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Product Manager-Hardware OPT


Job Id : 10983

Jobtitle : Product Manager-Hardware OPT

Location : Kirkland, WA

Company Name : Iconvergence Solutions

Industry : Information Technology

Salary : $47,631 - $104,360  YEAR

Job type : Contractor

Posted on: 2020-01-22


Required Skills : Machine Learning, Product Management, Hardware

Benefits : No benefits are available


Responsibilities:

  • Define and develop the technical specifications, functional requirements, and statements of work for project deliverables.
  • Manage relationship and deliverables with hardware, software, industrial design, device and component manufacturers and partners.
  • Work with engineering teams to define product requirements and success metrics and ensure high-quality project deliverables by external partners.
  • Manage project scope, deliverables, schedule, budget and risk. Provide reports on project progress, open issues and drive them to closure.
  • Define and deliver analytics on the metrics required to understand progress toward our goals, on budget, on time, and with high quality.
  • Drive processes that ensure the quality of deliverables such as dogfooding, customer feedback, data collection, etc.

Qualifications:

  • Project and product manager with knowledge and experience in hardware design, development, and manufacturing process and lifecycle.
  • Technical understanding of audio, video and vision-based communication systems, hardware components and architectures (CPU/GPU/VPU/Memory/Microphones/Cameras/Speakers, etc Basic understanding of machine learning and compute vision concepts.
  • Strong ability to organize, collaborate on, coordinate and drive complex hardware and software projects. Capable of managing project scope, schedule, budget, risk and change control process.
  • Excellent writing, communication, and interpersonal skills. Capable of developing clear and detailed technical documentation and reports, running effective meetings and working effectively with a wide range of global partners from different backgrounds and cultures.
  • Fast learner, love a great challenge, come up to speed quickly, and deliver, in a self-directed fashion.
  • Technical background in Electrical or Mechanical Engineering are required.
  • Technical background in machine learning, computer vision, camera technology, face, speech and voice recognition are a plus.

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