Software Engineer, ML Fleet Intelligence

Job summary

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.

Benefits

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 ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• PREFERRED
• 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 predictive maintenance, anomaly detection, or systems reliability engineering.
• Ability to translate complex technical findings into actionable business strategies for executive stakeholders.
• ABOUT THE JOB

Responsibilities

• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
• Design and implement AI/ML models to predict, detect, and mitigate hardware and software faults across a global fleet.
• Analyze petabytes of telemetry and performance data to uncover insights that improve the reliability of ML TPUs and traditional compute infrastructure.
• Build scalable automated systems that allow Goo***’s data center footprint to grow while maintaining industry-leading uptime.
• Partner with hardware designers and site reliability engineers (SREs) to integrate intelligent diagnostics into the core data center lifecycle.
• Goo*** 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

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