Edge AI Application Engineer for Wearables & IoT

FONTES SINGAPORE PRIVATE LIMITED

Singapore

Sur place

SGD 70 000 - 110 000

Plein temps

Il y a 5 jours
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Résumé du poste

FONTES SINGAPORE PRIVATE LIMITED in Singapore seeks an experienced Application Engineer to assist customers in integrating a high-performance AI-enabled semiconductor into their edge devices. The role covers customer application support, reference design development, and collaboration with the AI team to optimize on-device inference and deployment.

The candidate should have 4+ years in applications or embedded hardware, strong C/C++ skills on RISC‑V, and hands-on PCB design experience.

Qualifications

  • BS/MS in Electrical, Electronic, or Computer Engineering or equivalent.
  • 4+ years in applications, embedded, or hardware engineering with shipped products or customer-facing demos.
  • End-to-end PCB design (schematic, layout, bring-up) in Altium, KiCad, or OrCAD.
  • Strong embedded C/C++ on RISC‑V with FreeRTOS or Zephyr.
  • Experience with edge ML deployment and sensor interfacing.

Responsabilités

  • Guide customers from requirements to design-in, evaluation, integration, and optimization of the chip.
  • Map customer use cases to the chip and deploy models on target hardware.
  • Support pre-sales with technical deep dives, feasibility studies, and PoCs.
  • Own end-to-end reference designs for wearables and IoT devices.
  • Develop embedded firmware and build companion apps and dashboards.

Connaissances

Embedded C/C++
RISC-V
Python
Hardware debugging
PCB design
FPGA/embedded tooling

Formation

BS/MS in Electrical/Electrical & Electronics Engineering

Outils

Altium
KiCad
OrCAD
JTAG/SWD debuggers

Description du poste

FONTES SINGAPORE PRIVATE LIMITED in Singapore seeks an experienced Application Engineer to assist customers in integrating a high-performance AI-enabled semiconductor into their edge devices. The role covers customer application support, reference design development, and collaboration with the AI team to optimize on-device inference and deployment.

The candidate should have 4+ years in applications or embedded hardware, strong C/C++ skills on RISC‑V, and hands-on PCB design experience.

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