Google welcomes people with disabilities. 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 with High-Bandwidth Memory (HBM), Peripheral Component Interconnect Express (PCIe), and ARM. + Experience in hardware/software co-design at the chip-level. + Experience with security and confidential computing. + Experience with Machine Learning. + Experience in embedded systems. 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. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. + Architect, design, and build firmware running on embedded microcontrollers with limited memory footprints on the accelerator Application-Specific Integrated Circuit (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 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, work with the Hardware Design and Development teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.