SW Application Engineer - System Engineer for Cloud AI inference ASIC
Qualcomm
Taipei City, Taiwan
1天前

Job Overview

Work with Taiwan based ODMs on PCIe Add In cards / modules for Qualcomm new Cloud AI inference ASIC. Primary responsibilities include development, support and test of cards / boards / modules solution utilizing Qualcomm's new Cloud AI ASICs.

Responsibilities : - Work with internal teams and ODMs to develop and support customer requirements. - Co-develop functional specifications for cards and / or sub-systems.

  • Support architecture and card designs including accelerator SOC, memory, I / O, power, performance. Resolve architecture or design issues.
  • Assist bring up and debug of cards at ODMs. - Support system stability, power, and performance tuning - Evaluation of ODM / JDM partners and technical oversight of ODM engagements.
  • Coordinating and performing technical training for ODMs. Minimum Qualifications - Candidate should have 5+ years of system / card development experience.
  • Knowledge of PCIe card, motherboard, daughtercard, and backplane signal and power delivery, chassis design and thermal management.
  • Solid understanding of system software operation from lowest level boot to OS and application layers.
  • Experience with PCIe add in card / module design and debugging of cards in high performance systems (x86, Power and ARM).
  • Experience in bringing up PCIe card design using JTAG tools
  • Knowledge in high speed (6-10+ Gbps) serial IO design, signal integrity, PCI-E Gen3 / 4, LPDDR4x / 5x, DDR4 / 5.
  • Understanding of link, transport, transaction and command levels for PCIe, with ability to debug at packet / protocol level.
  • Experience with LPDDR4x memory technologies, design, layout, validation of large DIMM configurations.
  • Experience in clock distribution, power distribution, SMBus, PMBus, SPI, PWM / Tach, BMC.
  • Good understanding of the x86 FW / SW stack
  • Good understanding of FW architecture Preferred Qualifications - Experience in Linux / CentOS- Knowledge in AI / Machine Learning related application - Experience in AI / Machine Learning benchmark- EDGE Computing application - ResNet50 Experience is preferred
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