What are the responsibilities and job description for the Computer Vision Machine Learning Engineer position at Knightwerx?
Computer Vision / Machine Learning Engineer
Join Knightwerx and help build the perception systems that enable autonomous aircraft to understand and navigate the world around them.
This is an opportunity to work on real-world autonomy challenges at the intersection of computer vision, machine learning, robotics, and aerospace. You'll develop perception capabilities that transform raw sensor data into actionable intelligence, enabling autonomous systems to detect objects, understand complex environments, and make informed decisions in dynamic operating conditions.
If you're excited by building cutting-edge AI systems that move beyond research and into operational products, you'll have the opportunity to see your work deployed on next-generation unmanned aircraft used by both commercial and government customers.
Perception Pipeline Development
- Build and own key perception infrastructure including video pipelines, data management systems, and training environments.
- Design and implement real-time computer vision algorithms for high-resolution cameras, depth sensors, and multi-modal sensor inputs.
- Develop object detection, image segmentation, depth estimation, and multi-object tracking capabilities.
- Train, fine-tune, and evaluate machine learning models for scene understanding and 3D occupancy mapping.
Machine Learning and AI
- Build scalable workflows for data collection, curation, labeling, and model training.
- Optimize AI models for deployment on edge computing platforms.
- Integrate perception outputs into autonomy, planning, and control systems.
- Validate performance through simulation and real-world hardware testing.
Required Qualifications
- Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or related field.
- 2-5 years of relevant industry experience.
- Strong C software development skills.
- Experience with PyTorch, TensorFlow, or similar deep learning frameworks.
- Strong understanding of classical and 3D computer vision principles.
- Experience deploying machine learning models on edge hardware such as NVIDIA Jetson.
Preferred Qualifications
- Master's or PhD in a related field.
- ROS2 experience.
- Services-oriented architecture experience.
- Experience with the Isaac sim ecosystem.
- Familiarity with Kubeflow, Airflow, Metaflow, or similar ML infrastructure tools.
Why Knightwerx
At Knightwerx, you'll work directly with the engineers building the UAV’s, autonomy stack, and mission systems. You'll have ownership, visibility, and the ability to influence technical decisions that move products from concept to flight.
We're building American-made, AI-powered unmanned systems where speed, innovation, and execution matter. Engineers here work close to the mission, close to customers, and close to the products they help create.
About Knightwerx
Knightwerx develops American-made, AI-powered unmanned aerial systems and remote sensing technologies that support human-machine teaming in mission-critical environments. We build next-generation aerospace and autonomy solutions for both commercial and government customers where performance, speed, and reliability matter.
As a growing company, we offer the opportunity to work close to the mission, close to the product, and close to the decisions that shape what gets built.
Additional Information
- Onsite position in Scottsdale, AZ
- Relocation assistance available
- Travel as needed to support testing and demonstrations
- Collaborative engineering environment