Staff Software Engineer, Machine Learning, Computer Vision, Silicon

Google

  • Mountain View, CA
  • Permanent
  • Full-time
  • 10 days ago
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.
  • 5 years of experience in Machine Learning (ML) Algorithm development.
  • Experience with computer vision or image/video diffusion models.
Preferred qualifications:
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Experience with Large Language Models (LLM).
  • Experience in hardware architecture.
  • Experience in algorithm and hardware design trade-off analysis.
About the jobGoogle'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.The multimedia team in Silicon is building the next generation edge TPU to enable Generative AI applications on-device. This is a very challenging task with extreme power and latency targets, and hence requires cutting edge research in hardware and in Gen AI model architectures and algorithms. The team aims to accomplish this result by co-designing the hardware and the ML model architecture. In this role, you'll be expected to lead a significant aspect of the co-design.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 $197,000-$291,000 + 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
  • Research and develop state-of-the-art ML algorithms for camera imaging and other multi-media use cases.
  • Explore and identify technical directions for new imaging and video ML models, algorithms and architectures.
  • Construct the specifications of the proposed ML models.
  • Work with architects, algorithm experts, research, image quality and software teams to identify and develop new ML models.
  • Optimize models to run on a Tensor Processing Unit (TPU) or design for hardware acceleration.
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 and If you have a disability or special need that requires accommodation, please let us know by completing our .

Google