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20 часов назад

Field Application Engineer (Edge AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Field Application Engineer (Edge AI): Enabling successful evaluation, design-in, and deployment of hirify.global AI processors in production edge devices with an accent on SoC integration, AI model optimization, and system-level debugging. Focus on bridging the gap between customers, sales, and R&D to troubleshoot performance, latency, and power issues across hardware and software.

Location: On-site in the Bay Area / Silicon Valley. Travel is required (typically 1 week per month).

Company

hirify.global is a high-tech company developing high-performance AI processors for edge devices across various industries.

What you will do

  • Act as the primary technical interface for customers integrating hirify.global AI processors into edge platforms.
  • Analyze customer requirements and system architectures to recommend optimal AI solutions.
  • Support hardware/software bring-up, evaluation, and debugging of AI solutions.
  • Optimize AI models for computer vision and generative AI workloads using hirify.global's SDK and compiler.
  • Collaborate with Sales, Product Management, and R&D to influence the product roadmap.
  • Deliver technical presentations, demos, and trainings to customers and partners.

Requirements

  • Bachelor’s degree in Electrical Engineering, Computer Science, or a related field.
  • At least 5 years of hands-on experience as a SW/embedded developer.
  • Strong background with SoC and Linux-based embedded platforms.
  • Proficiency in C/C++ and Python.
  • Knowledge of AI inference pipelines and deep learning frameworks (TensorFlow, PyTorch, or ONNX).
  • Ability to debug complex system-level issues across hardware, drivers, and applications.

Nice to have

  • Experience with edge AI SoCs, AI Accelerators, GPUs, or NPUs.
  • Familiarity with camera systems, video pipelines, or ISPs.
  • Understanding of AI performance metrics (FPS, latency, TOPS).
  • Background in video analytics or generative AI (VLM/LLM).

Culture & Benefits

  • Work with best-in-class Edge AI hardware enabling both classic and generative AI.
  • High-impact role influencing real customer designs for Tier-one companies.
  • Environment focused on teamwork, support, and professional growth.
  • Flexible work environment that encourages work-life balance.

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