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Site Manager/ Deep Learning Engineer

Company

VANDU Worldwide

Address San Jose, CA, United States
Employment type FULL_TIME
Salary
Expires 2023-05-16
Posted at 1 year ago
Job Description

Our longterm Client - an AV software provider developing a Level 4 Autonomous Vehicle AI, is looking for a capable and experienced Sr. Deep Learning Engineer to join our Clients R&D team in San Jose and Lead the team of Deep Learning Engineers.

The Site Manager, will also be an active part of the team and will work on devising, developing, and integrating novel deep vision-based algorithms at the heart of our Clients autonomous driving system.

This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our Clients autonomous vehicles.

Position reporting to VP R&D.


Responsibilities:

·Direct manager of SJ site employees including AI Engineers, Software Engineers, Safety Drivers, & test engineers.

·Manage Software & AI projects allocated to the R&D San Jose site, work closely with technical group leaders in the global HQ.

  • Lead, design, train, and optimize novel computer vision algorithms.
  • Supervise complex data pipelines, from the collection stage, through annotation, to models training.
  • Devise and implement performance metrics.
  • In charge of projects through from research to deployment.
  • Plan, guide, and lead medium to long-term projects involving multiple engineers.

·Accountable of SJ Demos – in charge of running AV demos for potential clients, work with software implementation TL (make sure right software version is installed in the car / prepare the right use cases / coordinate demos, etc.)

·Work together with HR to manage local recruitment processes (engage local recruits, interview, work with HR at HQ)

Qualifications:

  • Proficiency in Python programming.
  • A proven hands-on experience in developing deep learning algorithms.
  • Proficiency in English, both written and spoken.
  • Experience in conducting long-term development and/or research projects, in either academia or industry.
  • In-depth, hands-on knowledge of deep learning fundamentals.
  • M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. - Advantage
  • Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry.
  • Experience / knowledge in computer vision and image manipulation algorithms.