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Oracle

Builds databases, business apps and cloud services

Senior Director Product Management - Hardware Engineering, AI Infrastructure

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.
  • At least 12 years of technical experience in hardware engineering, hardware systems development, or related technical disciplines.
  • At least 7 years of experience managing hardware engineering or hardware platform teams.
  • Demonstrated ability to lead complex technical organizations and geographically distributed engineering teams.
  • Strong communication, analytical, problem-solving, and program management skills, with the ability to influence technical and executive stakeholders.
  • Significant experience delivering highly available hardware systems on schedule and within budget.
  • Expertise in hardware design, board-level engineering, system integration, hardware qualification, and mechanical engineering fundamentals.
  • Deep technical understanding of server hardware subsystems, including GPUs, CPUs, memory, PCIe, Ethernet/InfiniBand networking, and storage technologies.
  • Experience with data center hardware reliability, failure analysis, and root cause investigation.
  • Working knowledge of power delivery, cooling technologies, and rack-level architecture in hyperscale data center environments.
  • Experience collaborating with software, firmware, manufacturing, and data center operations teams throughout the hardware development lifecycle.
  • Strong experience with high-performance computing, GPU-based systems, and large-scale AI infrastructure platforms.
  • Knowledge of regulatory requirements and country-specific hardware compliance standards.

Responsibilities

  • Define and communicate a long-term technical roadmap aligned with OCI's broader AI infrastructure objectives, driving alignment across hardware engineering, software, and data center operations.
  • Build, mentor, and lead a high-performing, geographically distributed engineering organization, fostering technical excellence, accountability, collaboration, and psychological safety.
  • Identify, develop, and empower emerging technical leaders, strengthening organizational capabilities and supporting long-term team growth.
  • Serve as a key technical and organizational leader for complex hardware program decisions, influencing cross-functional stakeholders and executive leadership.
  • Balance engineering priorities, supply chain considerations, business objectives, and delivery commitments in high-pressure, resource-constrained environments.
  • Establish proactive risk management processes to identify, assess, and mitigate technical, operational, and program risks before they affect critical delivery milestones.
  • Anticipate and address supply chain constraints, component-level technical challenges, and hardware integration complexities that could affect platform availability or delivery.
  • Lead the development and execution of end-to-end hardware reliability strategies, incorporating data-driven root cause analysis, failure analysis, and continuous improvement methodologies.
  • Establish mechanisms to capture and apply lessons learned from hardware failures and operational challenges to improve platform quality, availability, and long-term resilience.
  • Develop and maintain contingency plans for critical hardware programs, enabling teams to respond rapidly to technical challenges, changing priorities, and evolving market conditions without compromising quality or delivery commitments.
  • Oversee end-to-end design, validation, integration, deployment, and lifecycle management of complex hardware platforms operating at hyperscale.
  • Establish and maintain hardware engineering standards, ensuring quality, consistency, and compliance in collaboration with global engineering and operational teams.
  • Drive execution of large-scale hardware programs against technical requirements, program milestones, quality expectations, and budget objectives.
  • Partner with software, firmware, operations, supply chain, and data center engineering organizations to optimize hardware platforms for demanding AI and high-performance computing workloads.
  • Lead cross-functional efforts to improve hardware platform reliability, availability, operational efficiency, and cost effectiveness throughout the product lifecycle.

About the Company

Oracle

Builds databases, business apps and cloud services

Oracle builds databases, business applications, and cloud infrastructure for companies and public-sector organizations. Oracle Database stores and processes business data, while Oracle Cloud Infrastructure provides computing, storage, and networking for applications and AI workloads. Fusion Cloud Applications support finance, human resources, supply chains, and customer service, helping businesses manage everyday operations and reporting. Customers pay for cloud subscriptions and usage, software licenses, support, hardware, and consulting, with deployment options in Oracle's cloud or their own data centers. Oracle was founded in 1977 and is headquartered in Austin, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Austin, TX
Founded
1977

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