Google | Hiring | Staff Software Engineer, Machine Learning Infrastructure, TensorFlow | Sunnyvale, CA | BigDataKB.com | 30 Sept 2022

Job Location: Sunnyvale, CA

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development and with data structures/algorithms
  • 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture
  • Experience with writing performance-critical code in Python and C++

Preferred qualifications:

  • Masterโ€™s degree or PhD in Engineering, Computer Science, or a related technical field
  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
  • Experience with machine learning algorithms and tools (e.g., TensorFlow or PyTorch), artificial intelligence, or deep 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 Googleโ€™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.

TensorFlow is the world’s premier machine learning framework, and the technology at the heart of Google’s AI-first strategy. It is used inside of Google, and is also a thriving open-source project. Working on TensorFlow is one of the most visible engineering roles at Google. In this role, you will solve problems far beyond Google. The TensorFlow Foundations team is responsible for the low-level core Python APIs that serve as the basis for all TensorFlow APIs and the high performance C++ code that lives underneath.

The Core team builds the technical foundation behind Googleโ€™s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Googleโ€™s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.


Responsibilities

  • Design and implement well layered implementations of machine learning APIs.
  • Perform analysis of C++ and Python code.
  • Debug and diagnose complex issues.
  • Work with product areas across Google to address their needs.
  • Guide and mentor engineers on the team.

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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Here

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