ASIC Platform Software Architect, Silicon

Key Skills

API, C Programming, C++, Data Architecture, Data Modeling, Design, Java Programming, Python Programming, SQL

Job Description

Minimum qualifications:

• 7 years of experience in consumer electronics/embedded systems design.
• Experience with C or C++.
• Experience with software architecture.

Preferred qualifications:

• 10 years of experience driving ASIC architecture decisions from a software point of view.
• 10 years of software design and development experience for typical software layers found in ASIC: boot, drivers, embedded firmware, libraries, and API for applications.
• Comprehensive knowledge of interaction types between hardware and software for different types of standard hardware blocks, CPU, and accelerators.

About the job

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.

As a Software Architect, you'll understand software product requirements, use cases, applications, and how they relate to specific hardware blocks or sub-systems. You will represent the software team, working on system architecture definition of hardware blocks with Hardware Architects, and the implementation definition with the Hardware Implementation team. In this role, you will define and/or influence their work with the goal of ensuring fulfillment of software requirements, working towards optimal software programming model and interfaces, discussing hardware/software trade-off solutions, ensuring scalability to future software and applications and backwards compatibility. You will strive to make data-driven decisions adopting and/or developing a modeling platform that will help you side your requests.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and 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 and Services team is making people's lives better through technology.

Responsibilities

• Collaborate with stakeholders such as product management, architecture, silicon architecture, silicon implementation, silicon software, and product software engineering to identify user experience characteristics and how they can be mapped onto hardware. 
• Understand interactions between hardware components and work towards the definition of architecture and block’s interactions design, providing options and/or trade-offs, identifying issues, and driving them to resolution.
• Design architecture and software interfaces that enable a software programming model that can delight our application developers, and allow them to use hardware accelerators seamlessly and timely.
• Design architecture that assures security and privacy of the data for applications that are sensitive to it.
• Adopt and/or develop the software architecture modeling platform to model features requests explicitly, and support their inclusion in the hardware using a data-driven approach about their benefits.