Imaging and On-Device Machine Learning Software Engineer, Silicon

Minimum qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, a related field, or equivalent practical experience.
  
• 2 years of experience with software development in C/C++, and with data structures/algorithms.
  
• 2 years of experience working with embedded operating systems for mobile SoCs.
  
• 1 year of experience in system software development including kernel and user mode drivers, HAL, framework, and multimedia subsystems (Camera ISP, TPU/NPU, Video, GPU, and Display).
  

Preferred qualifications:

• Experience with mobile SoC architecture and multimedia subsystems such as Camera ISP, TPU/NPU, GPU, Video Codecs, Display Engine and Security.
  
• Experience with system architecture analysis for complex imaging and multimedia user experiences to identify performance and power bottlenecks and areas for optimization.
  
• Experience with ML inference pipeline development and optimization.
  
• Experience with machine learning algorithms and tools (e.g., TensorFlow), Large Language Models and Generative AI.
  
• Experience with GPU and DSP software development for imaging, computer vision and multimedia applications using OpenCL, Vulkan, CUDA, Halide and architecture specific C/C++ intrinsics.
  
• Experience in Python or Java.
  

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.

You will design, develop, test, deploy, maintain, and enhance software solutions.

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.

Responsibilities

• Contribute to imaging, Machine Learning (ML) and multimedia systems architecture and design for Google’s Tensor SoCs and Pixel devices.
  
• Build prototype/production software across the camera, Machine Learning, and multimedia software stack including kernel and user mode drivers, Android Hardware abstraction layer (HAL) and framework, ML stack, and application to prove feasibility of new and emerging use-cases on future Tensor SoCs.
  
• Optimize power and performance of imaging and Generative AI use-cases running on-device.
  
• Collaborate with multimedia IP and architecture, system architecture and device software teams to take the prototypes into production.
  
• Perform detailed system analysis for complex imaging and Generative AI user experiences to identify performance and power bottlenecks and areas for optimizations, and communicate the analysis results in both quantitative and qualitative fashion.