Senior Software Engineer, Deepmind

Google Google · Big Tech · Mountain View, CA +1

Senior Software Engineer at Google DeepMind focused on building and enhancing serving solutions for Gemini models, developing new infrastructure for advanced capabilities like streaming and audio logic, and ensuring model quality in production. The role involves driving technical vision and roadmap for the team.

What you'd actually do

  1. Build and enhance serving solutions for Gemini models, tailoring configurations to meet diverse client needs and testing for optimal performance
  2. Develop new infrastructure to support advanced capabilities, such as large-scale streaming and specialized audio logic within the orchestration framework
  3. Guarantee the quality of Gemini models in production by triaging system issues, debugging code, and implementing robust monitoring systems
  4. Collaborate with peers and stakeholders through design and code reviews to establish and maintain best practices in software development
  5. Drive the short-term technical vision and roadmap for your team, evolving strategies to meet future requirements and infrastructure needs

Skills

Required

  • C++ for software development
  • Algorithm design and data structure selection for system scalability
  • Productionizing large language and multimodal models or ML infrastructure development for model deployment, evaluation, and optimization
  • Reinforcement learning or speech/audio technologies
  • Root cause analysis for debugging software and ML systems

Nice to have

  • Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 5 years of progressive post-baccalaureate experience
  • Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience

What the JD emphasized

  • productionizing large language and multimodal models
  • ML infrastructure development for model deployment, evaluation, and optimization
  • Reinforcement learning or speech/audio technologies
  • Root cause analysis for debugging software and ML systems

Other signals

  • Serving Gemini models
  • Develop new infrastructure for advanced capabilities
  • Guarantee quality of Gemini models in production
  • Drive technical vision and roadmap