Mobile Device Software Engineer, Machine Learning Runtime, Silicon

1 Month ago • 2-4 Years • Artificial Intelligence • $141,000 PA - $202,000 PA

Job Summary

Job Description

This role focuses on developing the mobile software stack for the Tensor SoC, concentrating on on-device Machine Learning (ML) framework deployment for various user experiences (Camera, Speech, Generative AI). Responsibilities include developing on-device runtime software, optimizing performance and power, supporting customer ML model deployment to Tensor TPU, collaborating with application teams on new use cases, and troubleshooting system issues. The ideal candidate will have experience with embedded OS, mobile ML frameworks (TFLite, Core ML, etc.), and ideally on-device ML and hardware accelerators. The position involves managing project priorities, deadlines, and deliverables.
Must have:
  • Software development (C++)
  • Embedded OS experience
  • Mobile ML framework experience (TFLite, Core ML etc.)
  • Performance & power optimization
  • Troubleshooting & debugging
Good to have:
  • Master's/PhD in CS
  • On-device ML experience (NLP, image, Generative AI)
  • Hardware/ML accelerator experience
  • Accessible tech development

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages (e.g., C++), or 1 year of experience with an advanced degree.
  • 2 years of experience working with embedded operating systems.
  • 1 year of experience with software frameworks for mobile Machine Learning (ML) or graphics (e.g., TFLite, Core ML, PyTorch/ExecuTorch, Vulkan, OpenCL, CUDA, etc.).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience with on-device machine learning, and knowledge of NLP, image, and on-device Generative AI.
  • Experience working with hardware or machine learning accelerators.
  • Experience developing accessible technologies.

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.

As a Software Engineer, you will work on the mobile software stack for the Tensor SoC, with a focus on deployment of on-device Machine Learning (ML) framework for a range of user experiences including Camera, Speech, Generative AI, and more. You will be responsible for managing project priorities, deadlines, and deliverables.

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 .

Responsibilities

  • Develop on device Runtime software stack to deploy Machine Learning (ML) models on mobile devices.
  • Track and drive performance and power optimizations to enable on device models.
  • Support customers with deploying their Machine Learning (ML) models to the Tensor TPU.
  • Work with application software teams to prototype and enable new use cases on Tensor SoCs.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on software, hardware, and quality.

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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