Staff AI Training Systems Architect

Uber Technologies Inc.; Seattle (WA); On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k)

Benefits

Job summary

Uber Technologies Inc. is seeking a Staff Software Engineer for AI Infra - Training in Seattle.

You will design and build end-to-end systems for the ML training stack, tackle scaling challenges on massive datasets, and mentor engineers across the stack to ensure robust, secure implementations. You will collaborate with Product, Data Science, and Operations across the globe to drive large-scale projects, balancing performance, cost, and reliability while shaping the foundation for Uber’s

Qualifications

• 8+ years in scalable, fault-tolerant platforms.
• Experience with large-scale ML training workloads.
• Proven leadership of large projects across an org.

Responsibilities

• Design and build end-to-end systems for Uber’s ML training stack.
• Provide deep technical mentorship across the stack.
• Diagnose performance regressions and optimize resources.
• Create tools and frameworks to accelerate internal teams.
• Lead and mentor engineers, review code and designs.
• Collaborate cross-functionally with Product, Data Science & Operations.

Skills

Programming languages

Distributed training

System design

Leadership

Deep learning

Education

Bachelor's degree in CS/engineering

Job description

Uber Technologies Inc. is seeking a Staff Software Engineer for AI Infra - Training in Seattle.

You will design and build end-to-end systems for the ML training stack, tackle scaling challenges on massive datasets, and mentor engineers across the stack to ensure robust, secure implementations. You will collaborate with Product, Data Science, and Operations across the globe to drive large-scale projects, balancing performance, cost, and reliability while shaping the foundation for Uber’s