Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience in areas of embedded APIs/runtime/firmware or applications targeting hardware accelerators such as DSPs, GPUs, and TPUs.
- Master's degree in Computer Science, Computer Engineering, or Electrical Engineering.
- Experience with performance/power analysis and optimization particularly in the domains of embedded systems or machine learning.
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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.
The Runtime team enables app developers to leverage the capabilities of custom compute IPs present on the Tensor SoC. Responsibilities range from definition of custom APIs for our internal use-cases such as Camera and Speech, to developing user-space Runtime and Firmware that enables these applications to run on the device.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
- Build scalable and low-overhead C++ based runtime and firmware for high-performance compute on the Tensor SoC.
- Define stable, backward-compatible APIs that allow applications to leverage compute acceleration efficiently. Work closely with first-party app developers on Google devices to ensure a good user experience on device.
- Develop unit tests and end-to-end tests that comprehensively validate the software stack.
- Develop tools and infrastructure that enables customers to easily integrate and test their code.
- Help set the direction for new system architectures to support future applications such as heterogeneous compute.