Principal Engineer – Gen Ai Platform Inferencing Engineering

Wells Fargo

Base: $159,000.00 - $305,000.00; bonus/equity: inc...
Hybrid
7+ years software engineering experience
5+ years python programming production systems
Kubernetes-native ml serving infrastructure
Wells Fargo is seeking a Principal Engineer for their Gen AI Platform Inferencing Engineering team, focusing on developing and optimizing AI model serving and inferencing platforms. The role requires extensive experience in software engineering with a strong emphasis on Python programming, Kubernetes-native serving, and inference optimization

Job Summary

  • This role involves leading the development and optimization of AI model serving platforms within Digital Technology's AI Capability Engineering group.
  • Candidates will build automation, tooling, and deployment infrastructure connecting inference runtimes to Kubernetes-native layers like KServe and OpenShift AI.
  • Wells Fargo offers a comprehensive benefits package including health benefits, 401(k) Plan, paid time off, and tuition reimbursement.

Matching Summary

Match Score: 85

Wells Fargo is seeking a Principal Engineer for their Gen AI Platform Inferencing Engineering team, focusing on developing and optimizing AI model serving and inferencing platforms. The role requires extensive experience in software engineering with a strong emphasis on Python programming, Kubernetes-native serving, and inference optimization.

Salary

Base: $159,000.00 - $305,000.00; Bonus/Equity: Incentive opportunities eligible; Benefits: Comprehensive set including health, 401(k), and parental leave

Skills & Requirements

Must-have

  • 7+ years software engineering experience
  • 5+ years Python programming production systems
  • Kubernetes-native ML serving infrastructure
  • Inference framework optimization expertise
  • Helm charts and operator development

Nice-to-have

  • Experience with Run:AI workload orchestration
  • Contributions to open-source inference projects
  • Familiarity with NVIDIA GPU fundamentals
  • Background in ML observability tooling
  • Experience with custom serving runtimes

Key Requirements

  • 7+ years software or platform engineering experience
  • 5+ years Python programming experience
  • US work authorization required (no visa sponsorship)

Work Rights

Not specified

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