Principal AI and Machine Learning Engineer

Hewlett Packard Enterprise Development LP; Sunnyvale (CA); Hybrid; USD 172,000 - 349,000; Full time

Job summary

Hewlett Packard Enterprise Development LP is seeking a Principal AI and Machine Learning Engineer to lead AI/ML infrastructure benchmarking and automation. The role focuses on switches, throughput, latency, congestion, and workload performance, guiding AI-driven workload deployments and validating switch OS features to ensure scalable, high-performance fabrics.

You will document PoC architectures and benchmark results, shaping AI infrastructure networking for optimal AI/ML operations across a

Qualifications

• Bachelor's degree in a related field plus years of相关 experience or Master's degree with related experience.
• Python for automation experience is required.
• Experience with L2/L3 network protocols (BGP, OSPF, EVPN, VxLAN, IPv6) is required.
• Experience with traffic tools (Spirent, IXIA) is required.
• Docker or Kubernetes experience is required.
• Experience with network testing and validation is required.

Responsibilities

• Plan, execute and analyze benchmarks on switches focusing on throughput, latency, congestion, incast, failover and workload performance.
• Guide AI/ML workload deployments from scoping and test planning to execution and analysis.
• Develop AI-driven automation workflows to streamline network development and operations.
• Validate switch OS features (buffers, schedulers, QoS, ECMP, telemetry, hashing, traffic distribution, congestion visibility).
• Document PoC architecture, methodologies, topology, configurations, results and recommendations.

Skills

Python automation

L2/L3 networking

Traffic tools

Docker or Kubernetes

Network testing & validation

Education

Bachelor's degree in related field

Master's degree in related field

Tools

SONiC

Junos

Linux

Ansible

Job description

Principal AI and Machine Learning Engineer This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

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 < >

Minimum Qualifications

• Bachelors + 7 years of related experience, or Masters + 4 years of related experience.
• Python for automation experience.
• Experience with L2/L3 network protocols such as BGP, OSPF, EVPN, VxLAN, IPv6 or similar.
• Experience with Traffic tools such as Spirent, IXIA or similar.
• Docker or Kubernetes experience.
• Experience with network testing and validation.

Preferred Qualifications

• Clear written and verbal communication skills as well as documentation skills.
• SONiC, Junos, Linux or other open source network operating systems experience.
• Deep understanding of Leaf-spine fabric and troubleshooting them.
• Experience with Apstra and related automation tools for provisioning, managing and troubleshooting the fabric.
• Experience handling complex network segmentation, security policies, and multi-site fabric designs.
• Experience with RDMA, RoCEv2, PFC, ECN, congestion control, QoS, buffer behavior, and lossless Ethernet concepts.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You

• Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Job

Engineering Job Level: TCP_05

Information about employee benefits offered in the US

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Equal Employment Opportunity/ Veterans/Disabled/LGBT employer

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Equal Opportunity Employer (EEO)

Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law. If you’d like more information about your EEO right as an applicant under the law, please click here: Know Your Rights.

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Company Commitments and Conduct

Hewlett Packard Enterprise Technology innovation that fosters business transformation. We Are In the Acceleration Business

The Hewlett Packard Enterprise Standards of Business Conduct (SBC) embody the fundamental principles that govern our ethical and legal obligations to Hewlett Packard Enterprise. They pertain not only to our conduct within the company but also to conduct involving our customers, channel partners, suppliers and competitors. Read more about how we win the right way.

Skill salary and benefits

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 172,000 - 349,000 in California The listed salary range reflects base salary. Variable incentives may also be offered.

Disclosure of Sensitive Personal Data

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.