Product Manager - AI Data Center Infrastructure at Hewlett Packard Enterprise

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Center Switching Platforms, Ethernet Fabrics, GPU Interconnects, Juniper QFX, Apstra, NVIDIA, AMD, RDMA/ROCEv2, ECN, PFC, Python, Ansible, Terraform, EVPN-VXLAN, Telemetry, Troubleshooting

Industry

Information Technology & Services

Description

Product Manager - AI Data Center Infrastructure This role has been designed as ‘Hybrid’ with an expectation 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: Job Family Definition: We are seeking a Product Line Manager (PLM) for AI Data Center Infrastructure to define and deliver next-generation data center networking platforms for large-scale GPU clusters. This role is ideal for a visionary, hands-on leader who understands how AI workloads stress networks at scale and can translate that insight into clear product requirements and roadmaps. The successful candidate will have deep experience with data center switching platforms, high-performance Ethernet fabrics, and GPU/NIC interconnects across NVIDIA and AMD ecosystems. You will drive the architecture and product strategy for scale-up and scale-out AI fabrics, enabling deterministic performance, ultra-low latency, and operational excellence for hyperscale AI training and inference clusters. This role requires a self-starter and go-getter who can operate independently while collaborating across engineering, operations, and strategic partners. What you will do: AI Data Center & Fabric Architecture Define product requirements for AI data center network architectures supporting thousands of GPUs. Develop requirements for low-latency Ethernet fabrics using Juniper QFX platforms and Apstra-based automation. Enable high-bandwidth GPU and NIC interconnects optimized for large-scale distributed training and inference workloads. GPU, NIC & Interconnect Strategy Lead requirements definition for next-generation GPUs, NICs, and interconnect technologies, staying ahead of industry roadmaps. Drive alignment with: NVIDIA: ConnectX (CX7/CX8), NVLink, NVSwitch, AMD: MI300/MI400 platforms, Pollara NICs, Infinity Fabric Ensure interoperability across DAC, AEC, ACC, and optical transceivers between switches and NIC endpoints. Define scale-up paths using PCIe, NVLink, NVSwitch, ensuring GPU-to-GPU symmetry, consistency, and bandwidth determinism. Switching, Routing & Telemetry Specify and optimize L2/L3 architectures, including EVPN-VXLAN, Class-E IPv4, and AI-optimized buffer tuning. Leverage hardware telemetry, streaming sensors, and analytics for proactive performance assurance. Drive automation using Python, Ansible, Apstra, Terraform, and related tools to enforce configuration consistency and compliance. Performance Optimization & Troubleshooting Analyze GPU job performance to identify network hotspots, congestion, packet loss, and microbursts. Tune ECN, RDMA/ROCEv2, PFC, and traffic-engineering policies for AI workloads. Optimize server-to-switch interactions, including: BIOS and firmware alignment, NIC queue and link-training parameters, Cable selection and management (AEC/ACC/optics) Cross-Functional & Ecosystem Collaboration Partner closely with AI platform teams, GPU system architects, data center operations, and strategic vendors (NVIDIA, AMD, Juniper). Lead and participate in root-cause analysis for: Link flaps and training failures, FEC and PCS errors, Thermal or power-related performance degradation Drive lab validation, scale testing, and certification of new optics, NIC firmware, and switch software releases. What you need to bring: 5–10+ years of experience in data center networking, AI infrastructure, or HPC environments. Strong hands-on experience with Juniper QFX platforms and JunOS. Deep understanding of GPU architectures: NVIDIA: H100/H200, GB200/GB300, NVLink/NVSwitch AMD: MI300/MI400, Pollara NICs, Infinity Fabric Proven expertise in scale-up GPU interconnects and scale-out Ethernet fabrics. Strong knowledge of RDMA/ROCEv2, ECN, PFC, and buffer management. Familiarity with distributed AI workloads, collective operations (NCCL, RCCL). Hands-on troubleshooting experience with high-speed optics, AEC cables, link training, and NIC firmware. Proficiency in automation and scripting (Python, Ansible, Bash, Terraform). Preferred Qualifications Certification : JNCIE , CCIE, (NCP-AII), (NCA-AIIO), (NCP-AIO), (NCP-AIN) Experience with Apstra or other intent-based networking platforms. Knowledge of 1.6T optics, 200G PAM4 SerDes, and CPO/LPO architectures. Experience supporting liquid-cooled GPU clusters and rack-level power/network design. Understanding of data center operations, observability, and SLAs for AI training and inference clusters. Additional Skills: Cross Domain Knowledge, Customer Engagement, Design Thinking, Development Fundamentals, DevOps, Go-to-Market Expertise, Partner Management, Product Lifecycle Management, Security-First Mindset, Strategic Pricing, Strategy Creation, User Experience (UX), Value Creation, Vendor Management 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. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #networking Job: Engineering Job Level: TCP_03 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. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. 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We Are In the Acceleration Business We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives. Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed. COVID Policy The health and safety of our team members, customers and partners is paramount at HPE. Accordingly, if applicable to the role you applied to, you must be fully vaccinated against COVID-19 by the employment start date where permitted by law. Exemptions based on medical, religious or other grounds will be processed and approved in accordance with local laws. Standards of Business Conduct (SBC) 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. 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. 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Responsibilities

The Product Line Manager will define and deliver next-generation data center networking platforms specifically for large-scale GPU clusters supporting AI workloads. This involves driving the architecture and product strategy for scale-up and scale-out AI fabrics to ensure deterministic performance and ultra-low latency.