Software Engineer, Machine Learning Runtime, Silicon

Software Engineer, Machine Learning Runtime, Silicon

Join to apply for the Software Engineer, Machine Learning Runtime, Silicon role at Google

Software Engineer, Machine Learning Runtime, Silicon

Join to apply for the Software Engineer, Machine Learning Runtime, Silicon role at Google

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience working with embedded operating systems.
  

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience working with embedded operating systems.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience working with hardware and ML accelerators (e.g., experience at a company that builds ML chips).
• Experience with machine learning algorithms and computer architecture.
• Experience with on-device ML (e.g., an understanding of NLP, image and vision, on-device GenAI).
  

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.
Silicon Compute Software (SW) organization focuses on software and ML technology for the Camera, Speech and Ambient Experiences on Pixel devices. As a Software Engineer, you will work on the mobile SW stack for the Tensor SoC, with a focus on deployment of on-device ML framework for a range of user experiences including Camera, Speech, GenAI, etc. Along with your technical expertise, you will manage project priorities, deadlines and deliverables.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making 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

• Develop on-device Runtime SW stack to deploy ML models on mobile devices.
• Track and drive performance and power optimizations to enable large on-device models.
• Support customers with quickly deploying their ML models to the Tensor TPU.
• Work with application software teams to prototype and enable new use cases on Tensor SoCs, while also participating in, or leading technical design reviews with peers and stakeholders.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency) and triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on SW, Hardware (HW) and quality.
  
  

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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