Software Engineer, Runtime, Silicon
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g.,C++, Python).
- 1 year of experience with data structures or algorithms.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field with an emphasis on embedded systems or compute accelerators.
- Experience in Software development with C++, embedded APIs/runtime/firmware/applications targeting hardware accelerators such as DSPs, GPUs and TPUs.
- Experience in Performance/Power analysis and optimization particularly in the domains of embedded systems or Machine Learning (ML).
- Experience in Android/Linux/Custom RTOS.
- Knowledge of operating systems internals.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Runtime team enables app developers to leverage the capabilities of custom compute IPs present on the Tensor System on a Chip (SoC). Responsibilities range from definition of custom APIs for the internal use-cases such as Camera and Speech, to developing user-space Runtime and Firmware that enables these applications to run on the device.
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Responsibilities
- Build scalable and low-overhead C++ based runtime and firmware for high-performance compute on the Tensor SoC.
- Define stable, backward-compatible Application programming interfaces (API) 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 the device.
- Develop unit 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.
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