Senior Mobile Device Software Engineer, Machine Learning Runtime

1 Month ago • 5-8 Years • Artificial Intelligence • $166,000 PA - $244,000 PA

Job Summary

Job Description

As a Senior Mobile Device Software Engineer, you will work on the mobile software stack for the Tensor SoC, focusing on deploying on-device Machine Learning (ML) frameworks for various user experiences (Camera, Speech, Generative AI). Responsibilities include leading the development of on-device runtime software, optimizing performance and power, supporting customers deploying ML models to Tensor TPU, prototyping new use cases with application teams, and resolving product/system issues. You'll manage project priorities, deadlines, and deliverables. This role requires expertise in C/C++, mobile ML frameworks (TFLite, Core ML, etc.), and software design/architecture. Experience with hardware and machine learning accelerators is highly valued.
Must have:
  • 5+ years software development (C/C++)
  • 3+ years mobile ML framework experience
  • 3+ years software testing/launch experience
  • Lead on-device ML runtime development
  • Performance and power optimization
  • Support customer model deployment
Good to have:
  • Master's/PhD in CS
  • Technical leadership experience
  • Hardware/ML accelerator experience
  • On-device ML, NLP, image, Generative AI knowledge

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in C or C++ programming languages, and with data structures/algorithms.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years 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 a related technical field.
  • 1 year of experience in a technical leadership role.
  • Experience working with hardware and machine learning accelerators.
  • Experience with on-device machine learning, and knowledge of NLP, image, and on-device Generative AI.

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 $166,000-$244,000 + 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

  • Help lead development of 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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