GPU/CPU Systems Engineer

Oracle•Seattle, WA

About The Position

Oracle hardware platform development engineering is seeking a highly driven GPU/CPU Platform System Engineer at the Principal Engineer level. The GPU System Engineer will work within development engineering with a small team of talented engineers who lead the development and day-to-day engineering efforts for Oracle’s rapidly growing and successful Cloud AI platforms. You will participate in platform definition, platform development oversight as well as in house development, design reviews, system integration, performance testing and characterization. You will interact closely with third party GPU IC suppliers & partners as well as internal hardware and software development teams to help drive Oracle’s AI Cloud platform solution space. You will be a critical part of the team developing Oracle’s growing Cloud AI solutions. The team you will be joining has delivered the first and second generation of Oracle Cloud dedicated compute, AI platforms, and is working to build out the next generation of Cloud and Enterprise systems, with record breaking-performance, security, and world class quality, using the latest and greatest merchant silicon and technologies. Oracle Cloud Infrastructure (OCI) is looking for a visionary Systems Engineer to lead innovation in AI hardware and datacenter infrastructure. In this high-impact role, you'll guide the development of emerging technologies in compute accelerators, virtualization, networking, energy systems, and AI infrastructure. Your work will directly influence OCI’s long-term architectural direction and help shape the future of cloud infrastructure.

Requirements

Technical hands-on experience with market leading GPU (or alternate AI platforms) from the hardware and platform development, test, and characterization perspectives.
Balance hardware performance priorities against power, cost, and cross-functional considerations.
Be responsible for meeting hardware product performance and regulatory specifications, if applicable.
Solid knowledge of AI / GPU or/and AI/CPU platform architecture and their capabilities.
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.
Solid working experience with GPU supplier test code as well as open-source AI test / characterization tools.
Experience with the architecture, design, and implementation of modern server platforms consisting of multiple architectures and vendors, including x86 and ARM server architectures.
Experience with hardware development at the system, board, and FPGA level.
Required experience with board level tools and ability to reviews hierarchical schematics, multilayer advance board layout, cross board interconnect and end-to-end connectivity analysis.
Strong communications skills and ability to clearly communicate complex technical issue across engineering disciplines as well as clearly and succinctly articulate issues for executives.
Demonstrated experience debugging and root-causing complex issues that may have a mix of hardware and software causes.
Experience with early stage bring-up and power-on, platform firmware debugging, prototype GPU & CPU complex and memory complex debugging.
An ability to isolate a problem to the source and the required creativity & expertise to devise timely and robust solutions.
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.

Nice To Haves

10 years of experience with hardware, design and bring-up.
Comfortable with the use of hardware debuggers.
Experience in PCIe, DDR, Ethernet, USB, SPI, etc.
Experience with platform level security technologies present an advantage in the role.
Experience with power circuit design and signal integrity.

Responsibilities

Review and assessment of third-party merchant silicon used for AI Accelerator Modules.
Evaluation of system architecture and proposed implementation path analysis.
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 on technical assessments & planning.
Interact closely with third party GPU IC suppliers & partners as well as internal hardware, software development, quality assurance, cloud orchestration, hardware and software security experts, and Oracle manufacturing teams.
Document and specify design intent and design details where appropriate in collaboration with the appropriate engineering teams.
Participate in hardware platform security evaluations.
Guide partner internal Oracle teams on support needed to scale, monitor, and successfully deploy our products to the Cloud.
Assist Oracle Cloud and Support teams in the root-cause of potential hardware or software bugs through firsthand lab replication debug, remote debug, and calls with the appropriate teams supporting our deployed products.
Work with Oracle manufacturing teams to ensure that Oracle hardware is secure, robustly evaluated, performing at peak capabilities and well qualified for deployment to our Cloud customers.
Work directly with hardware design and development teams on architecture, implementation, development, deployment, and troubleshooting of AI hardware platforms.
Collaboration is also expected with the wider Oracle engineering and operations functional groups as well as our external partners.
Develop, implement, own, and run the day-to-day execution of AI platform development, both internally and in partnership with third-party design teams.
Including reviews of design plans, schematics, board layout, test feature definition / guidance for subsystem test, as well as System validation plans.
Oversee system integration, system test and qualification, define software diagnostics features and utilize third party as well as approved open-source AI platform qualification and test tools.
Add to a roster of system characterization and performance testing capabilities and support definition of in-service system monitoring and error reporting needs.
Work closely and collaborate with hardware developers, System architects, System engineers, platform firmware developers, partners and AI chip / GPU suppliers, storage, networking and compute experts, on the product development and then with Manufacturing and external suppliers assisting across the new product introduction process out to production.
Serve as the last level of engineering technical support when trained cloud and support teams require guidance and help in resolving complex deployed product issues.

Benefits

Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance