Hybrid Principal AI/ML Infrastructure Engineer

Hewlett Packard Enterprise Company; Sunnyvale (CA); Hybrid; USD 172.000 - 349.000; Vollzeit

Zusammenfassung

Hewlett Packard Enterprise in California seeks a Principal AI and Machine Learning Engineer to design and run benchmarks for AI/ML network operations. You will guide deployments, automate workflows, and validate switch features to ensure high performance and reliability.

The role emphasizes SSH scripting, OS validation, and scalable fabrics through SONiC, Junos, and Linux-based tools, with a hybrid work model requiring 2 days/week in-office.

Qualifikationen

• Bachelor's degree or Master's with related experience.
• Python automation experience required.
• Experience with L2/L3 network protocols (BGP/OSPF/EVPN/VxLAN/IPv6).
• Experience with traffic tools such as Spirent, IXIA or similar.
• Docker or Kubernetes experience; strong network testing/validation.

Aufgaben

• Plan, execute and analyze benchmarks on switches for AI/ML workloads.
• Guide AI/ML workload deployments from scoping to benchmark results.
• Develop AI-driven automation workflows for network development and operations.
• Validate switch OS features including buffers, schedulers, QoS/queuing, ECMP.
• Document architecture, methodologies, configurations, results and recommendations.

Kenntnisse

Python automation

BGP OSPF EVPN VxLAN IPv6

Traffic testing tools

Docker or Kubernetes

Network testing & validation

Ausbildung

Bachelor's degree

Master's degree

Tools

SONiC

Junos

Linux

Ansible

Jobbeschreibung

Hewlett Packard Enterprise in California seeks a Principal AI and Machine Learning Engineer to design and run benchmarks for AI/ML network operations. You will guide deployments, automate workflows, and validate switch features to ensure high performance and reliability.

The role emphasizes SSH scripting, OS validation, and scalable fabrics through SONiC, Junos, and Linux-based tools, with a hybrid work model requiring 2 days/week in-office.