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Open nowFirst seen 33 hours ago

Hardware Project Manager – AI Data Center

DRIVENETS46 open roles

Where
Tel Aviv- Toha
Work mode
Hybrid
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Your applicationOpen nowHardware Project Manager – AI Data CenterDRIVENETS · Tel Aviv- Toha

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 33 hours ago

The posting

About the Company

DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company’s disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets’ solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.

Responsibilities and Duties

  • Join a new, fast-growing group at DriveNets chartered with building hardware infrastructure for AI-scale data centers.
  • Own hardware programs end-to-end: from initial requirements through validation, production, and deployment.
  • Manage the interaction between internal R&D teams and external hardware vendors (ODMs), ensuring hardware development aligns with DriveNets' software stack requirements and product timelines.
  • Collaborate cross-functionally with product management, systems architecture, software R&D, legal, and supply chain teams to align on requirements and execution plans.
  • Serve as the main technical point of contact with ODMs, managing technical discussions, tracking progress, and resolving issues.
  • Drive hardware and firmware planning, including schedule alignment with software integration cycles and overall AI data center rollout milestones.
  • Lead bug triage and resolution processes for hardware and firmware, including customer-reported issues.
  • Coordinate content and timelines for hardware and firmware releases, ensuring quality and timely delivery.
  • Identify and mitigate technical and schedule risks throughout the project lifecycle.
  • Provide technical guidance and hands-on engagement in board-level design issues, validation planning, hardware bring-up, and debugging.
  • Deliver regular status updates to executive stakeholders and drive decisions at critical project milestones.
  • Gather and communicate requirements in a collaborative manner across all stakeholders.

Requirements

Technical Skills

  • B.Sc. or higher in Electrical Engineering, Computer Engineering, or a related technical field.
  • 7+ years of experience in hardware program/project management or systems engineering roles.
  • Proven experience managing hardware development with external ODMs or hardware vendors.
  • Strong technical knowledge of networking hardware, high-speed board design, firmware, and hardware/software integration.
  • Experience with hardware validation, bring-up, and debugging tools.
  • Track record managing the full product lifecycle for hardware- and software-based products, from requirements to launch.
  • Working knowledge of project management methodologies (Agile and Waterfall).

Soft Skills

  • Strong cross-functional collaboration skills, with the ability to align engineering, product, legal, and supply chain teams around a shared plan.
  • Excellent communication and negotiation skills, including the ability to translate technical hardware issues into business impact for executive stakeholders.
  • Proactive and comfortable operating with ambiguity, with the initiative to help stand up a new group and its processes from the ground up.

Nice to Have / Advantage

  • Experience in the telecom or networking industry.
  • Background in AI infrastructure, data center, or GPU networking hardware.
  • Familiarity with whitebox hardware development models.
  • Experience in Agile or hybrid hardware-software development environments.
  • Experience with customer-facing issue management and escalation handling.
  • PMP certification or equivalent project management credential.
  • Exposure to DevOps practices and tooling.
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