Staff Software Engineer, ML Frameworks

• Drive technical strategy, roadmaps, and adoption for large-scale ML infrastructure development.
• Exercise sound engineering judgment to guide sustainable engineering choices for ML systems at scale.
• Seek additional opportunities to drive efficiencies in ML workloads using scaling, idle suspend, and improving these capabilities with existing and novel technologies.
• Deliver impactful software features for Google's accelerator fleet.
  
• Partner with GDM and other PAs to transfer key innovations into products developed by your team and partner teams.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience in ML compilers and runtimes.
• Experience with Tensor Processing Units (TPUs), TPU system design, and Graphics Processing Units (GPUs).

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).