Productization & Validation Engineer (양산실장평가, 경력)
FuriosaAI · Dongtan, Hwaseong, South Korea
Infrastructureonsitemid-senior
At a glance
Highlights
- Bring up first silicon and drive AI accelerators into mass production.
- Maximize performance by enabling and validating high-speed interfaces.
- Ensure reliability and manufacturability and support customers post-launch.
Ideal candidate
Experienced hardware engineer who loves hands-on bring-up and debug, taking chips from first silicon to mass production with a focus on reliability and customer success.
Requirements
- Understanding of Arm architecture, AMBA bus, computer architecture and programming
- Proficiency with C, Python and Bash programming
- Understanding of PCB schematics, electronics fundamentals and design rules
- Linux (Ubuntu) usage and device driver/firmware implementation capability
- Firmware-level IP control and understanding of IP functions and characteristics
- Understanding of signal and power integrity including ODT, drive strength, Vref and timing margins
- Silicon validation experience with PCIe, Ethernet, UCIe and DRAM
Lab profile
About FuriosaAI
Builds high-performance, high-efficiency AI compute for the Inference Era.
What they build
- AI inference accelerators
- High-efficiency AI compute hardware
Known for
- Energy-efficient AI chip architecture
- High-performance AI inference
- AI compiler development
Key facts
- Founded in 2017
- Offices in Korea and Silicon Valley
- Compiler-focused R&D lab in Lisbon
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