Overview
Silicon Design Engineer, Hardware Acceleration, YouTube — Google
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About The Job
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.
Responsibilities
- Own the development lifecycle for video hardware IP, ensure quality in design, verification, and system integration.
- Lead the design of video processing and compression blocks, integrating Machine Learning (ML) innovations to enhance video quality and compression efficiency while balancing performance, power, and area. Utilize high-level synthesis (HLS) to accelerate algorithm design and verification.
- Develop and implement thorough verification strategies and plans, and guide the team to ensure bug-free IP delivery.
- Lead the resolution of complex technical challenges across design, verification, and silicon validation to meet project milestones.
- Serve as a video hardware acceleration expert, mentor engineers and collaborate with cross-functional teams (architecture, software, product) to define requirements and deliver optimized hardware. Contribute to Google\'s long-term video hardware roadmap by tracking industry trends and identifying innovation opportunities.
Qualifications
- Bachelor\'s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience with silicon development (e.g., research, algorithm development, digital and physical design, implementation, verification, bring-up and post-silicon maintenance).
- Experience in ASIC hardware architecture and silicon design.
- Experience in coding with C or C++, and scripting languages, such as Perl or Python.
- Experience in RTL coding using Verilog or SystemVerilog.
Preferred qualifications
- Master\'s degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- 10 years of experience in the field of ASIC/SoC development.
- Experience with Machine Learning (ML) acceleration hardware or applying ML to video processing/compression, demonstrating system-level problem-solving across hardware and software.
- Experience across the full Application-Specific Integrated Circuit (ASIC) design flow, including UVM/OVM verification, synthesis, and timing closure.
- Experience leading projects with HLS tools like Vivado HLS and Catapult.
- Ability to lead RandD of silicon algorithms and program execution.
Other
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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