Software Engineer, Machine Learning, Edge TPU

Software Engineer, Machine Learning, Edge TPU

Join to apply for the Software Engineer, Machine Learning, Edge TPU role at Google

Software Engineer, Machine Learning, Edge TPU

Join to apply for the Software Engineer, Machine Learning, Edge TPU role at Google

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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Kirkland, WA, USA .Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (C++, Python), or 1 year of experience with an advanced degree.
• 2 years of experience working with machine learning/artificial intelligence.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field with an emphasis on Machine Learning/Artificial Intelligence.
• Publications or research experience in deep learning.
• Experience in developing, training, and optimizing machine learning models.
• Experience working with any deep learning frameworks – Tensorflow, Pytorch or JAX.
• Experience with accelerators or working at the hardware/software interface.
• Experience with neural network architectures/design.
  

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.
We are looking for a Machine Learning Software Engineer to join our innovative team. Beyond technical prowess, we are looking for an adaptable individual with a naturally enthusiastic and optimistic outlook who grows up in a rapidly changing environment.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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities

• Lead efforts on defining, developing and training edge optimized models for generative AI, computer vision, natural language and speech use cases.
• Design, build, and maintain model optimization tools and infrastructure modules needed for automating optimization and training of neural networks and architecture design space exploration.
• Write modular and efficient ML training pipelines and assist in building profiling and visualization tools.
• Work with EdgeTPU architects to design future accelerators, the hardware/software interface, and co-optimizations of the next generation EdgeTPU architectures.
• Collaborate with ML model developers, researchers, and EdgeTPU hardware/software teams on customize neural network architectures to accelerate the transition from research ideas to user experiences running on the EdgeTPU.
  
  

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 .

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Information Services and Technology, Information and Internet

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