Software Engineer, System Engineering, Silicon

le contenu du travail

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience
• 2 years of experience using C++
• 2 years of experience with data structures/algorithms in an academic or industry setting.
• Experience working with hardware and ML accelerators
  
  

Preferred qualifications:

• Master’s degree or PhD in Computer Science or related technical field, with an emphasis on performance evaluation or ML systems
• Experience with machine learning algorithms and computer architecture
• Experience with performance analysis and debugging, and an understanding of Python
• Experience with compiler flows and software involved in translating high level language (i.e. TensorFlow) to hardware instructions
• Experience with on-device ML, with an understanding of NLP, and image and vision
• Experience with mobile platforms (e.g., Android or iOS)
  
  

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.

Tensor makes transformative user experiences possible with the help of Machine Learning (ML) running on Tensor TPU. Our goal is to productize the latest ML innovations and research by delivering computing hardware and software.

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

• Work closely with cross-functional teams to bring highly impactful machine learning use cases to the next generation of Tensor System-on-Chip (SoC). Work with application software teams to prototype and enable new use cases on Tensor SoCs.
• Use workload analysis, and optimize power and performance of device machine learning use cases, and write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices.
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations 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 .