Oracle Hardware Platform Development Engineering is seeking a highly driven Principal Diagnostics Engineer to join our team. In this role, you will play a critical role in the testing, debugging, and optimization of Oracle’s rapidly growing cloud server platforms. Your expertise in diagnostic software development and system-level debugging will help to drive the reliability and efficiency of Oracle’s next-generation cloud infrastructure.
As a Principal Diagnostics Engineer, you will be responsible for, but not limited to:
- Design and implement state-of-the-art diagnostic software for our upcoming generation of cloud servers and systems crucial for testing various server subsystems and swiftly identifying potential issues.
- Responsibilities encompass evaluating system architectures and proposing diagnostic implementation strategies, ensuring robust testing, scalability and user-friendly environment.
- Participating in platform definition, analysis, and bring-up, ensuring seamless integration of diagnostics into the development lifecycle.
- Collaborating with in-house engineering teams, including system architects, firmware developers, and validation engineers, to define and refine diagnostics features.
- Integrate new diagnostic functionalities, rectifying bugs, debugging issues, and delivering solutions to mitigate problems.
- Supporting development program managers with technical assessments and planning, offering expert insights into diagnostic requirements.
- Working closely with third-party component suppliers, partners, and internal teams, including hardware/software development, quality assurance, cloud orchestration, and security compliances, to enhance system reliability.
- Participating in hardware platform security evaluations, ensuring diagnostic coverage for potential vulnerabilities.
- Providing guidance to internal Oracle teams on system diagnostics, failure analysis, and monitoring strategies, supporting large-scale cloud deployments.
- Assisting Oracle Cloud and Support teams in root-cause analysis of hardware/software failures, leveraging lab replication, remote debugging, and in-depth telemetry analysis.
- Partnering with Oracle manufacturing teams to ensure that hardware is secure and rigorously validated, meeting deployment standards for Cloud customers.
Required Skills:
- Proven expertise in C programming and embedded system software development
- Skilled in developing software tools to test CPU, GPU, memory, storage, and networking components, diagnose hardware failures, detect overheating, monitor abnormal power consumption, and collect telemetry data.
- Good understanding of CPU/GPU architectures, chipset programming, and expertise in modern server architectures, including x86 and ARM-based platforms, with knowledge of multi-vendor system integrations.
- Familiar with NVDIA and AMD GPU architectures
- A strong understanding and experience running firmware and system diagnostics tools using BMC firmware, UEFI/ BIOS and Linux tools. Skilled in scripting to customize tests.
- Experience with early-stage platform bring-up, including prototype GPU, CPU, and memory subsystem debugging, as well as firmware and platform-level diagnostics.
- Strong communication skills, capable of clearly articulating technical challenges across engineering teams and succinctly explaining issues and solutions to executive leadership.
- Creative and analytical mindset, with the ability to isolate issues to their root cause and devise effective, timely, and scalable solutions.
- Three to five years’ experience in embedded systems/diagnostics SW development for server platforms
- BS/MS
Preferred Skills:
Experience and understanding of the latest high-speed busses and interconnect used in modern Compute and AI platforms. Familiarity with their startup connectivity and operational robustness.
- Demonstrated knowledge of "low-level" system component interfaces, including, but not limited to, e.g.
- High-speed: PCIe, CXL
- Low speed: SPI, eSPI, I2C (incl. SMBus, PMBus), LPC, etc.
- Demonstrated knowledge in Memory Technologies like DRAM, DDR, EEPROM. Cache
- Demonstrated knowledge in Storage Types: NVMe, SATA, SAS. HDD vs SSD
- Experience installing NVIDIA tool kit and hands on using CUDA.
- Familiar with FPGA intercommunication, telemetry sensors, VRDs
- Experience programming in multi-core environment
- Multiprocessing and Multithreading programming
- Experience with Memory test and Storage test algorithms
- Hands-on in Python programming and bash scripting
- Familiarity with open BMC and Open Compute Project concepts
Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 7 years of engineering or related experience.
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