Senior Software Engineer, TPU, Google Cloud Platform

9 Months ago • 5-8 Years
Research Development

Job Description

As a Senior Software Engineer focusing on TPUs within Google Cloud Platform, you'll architect, design, and build firmware for embedded microcontrollers. Responsibilities include managing project priorities, developing software solutions, deploying ASICs, creating debugging tools, building simulators, and collaborating with hardware teams. You'll work on all layers of the data center software stack, contributing to ASIC design verification and bring-up. This role demands expertise in C/C++, system software development, and experience with embedded systems, hardware/software co-design, and potentially machine learning.
Good To Have:
  • Master's or PhD in CS
  • Chip-level hardware/software co-design
  • Embedded systems experience
  • HBM, PCIe, ARM familiarity
  • Security/Confidential computing knowledge
  • Machine Learning familiarity
Must Have:
  • 5+ years software development experience
  • 5+ years system software (C/C++)
  • 3+ years software product experience
  • Experience with embedded microcontrollers
  • Hardware/software co-design expertise

Add these skills to join the top 1% applicants for this job

algorithms
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google-cloud-platform
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problem-solving
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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.
  • 5 years of experience in system software development in C or C++.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • Experience in hardware/software co-design at the chip-level.
  • Experience in embedded systems.
  • Familiarity with High-Bandwidth Memory (HBM), Peripheral Component Interconnect Express (PCIe), and ARM.
  • Familiarity with security and confidential computing.
  • Familiarity with Machine Learning.

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.

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

  • Architect, design, and build firmware running on embedded microcontrollers with limited memory footprints on the accelerator ASIC such as power-on and reset of the ASICs, initializing low level hardware, power management, and security.
  • Contribute to all layers of the data center software stack to deploy accelerator Application-Specific Integrated Circuits (ASICs) to production.
  • Architect, design and develop tools to update and debug ASIC firmware. Enable chip bring-up and hardware debugging.
  • Build functional or cycle level simulators that bit accurately and model the custom accelerator ASICs. Build tools and infrastructure to help ASIC design verification, tapeout, and bring-up. Develop embedded CPU simulators as part of the full system simulator.
  • Co-design hardware/software interface, working closely with the Hardware Design and Development teams.

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