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System Platform Engineer
| Company | Meta |
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| Location | Menlo Park, CA, USA |
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| Salary | $204000 – $281000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Expert or higher |
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Requirements
- B.S. in Electrical Engineering or Computer Engineering, or related Engineering Degree, with 12+ years of industry experience
- Proven track record of delivering AI platform solutions, rack scale or related field from concept to production
- Experience in technical and leadership presentations, guide and influence internal and external partners
Responsibilities
- Define and drive a product definition towards enabling next generation AI system platforms, prototype solutions, and deliver platform from hardware concept into large scale deployment
- Work in a collaborative environment across Meta, with system and silicon suppliers to enable Meta’s requirements
- Design the next generation of scalable, open platforms and integrate these into high-volume production systems
- Work with supplier ecosystem to evaluate designs for high performance designs meeting Meta’s scale-up and scale-out network requirements, using electrical and/or optical interconnects
- Work hands-on for hardware design, debug, validation and optimization of the products
- Support reliable production operation of Meta’s platform across our data center, and work with our internal partners to develop efficient automation tools to improve operation efficiency
Preferred Qualifications
- Proven systems and solutions knowledge spanning AI architectures, network architectures, and associated network protocols and technologies
- Detailed system knowledge of GPUs, CPUs and switch ASICs, optics, and advanced electrical interconnects
- Experience with system design including power, cooling, PCB design, optics and high speed signals
- Knowledge of networking architectures, network protocols and computer communication
- Knowledge of optical technologies including pluggable and integrated optics.
- Advanced knowledge in signal integrity and high-speed design
- Knowledge or experience in semiconductor devices, VLSI design, microelectronic device
- Experience working with cross functional engineering teams such as AI system engineers, compute, storage and network engineering, software, manufacturing, signal integrity and optical teams, discussing architecture and system trade-offs
