Design, deploy, automate, and optimize high-performance data center networks for AI/ML infrastructure.
Compensation
Competitive salary range finalized based on experience and impact
Responsibilities
Design and deploy network architecture for new AI data centers, including high-performance GPU compute fabrics (InfiniBand/RoCE), front-end, storage, and out-of-band management networks.
Lead network workstreams through data center construction and energization, coordinating with construction, electrical, and DC operations teams on rack layouts, cabling plans, and deployment timelines.
Provision, configure, and validate switches and fabric components at scale, so the network is production-ready when GPU capacity comes online.
Develop standardized network designs, bills of materials, and deployment runbooks so new sites can be built quickly and repeatably.
Automate zero-touch provisioning, configuration generation, and deployment validation (cabling verification, link health, fabric burn-in) using Python, Ansible, Terraform, or similar tools.
The IT Technician is responsible for supporting and maintaining in-house technology equipment and IT assets, including hardware installation, configuration, and troubleshooting.
Compensation
Pay Transparency: $21 - $38 hourly
Responsibilities
Installing, configuring, diagnosing, repairing, and upgrading corporate hardware and equipment
Troubleshoot problem areas in a timely and accurate fashion
Provide end user training and assistance
Writing technical specifications for purchase of corporate technology equipment and networking hardware
Assisting in long-term strategies and capacity planning
The HPC Systems Engineer is responsible for supporting the HPC efforts for the research computing group and related research computing technologies, managing large IT systems for research using automated and software-defined approaches.
Compensation
Pay Range Minimum: $97,080.00 annual Pay Range Maximum: $157,764.00 annual
Responsibilities
Design, develop, adapt, integrate, manage, optimize, or deploy monitoring for new or existing systems, software, or automation.
Perform system management functions such as account administration, service administration, software installation and configuration, firmware updates, backing up and restoring data.
Monitor HPC and related systems health and performance, and troubleshoot and resolve issues that impact performance, health, or reliability.
Monitor support ticket and alerting queue; triage, respond to, and resolve tickets and on-call pages as appropriate.
Research and evaluate new and future technologies. Plan and architect new systems and the evolution and lifecycle of existing systems and clusters.
Provides Tier 1 service level support for hardware, application software, and operating systems, working primarily remotely with occasional onsite requirements at Philadelphia campus.
Locations (2)
Philadelphia, Pennsylvania, United States
United States
Compensation
$25.50 - $31.85 Hourly
Responsibilities
Demonstrates basic knowledge of Tier 1 service level support as relates to addressing Hardware (PCor End-User Devices & peripheral equipment), and application software, and operating system issues
Exhibits sound customer service skills by effectively handling customer problems and ensuring proper escalation procedures are followed to problem closure
Demonstrates sufficient knowledge of call log tracking to record accurately all needed information
Tracks all customer service items to completion
Evaluates customer service issue to determine level of service needed
Requirements
Senior Product Manager, Data Center & AI Networking Hardware
Senior Product Manager responsible for defining and delivering next‑generation networking platforms for data centers and AI clusters, combining technical depth with product lifecycle management and NPI leadership.
Compensation
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 143,000 - 290,500 in California The listed salary range reflects base salary. Variable incentives may also be offered.
Responsibilities
Lead end‑to‑end product strategy and operational roadmap for next‑generation data center and AI cluster networking platforms.
Define value propositions, target customer segments, market requirements, product requirements, and business cases.
Assess emerging technologies including switch silicon, SerDes, high‑speed optics and interconnects, switch and system design, power delivery, thermal management, air and liquid cooling, and rack‑level infrastructure.
Translate customer insight, market trends, competitive dynamics, and engineering possibilities into differentiated product and architecture decisions.
Lead fact‑based trade‑off analyses across customer value, performance, power, density, reliability, serviceability, manufacturability, cost, margin, supply readiness, and time to market.
Requirements
Bachelor's degree in computer science, engineering or related field
MBA or advanced degree in computer science or engineering
Senior Product Manager, Data Center & AI Networking Hardware
Senior Product Manager responsible for defining and delivering next-generation networking platforms for data centers and AI clusters, combining technical depth with product lifecycle management and NPI leadership.
Compensation
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 143,000 - 290,500 in California
Responsibilities
Lead end-to-end product strategy and the operational roadmap for next-generation data center and AI cluster networking platforms.
Define value propositions, target customer segments, market requirements, product requirements, and business cases in the context of the broader portfolio.
Assess emerging technologies including switch silicon, SerDes, high-speed optics and interconnects, switch and system design, power delivery, thermal management, air and liquid cooling, and rack-level infrastructure.
Translate customer insight, market trends, competitive dynamics, and engineering possibilities into differentiated product and architecture decisions.
Lead fact-based trade-off analyses across customer value, performance, power, density, reliability, serviceability, manufacturability, cost, margin, supply readiness, and time to market.
Requirements
Bachelor's degree or equivalent in computer science, engineering or related field of study
MBA or advanced degree in computer science or engineering
Senior Product Manager, Data Center & AI Networking Hardware
Lead end-to-end product strategy and the operational roadmap for next-generation data center and AI cluster networking platforms.
Compensation
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 143,000 - 290,500 in California The listed salary range reflects base salary. Variable incentives may also be offered.
Responsibilities
Lead end-to-end product strategy and the operational roadmap for next-generation data center and AI cluster networking platforms.
Define value propositions, target customer segments, market requirements, product requirements, and business cases in the context of the broader portfolio.
Assess emerging technologies including switch silicon, SerDes, high-speed optics and interconnects, switch and system design, power delivery, thermal management, air and liquid cooling, and rack-level infrastructure.
Translate customer insight, market trends, competitive dynamics, and engineering possibilities into differentiated product and architecture decisions.
Lead fact-based trade-off analyses across customer value, performance, power, density, reliability, serviceability, manufacturability, cost, margin, supply readiness, and time to market.
Requirements
Bachelor's degree in computer science, engineering or related field of study
MBA or advanced degree in computer science or engineering
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