Principal AI and Machine Learning Engineer

HP Enterprise; Sunnyvale (CA); Vor Ort; USD 150.000 - 190.000; Vollzeit

Benefits dieser Stelle

Annual equity awards

Annual bonus

Health insurance

Retirement programs

Parental leave

Hybrid work model

Professional development

Zusammenfassung

HP Enterprise is seeking a proactive engineer to plan, execute, and analyze AI/ML networking benchmarks on switches, focusing on throughput, latency, congestion, and workload performance.

You will guide AI/ML workload deployments from scoping to results, automate with Python/Ansible, validate switch OS features, and document architectures, configurations, and findings to shape scalable network fabrics.

Qualifikationen

• Experience with network testing and validation.
• Deep understanding of Leaf-spine fabric and troubleshooting.
• BGP, OSPF, EVPN, VxLAN, IPv6 knowledge is a plus.
• Experience with RDMA, RoCEv2, PFC, ECN and lossless Ethernet concepts.
• Clear written and verbal communication skills and documentation experience.
• Experience with multi-site fabric designs and security policies.

Aufgaben

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

Kenntnisse

Communication skills

Documentation skills

Network testing & validation

Leaf-spine fabric troubleshooting

Open source OS experience

Ausbildung

Bachelor's degree + 7 years related experience

Master's degree + 4 years related experience

Tools

Docker

Kubernetes

Spirent / IXIA

Python

Ansible

Git

SONiC / Junos / Linux

Apstra

Jobbeschreibung

• As a key contributor to AI/ML infrastructure initiatives, you will plan, execute, and analyze comprehensive benchmarks on switches, focusing on throughput, latency, congestion, incast, failover, path diversity, and workload performance to ensure optimal AI/ML network operations


• You will be guiding AI/ML workload deployments from initial scoping and test planning through execution and benchmark analysis, ensuring success criteria are met. Your role includes developing AI-driven automation workflows to streamline network development, operations, and implementations


• You will validate switch ASIC features including buffers, schedulers, QoS/queuing, ECMP behavior, telemetry, hashing, traffic distribution, and congestion visibility


• Owning switch OS configuration and automation, you will utilize SONiC, Junos, Ansible, Python, Bash, Git, and related tooling to implement and validate advanced features such as SRv6, segment routing, uSID, Adj-SID, and policy-based pathing as required. You will document PoC architecture, benchmark methodologies, topology diagrams, configurations, results, findings, and recommendations


• This role empowers you to shape the future of AI infrastructure networking by delivering scalable, high-performance, and resilient network fabrics that meet the stringent demands of AI/ML workloads, driving innovation and customer success at < >

Benefits

• Recognition for your contributions, and potential participation in long-term incentives like annual equity awards


• The chance to earn an annual bonus based on performance


• Subsidized health insurance, retirement programs and paid time off, including an industry-leading maternity and paternity leave package


• A hybrid, flexible work model that ensures connectivity, a commitment to our culture and continued impact for team members


• Opportunities for personal and professional development to help you reach your career goals

• Docker or Kubernetes experience


• Python for automation experience


• Experience with Traffic tools such as Spirent, IXIA or similar


• Experience with L2/L3 network protocols such as BGP, OSPF, EVPN, VxLAN, IPv6 or similar


• Bachelors + 7 years of related experience, or Masters + 4 years of related experience


• Experience with network testing and validation


• Experience with RDMA, RoCEv2, PFC, ECN, congestion control, QoS, buffer behavior, and lossless Ethernet concepts


• Experience handling complex network segmentation, security policies, and multi-site fabric designs


• Deep understanding of Leaf-spine fabric and troubleshooting them


• Experience with Apstra and related automation tools for provisioning, managing and troubleshooting the fabric


• SONiC, Junos, Linux or other open source network operating systems experience


• Clear written and verbal communication skills as well as documentation skills