Sr Hardware Developer, GPU/AI and Compute

Oracle hardware development engineering, within Oracle’s Cloud Infrastructure development, is seeking a highly driven GPU Platform Hardware Engineer at the Sr Engineer level. The GPU Hardware 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 hardware development oversight & in house development, design reviews, Hardware integration, debug, and performance testing. You will interact closely with third party GPU IC suppliers & partners as well as internal hardware and software development engineers. You will be a critical part of the team developing Oracle’s growing Cloud AI solutions. The team you will be joining has delivered all generations of Oracle Cloud dedicated compute, AI platforms, and is working on the current and next generation of Cloud and Enterprise systems. 

You will be responsible for, and not limited to:

• Review and assessment of third-party merchant silicon.
• Evaluation of system architecture and proposed implementation path analysis. 
• You will participate in platform definition and analysis.
• Provide platform development oversight for partners.
• Work with in-house engineering functional experts on design and reviews.
• Support system integration, performance testing, debug and characterization.
• Support program managers on technical assessments. 
• You will 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.
• You will 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.
• You will 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. 

What This Role Looks Like 

• 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, 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. Work on system and hardware integration, system test and qualification, work with software diagnostics engineers to test functionality, and utilize third party as well as approved open-source AI platform qualification 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, technical leads, platform firmware developers, partners and AI chip / GPU suppliers, storage, networking and compute experts, on product development and then with Manufacturing and external suppliers assisting across the new product introduction process out to production. You will also serve as one of the last level of engineering technical support when cloud and support teams require guidance and help in resolving complex deployed product issues. 

Required Qualifications 

• Technical hands-on experience with market leading GPU (or alternate AI platforms) from the hardware and platform development, test, and characterization perspectives. 
• Good knowledge of AI / GPU 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.
• Demonstrated working experience with GPU supplier test code as well as open-source AI test / characterization tools.
• Experience with design, and implementation of modern server platforms consisting of multipl