Silicon Design Engineer, Hardware Acceleration, YouTube

Minimum 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.

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.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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.