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 consumer products. You'll work on developing system architectures with hardware acceleration for ML in multimedia applications, collaborating across research, algorithm, product, and implementation teams.
The position requires deep expertise in both machine learning and hardware architecture, with a focus on multimedia technologies. You'll be responsible for analyzing ML workloads, designing acceleration architectures, and creating comprehensive specifications that bridge the gap between user experience and hardware implementation.
The role offers an exciting opportunity to shape the future of Google's hardware experiences, working on products used by millions worldwide. You'll be part of a diverse team pushing the boundaries of what's possible in custom silicon solutions, with a focus on performance, efficiency, and integration.
Key responsibilities include analyzing ML workloads, exploring design spaces, creating acceleration architectures, and collaborating with algorithm owners. The ideal candidate will have a strong background in electrical engineering or computer science, with experience in machine learning and silicon engineering.
The position comes with competitive compensation including a base salary range of $127,000-$187,000, plus bonus, equity, and comprehensive benefits. You'll be working at Google's Mountain View location, contributing to Google's mission of organizing the world's information and making it universally accessible through innovative hardware solutions.
This is an excellent opportunity for someone passionate about the intersection of machine learning and hardware architecture, offering the chance to work on cutting-edge technology that directly impacts user experiences. The role combines technical depth with collaborative work across teams, making it ideal for someone who enjoys both deep technical work and cross-functional collaboration.
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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