Description:

Motive empowers physical operations with tools to enhance safety, productivity, and profitability.
The company serves over 120,000 customers across various industries, including transportation, construction, and retail.
As a Computer Vision Engineer, you will work on technology that understands driving behavior and identifies risk factors.
Your role will involve designing and implementing complex computer vision systems.
You will improve algorithms for edge processing and implement cloud services for end-to-end product features.
You will collaborate with a team of experienced researchers and engineers in Computer Vision, Machine Learning, and Robotics.
Responsibilities include improving existing models, optimizing algorithms for real-time performance, and writing Python and C++ code.
You will convert research prototypes into reliable product features and solve complex computer vision problems.
The role also involves building automated deployment and validation pipelines.

Requirements:

A Bachelor's degree in computer science, software engineering, data science, artificial intelligence, or a related field is required.
A Master's or PhD in Computer Vision, Deep Learning, or Machine Learning is preferred.
A solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches is necessary.
Hands-on experience with training frameworks and tools such as TensorFlow, Pytorch, or Caffe is required.
Strong experience in Python or C++ is essential.
Experience in building embedded algorithms and applications is required.
Familiarity with AWS tools (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes is a plus.
Prior experience with the Eigen library and RTOS is a strong advantage.

Motive promotes a diverse and inclusive workplace, welcoming individuals from various backgrounds and experiences.
The company is an equal opportunity employer, ensuring fair treatment for all applicants.
Employees must be authorized to access commodities and technologies controlled under U.S. Export Administration Regulations.