Robotics Computer Vision Engineer

Key Skills

AI Robotic systems, Algorithms, Big Data Technology, C++, Computer Vision (CV), Data science techniques, Linux Operating system, OpenCV, Python Programming, PyTorch, Statistical modeling, TensorRT

Job Description

Join a team recognized for leadership, innovation and diversity

The future is what you make it.

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future.

That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.

Working at Honeywell isn’t just about developing cool things. That’s why all our employees enjoy access to dynamic career opportunities across different fields and industries.

Are you ready to help us make the future?

Honeywell is a Fortune 100 company with global sales surpassing $40B and has been one of Fortune’s Most Admired Companies for over a decade. Through innovation, the Company brings together the physical and digital world to tackle some of the toughest societal and business problems – making the world a more productive, safe, and balanced place.

We’re looking for a new senior team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning. You will have endless opportunities to progress your career as you develop new offerings that impact a wide range of industries, improve the quality of life, and truly change the world.

As a Computer Vision (CV) Engineer with Honeywell, this is your opportunity to develop and implement computer vision machine learning models optimized for robotics applications to address unusual and complex problems for a variety of breakthrough solutions.

YOU MUST HAVE

• Master’s or PhD degree in Data Analytics, Statistics, Computer Science, Engineering, or Applied Mathematics
• 3+ years practical experience in developing, optimizing performance, and implementing predictive machine learning models within computer vision and video analytics domains.
• Practical experience implementing CV ML models using deep learning inference engines including Tensor RT, Open VINO, Qualcomm Neural Processing SDK, PyTorch, Detectron2, OpenCV and PCL
• Programming experience in C++ & Python
• Experience developing on Linux

WE VALUE

• A deep understanding of big data concepts and knowledge of big data languages/tools.
• Exceptional data science skills, including a deep understanding of statistics, probability, and algorithms that enable you to quickly come up with solutions that combine multiple information streams.
• Experience working with remote and global teams
• Experience with ROS and/or ROS2
• Experience with ML Ops
• Experience with selecting appropriate vision sensing systems and building computer vision product solutions combing hardware and