Ai/hpc System Engineer

hace 3 semanas


En remoto, España Meta A tiempo completo

**AI/HPC System Engineer Responsibilities**:

- Develop and maintain code, tooling, practices, and infrastructure to collect, analyze, and interpret data for emulation and validation platforms and derive feature and performance requirements for our hardware systems and ASICs
- Work cross-functionally with stakeholders and partner teams to develop and optimize full stack solutions, from hardware up to software
- Design, bring up, and integrate the HW prototypes with firmware, and driver and deliver a working end-to-end system that is ready for proof of concept performance validation and tests

**Minimum Qualifications**:

- Master’s/PhD degree in Computer Engineering, Electrical Engineering or similar Engineering field or BS and 5+ years Industry experience.
- Experience with discovering problem statements in large scale and complex AI/HPC systems and coming up with solutions and prototype, model & emulate the desired end-systems (e.g. via using existing technology or new FPGA).
- Experience with key HW & network & transport protocols.
- System level design, bring-up, software integration, and debug experience.
- Basic proficiency in C++ and/or Python.
- Experience with management under ambiguity in a fast changing field.
- Experience working effectively as an individual and in a multidisciplinary team.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

**Preferred Qualifications**:

- Familiarity with general understanding of architectural trade-offs including board design, high speed signal integrity, bus architecture, rack design and topology considerations.
- Experience in power test and evaluation in prototyping platforms.
- Experience with lab system debug with logic analyzers, scopes, meters, etc.
- Basic knowledge about chip architecture, µarchitecture, design and interconnects
- Familiarity with GPU/accelerator low level programming and performance validation.
- Familiarity with FPGA hardware tuning (SerDes, voltage, etc.).


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