Motive empowers physical operations with tools to enhance safety, productivity, and profitability.
The company serves over 100,000 customers across various industries, including transportation, construction, and retail.
As a Computer Vision Engineer, you will join a team focused on building technology to understand driving behavior and improve fleet safety.
You will design and implement complex computer vision systems and improve algorithms for edge processing.
The role involves collaborating with a team of experienced researchers and engineers in Computer Vision, Machine Learning, and Robotics.
You will work on improving existing models and algorithms, optimizing them for real-time performance on embedded platforms.
Responsibilities include writing Python and C++ code, converting research prototypes into product features, and solving complex computer vision problems.
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++ programming is essential.
Experience in building embedded algorithms and applications is required.
Familiarity with tools and technologies like AWS, CI/CD, Terraform, Docker, and Kubernetes is a plus.
Prior experience with the Eigen library and RTOS is considered a strong advantage.
Benefits:
Motive promotes a diverse and inclusive workplace, valuing different backgrounds and perspectives.
The company is an equal opportunity employer, ensuring fair treatment for all applicants.
Employees are required to be authorized to access controlled commodities and technologies under U.S. Export Administration Regulations.
