EE Hardware System Engineer

1 мес. назад

TaiwanWorldwideSeniorOnsite

schematic designpcb100g ethernetpcie gen5i2cspiuartbom

Responsible for schematic design and development of accelerator modules and managing manufacturing scale.

Lead board development for ’s accelerator systems
Work with Signal Integrity, PCB, and Mechanical Engineering to solve system level design problems
Collaborate with ODMs/OEMs on system requirements, including bringup and validation plans
Understand datacenter customer requirements and ensure our servers meet them
Bring up of system base board and mezzanine card
Create and manage PCBA documentation including BOMs and special assembly processes
Define test plans and test equipment for bring-up and manufacturing

5-10 years of experience in complex server/switch system design and development
Extensive experience on 100G Ethernet, PCIe Gen5, I2C, SPI, UART interfaces
Familiar with modern AI/datacenter system architecture
Proven track record of designing systems alongside silicon
Deep understanding of datacenter needs, especially with respect to high power (>10 kW) AI servers

is building hardware for frontier intelligence. Co-designing chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, is redefining the infrastructure layer for the fastest growing industry in history.
is looking for exceptional hardware system engineers to join our team. The candidate will be responsible for schematic design for our accelerator module, and will help us pave the way for manufacturing scale.
believes in the Bitter Lesson . We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.
We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.