Job description

Computer Systems Vision Application Engineer - Long Term Project - Glendale, CA.

Description/Comment:
Designs, modifies, develops, writes and implements software programming applications. Supports and/or installs software applications/operating systems. Participates in the testing process through test review and analysis, test witnessing and certification of software. Requires a bachelor's degree in a related area and 0-2 years of experience in the field or in a related area. Has knowledge of commonly-used concepts, practices, and procedures within a particular field. Relies on instructions and pre-established guidelines to perform the functions of the job. Works under immediate supervision. Primary job functions do not typically require exercising independent judgment. Typically reports to a manager.

Basic Qualification:

• 5-15 years of experience developing and delivering software solutions
• A firm understanding of the Camera Pinhole Model
• Proficiency developing C++ code, especially under performance constrained applications
• Experience integrating with and/or deploying perception systems (computer vision, machine learning)
• Understanding of the current landscape of vendors and open source solutions in the machine learning and perception spaces
• Strong communications skills
• Ability to work independently and self-guided when needed
• A keen desire to support your teammates and collaborate with others with a positive and helpful attitude
• Experience working with git, and github or gitlab flow
• Experience working with docker

What you might optionally bring to the role

• Experience with ROS1 or ROS2
• Experience training or performing transfer learning on AI Machine Learning Models
• Experience working with Nvidia TensorRT in C++

Required Education:

• BA or BS degree OR equivalent work experience.

Job Types: Full-time, Contract

Salary: $110.00 - $113.00 per hour

Schedule:

• 8 hour shift
• Monday to Friday

Experience:

• Computer vision: 5 years (Preferred)
• C++: 5 years (Preferred)
• Machine learning: 2 years (Preferred)

Work Location: One location

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