implementation, emulation, and silicon bring-up.
Experience with high performance compute IPs (e.g., GPUs, DSPs, or Neural Processing Units).

About the job

Be part of a diverse 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.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

Manage a team of RTL engineers, plan and lead the design of complex machine learning compute IPs by fully understanding the architecture specification, and interact with software and architecture engineers to identify important design requirements.
Engage with Verification and Silicon Validation teams to ensure functionality of the design.
Provide input on synthesis, timing closure, and physical design of digital blocks.
Participate, guide, and motivate the team for timely execution and exceptional Power Performance Area (PPA) benchmarks for these IPs that will go into a wide range of SoCs.
Work with SoC Design and other cross-functional implementation teams to make sure the IP design is successfully implemented through the downstream domains all the way to tape-out.

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About The Company

Google

2744 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.