O

Oracle

Builds databases, business apps and cloud services

GPU/CPU Systems Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Technical hands-on experience with market-leading GPU or alternative AI platforms from hardware and platform development, testing, and characterization perspectives.
  • Balance hardware performance priorities against power, cost, and cross-functional considerations, and meet hardware product performance and regulatory specifications where applicable.
  • Solid knowledge of AI/GPU and/or AI/CPU platform architecture and capabilities.
  • Strong understanding and experience running firmware and system diagnostic tools using BMC firmware, UEFI/BIOS, and Linux tools; skill in scripting to customize tests.
  • Solid working experience with GPU supplier test code and open-source AI test and characterization tools.
  • Experience with the architecture, design, and implementation of modern server platforms across multiple architectures and vendors, including x86 and ARM server architectures.
  • Experience with hardware development at the system, board, and FPGA levels.
  • Experience with board-level tools and ability to review hierarchical schematics, multilayer advanced board layouts, cross-board interconnects, and end-to-end connectivity analysis.
  • Strong communication skills and ability to communicate complex technical issues across engineering disciplines and clearly articulate issues for executives.
  • Demonstrated experience debugging and determining root causes of complex issues involving hardware and software.
  • Experience with early-stage bring-up and power-on, platform firmware debugging, prototype GPU and CPU complex debugging, and memory complex debugging.
  • Ability to isolate problems to their source and devise timely, robust solutions.
  • Experience and understanding of the latest high-speed buses and interconnects used in modern compute and AI platforms, including familiarity with startup connectivity and operational robustness.

Responsibilities

  • Review and assess third-party merchant silicon used for AI accelerator modules.
  • Evaluate system architecture and analyze proposed implementation paths.
  • Participate in platform definition and analysis.
  • Provide platform development oversight for partners.
  • Work with in-house engineering functional experts on design and reviews.
  • Support and guide system integration, performance testing, and characterization.
  • Support development program managers with technical assessments and planning.
  • Interact with third-party GPU IC suppliers and partners, internal hardware and software development teams, quality assurance, cloud orchestration, hardware and software security experts, and Oracle manufacturing teams.
  • Document and specify design intent and design details in collaboration with the appropriate engineering teams.
  • Participate in hardware platform security evaluations.
  • Guide partner and internal Oracle teams on support needed to scale, monitor, and successfully deploy products to the cloud.
  • Assist Oracle Cloud and Support teams in root-causing potential hardware or software bugs through firsthand lab replication and debugging, remote debugging, and calls with appropriate teams supporting deployed products.
  • Work with Oracle manufacturing teams to ensure hardware is secure, robustly evaluated, performing at peak capabilities, and qualified for deployment to cloud customers.
  • Work directly with hardware design and development teams on architecture, implementation, development, deployment, and troubleshooting of AI hardware platforms, and collaborate with wider Oracle engineering and operations groups and external partners.
  • Develop, implement, own, and run day-to-day execution of AI platform development internally and with third-party design teams; review design plans, schematics, board layouts, subsystem test feature definitions and guidance, and system validation plans; oversee system integration, system test, and qualification; define software diagnostic features; use third-party and approved open-source AI platform qualification and test tools; expand system characterization and performance testing capabilities; and support definitions for in-service system monitoring and error reporting.
  • Collaborate with hardware developers, system architects, system engineers, platform firmware developers, partners, AI chip and GPU suppliers, and storage, networking, and compute experts on product development, then work with manufacturing and external suppliers across new product introduction through production.
  • Serve as the last level of engineering technical support when trained cloud and support teams need guidance resolving complex deployed-product issues.

Desired Qualifications

  • At least 10 years of experience with hardware, design, and bring-up; comfort using hardware debuggers.
  • Experience in PCIe, DDR, Ethernet, USB, SPI, and related technologies.
  • Experience with platform-level security technologies.
  • Experience with power circuit design and signal integrity.

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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