ML Engineer I (Computer Vision- Qualcomm)

About Clutterbot

Imagine a world where you never have to worry about picking up clutter again! At our robotics startup, we understand the challenges families face trying to balance work and daily responsibilities while keeping their homes tidy. That's why we're developing a cutting-edge household robot that will revolutionize the way you live. This safe and innovative robot will drive around your house, effortlessly picking up toys, clothes, and other items off the floor and organizing them neatly into containers. Say goodbye to clutter and hello to a more efficient and

stress-free home life!

As part of our close-knit team, you'll have the opportunity to work on cutting-edge technology and be at the forefront of the robotics industry. You'll also have the chance to grow your skills and expertise through collaboration with experienced professionals in the field. Join us in building the future of home automation and experience a fulfilling and rewarding career journey!

About The Role

We are looking for a motivated Sensor Fusion Engineer to join our team and work on developing and fine-tuning sensor fusion algorithms for home robots. As a Sensor Fusion Engineer, you will be responsible for designing and deploying sensor fusion methods that improve state estimation by integrating data from various sensors, such as RGB cameras, IR range sensors, and Depth ToF. You will ensure that the sensor fusion algorithms are robust, scalable, and efficient, adapting over time based on data collected from the robot's initial working sessions. Your work will play a key role in enhancing the robot's performance in dynamic environments.

Responsibilities

• Develop and deploy deep learning models for computer vision tasks such as semantic segmentation, object detection, and image classification.
• Fine-tune and optimize deep learning models to improve performance and efficiency.
• Develop and deploy sensor fusion algorithms by combining data from multiple sensors (e.g., RGB cameras, IR range sensors, and Depth ToF sensors) on edge devices such as Nvidia Jetson or Qualcomm RB5 kits.
• Create and refine calibration methods for accurate data alignment and synchronization across sensors.
• Collaborate with software engineers and product managers to ensure seamless integration and deployment of sensor fusion solutions in real-time systems.
• Stay up-to-date with the latest advancements in sensor fusion, machine learning, and edge computing technologies.

Requirements:

• Bachelor's or Master's degree in Computer Science or related field.
• Strong programming skills in C++ and Python.
• 1-3 years of experience in training and deploying deep learning computer vision models such as semantic segmentation, object detection, and image classification on Nvidia or Qualcomm platform.
• Hands-on experience working with RGB cameras, IR range sensors, Depth ToF sensors, and edge devices like Nvidia or Qualcomm kits.
• Familiarity with frameworks and libraries such Gstreamer, OpenCV, TensorFlow, PyTorch.
• Experience in developing and deploying algorithms on embedded systems and optimizing for computational efficiency in edge environments.
• Ability to work collaboratively with cross-functional teams and handle multi-sensor data to create reliable and real-time solutions.

Benefits

• Competitive compensation package
• Team building activities
• Flexible work culture
• Company Sponsored Devices.