Director of Software Engineering, Applied AI - 22010127

  Location: United States
  Full-Time


Job Title:            Director of Software Engineering, Applied AI

Department:       R&D Software

Region:              U.S.A & Canada

COMPANY DESCRIPTION:

Quanergy’s (NYSE:  QNGY and QNGY.WS) mission is to create powerful, affordable smart LiDAR solutions for automotive and IoT applications to enhance people’s experiences and safety. Quanergy has developed the only true 100% solid-state CMOS LiDAR sensor built on optical phased array (OPA) technology to enable the mass production of low-cost, highly reliable 3D LiDAR solutions. Through Quanergy’s smart LiDAR solutions, businesses can now leverage real-time, advanced 3D insights to transform their operations in a variety of industries including industrial automation, physical security, smart cities, smart spaces and much more. Quanergy solutions are deployed by nearly 400 customers across the globe.

JOB DESCRIPTION:

Quanergy is building several complex cross-platform software solutions based on processing our LiDAR sensor data. We are looking for a Director of Applied AI to lead our continued development and deployment of artificial intelligence algorithms. You will report to the VP of Software Engineering and work closely with other software engineering directors to explore new approaches to get the most out of point cloud data. You will architect and deploy our next generation of perception software.

CORE RESPONSIBILITIES:

  • Lead a team performing AI R&D on point cloud data.
  • Be the company AI expert, driving strategy and direction for next generation products
  • Architect a plan to leverage edge processing and cloud processing for scalability
  • Build, manage, and mentor a team of engineers to support the strategy
  • Manage products to deployment and beyond
  • Work within an agile environment
  • Plan, schedule, and ensure the timely execution of tasks
  • Be a hands-on leader

REQUIRED KNOWLEDGE, SKILLS, & ABILITIES

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  The requirements listed below are representative of the knowledge, skills, and ability required.

EDUCATION REQUIRED:

  • B.S. in Computer Science, Data Science, Engineering, or a related field

Required Qualifications:

  • Track record of deploying multiple AI based SW products with successful commercial outcomes
  • Proven track record of developing a roadmap and navigating the tradeoffs
  • 3+ years of experience in C++ programming
  • 5+ years of experience building machine learning and/or AI products
  • 3+ years of experience building products based on deep learning
  • Experience building and leading an AI team.
  • Extensive experience and a deep understanding of machine learning techniques including classical methods, deep learning, and data preparation
  • Experience working with 3D point cloud data, preferably with deep learning

PREFERRED QUALIFICATIONS:

  • M.S./PhD in Computer Science, Data Science, Engineering, or a related field
  • Experience deploying AI solutions at the edge and/or in the cloud
  • Experience with Agile methodologies
  • Experience with Atlassian tools (Jira, Confluence, Bitbucket) and Jenkins

 

 

 

 

 

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