Multimedia Machine Learning Silicon Architect, Devices and Services
Description For Multimedia Machine Learning Silicon Architect, Devices and Services
Google is seeking a Multimedia Machine Learning Silicon Architect to join their Devices and Services team. This role combines cutting-edge machine learning with hardware architecture to develop custom silicon solutions for Google's direct-to-consumer products. The position requires expertise in both ML and hardware architecture, focusing on developing system architectures with hardware acceleration for multimedia applications.
The ideal candidate will work at the intersection of research, algorithms, and hardware implementation, defining end-to-end ML acceleration solutions that include both custom hardware and software. They will be responsible for analyzing ML workloads, designing hardware-oriented networks, and delivering comprehensive architecture specifications that enable Google-exclusive on-device experiences.
The role offers an opportunity to impact millions of users worldwide by shaping the next generation of hardware experiences. Working with a diverse team, you'll push boundaries in performance, efficiency, and integration. The position requires a strong background in electrical engineering or computer science, with specific expertise in machine learning and multimedia technologies.
Key responsibilities include analyzing ML workloads, designing acceleration architectures, and collaborating with algorithm owners. The role offers competitive compensation, including a base salary range of $127,000-$187,000, plus bonus, equity, and benefits. This is an excellent opportunity for someone passionate about combining ML expertise with hardware architecture to create innovative solutions that advance Google's mission of organizing world's information and making it universally accessible.
Responsibilities For Multimedia Machine Learning Silicon Architect, Devices and Services
- Analyze key Machine Learning (ML) workloads, related user's experience and identify hardware acceleration opportunities
- Explore design space and map end-to-end user experience to hardware (HW) and software (SW) components on SoC
- Design Machine Learning (ML) acceleration architecture with comprehensive architectural and quality analyses
- Collaborate with algorithm owners to design hardware-oriented networks
- Deliver comprehensive architecture specification and analyses
Requirements For Multimedia Machine Learning Silicon Architect, Devices and Services
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
- 3 years of experience in machine learning or multimedia technologies
- Experience in architecture or silicon engineering such as computer architecture, Digital Signal Processor (DSP) circuits, Very-Large-Scale Integration (VLSI), Register-Transfer Level (RTL)
Benefits For Multimedia Machine Learning Silicon Architect, Devices and Services
- bonus
- equity
- benefits
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