Senior ML/AI Engineer - Observability

About the role

The role is in GMs AV Developer Productivity organization, improving engineering tools and observability frameworks. Responsibilities include building tools for observability signals from distributed cloud systems and vehicle sensors, improving reliability and performance, guiding tool use, evaluating technologies, setting roadmap priorities, and mentoring engineers. Required: 5+ years operating production cloud systems, AI engineering concepts, scalable services, Go or equivalent, Linux/SSH/networking, and leadership. Hybrid in Warren, Michigan.

Requirements

• 5+ years designing, building, and operating production systems at scale in the cloud
• Degree in Computer Science or related field, or equivalent experience
• Understanding of AI engineering principles
• Experience designing scalable, reliable, maintainable services
• Production-scale Go or equivalent language
• Unix/Linux, SSH, and networking fundamentals
• Leadership, communication, trade-off, prioritization, and mentoring skills

What you'll do

• Improve performance and reliability of observability systems through code, reviews, and designs
• Identify opportunities to improve engineering through observability
• Partner with software teams to understand use cases and guide tool use
• Build tools to collect and act on observability signals from distributed cloud systems and vehicle sensors
• Evaluate tools and technologies and influence the technical roadmap
• Promote software engineering best practices
• Mentor engineers

Where this was posted

• LinkedIn

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