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).
- Experience integrating generative AI tools or LLM interfaces into workflows.
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.
- Experience with any of the following: SQL Pipelines, Plx Scripts, Generative AI Agents.
- Track record of leading complex infrastructure projects.
- Ability to influence technical direction across a partner teams (repair infrastructure, network, machines, all coexist together), and improve engineering practices.
Responsibilities - Define the long-term goal for repair automation of AI/ML infrastructure, focusing on achieving goals through multiple parallel programs.
- Lead and participate in the design of agentic diagnostic systems that utilize Generative AI to automate diagnoses for next-gen networks.
- Work with platform teams to integrate new hardware platforms into the automation ecosystem, driving the qualification and repair workflows required for global fleet turn-up.
- Lead critical safety initiatives, such as automated anomaly detection, to protect fleet health and capacity.
- Mentor a team of junior and executive engineers and influence engineering practices across the broader infrastructure organization to drive consistency in automation and safety standards.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
