Description

Hailo is a leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our team’s expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.

Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up.  As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge. 

To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, Hailo is leading the edge AI revolution.

In this position

As a Field Application Engineer for Hailo in Taiwan, you will be the key technical figure leading Hailo's engagements with customers in region. You will be the direct technical point of contact for our customers, managing the technical aspects of Hailo's business engagement and taking a significant part in bringing Hailo's technology to mass deployment in products.

In this position

None

Responsibilities

  • Be an expert in Hailo’s products. Have a deep comprehension of the product features and product roadmap.
  • Master Hailo’s technical messaging to support business development and sales processes.
  • Deliver technical support for local region Business manager – helping him grow the business in your region.
  • Visit customers and provide end to end technical support, including presentation, debugging, code development, and productization.
  • Present the Hailo solution and conduct training sessions for customers.
  • Understand the customer’s technical use case for Hailo’s technology and the customer’s system comprehensively.
  • Proactively help the customer evaluate and integrate the Hailo solution and help the customer to reach productization of their product when it comes to the Hailo solution.
  • Analyze customer requirements and documentation gaps in the Hailo solution. Report them and proactively work to close these gaps.
  • Create a relationship with the customers helping them understand the Hailo solution and get a better understanding of their requirements.
  • Manage a technical alignment process with customers to communicate status to customers, derive a technical work plan with the customer and generate feedback to Product and R&D.
  • Work closely and collaborate with Hailo’s business group to conquer business milestones and work with Hailo’s product team to drive new product requirements.

Requirements

  • The location is Taipei (preferred). 
  • Excellent people and communication skills
  • At least 5 years of hands-on experience as a SW/embedded developer
  • Quick learner who likes to combine technological disciplines with system-level orientation
  • Embedded systems experience (Linux and/or RTOS)
  • Programming languages: Python, C/C++
  • Presentation skills
  • On-site problem-solving and deep analysis skills
  • Willingness to travel within China for customer support and to Israel for training
  • Fluency in English, at least in reading and writing.

Advantages

  • Experience with ML, Edge AI, and Camera application development. 
  • Experience with camera devices or vision pipeline development.
  • Experience in customer-facing positions (system/program/application)

Experience in NN and Deep learning from one or many of below:

  • Pytorch
  • Tensorflow
  • Onnx

Location

Taipei, Taiwan, TW

Job Overview
Job Posted:
1 month ago
Job Expires:
Job Type
Full Time

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