Quartermaster AI · 3 months ago
Machine Perception Engineer (Vision)
Quartermaster is seeking a highly experienced Machine Perception Engineer to lead the development of edge-deployed perception and intelligence systems for maritime environments. This role focuses on enabling vessels to autonomously understand their surroundings through real-time scene analysis, object detection, classification, and tracking, while optimizing vision models for constrained compute conditions.
Defense & Space
Responsibilities
Lead the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking
Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference
Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data
Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources
Develop techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments
Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization
Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines
Own model evaluation processes and benchmarking across hardware platforms and field conditions
Maintain best practices for model versioning, traceability, and validation in safety-critical applications
Qualification
Required
Lead the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking
Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference
Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data
Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources
Develop techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments
Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization
Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines
Own model evaluation processes and benchmarking across hardware platforms and field conditions
Maintain best practices for model versioning, traceability, and validation in safety-critical applications
8+ years of experience in applied perception or computer vision, in performance critical applications
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
Strong understanding of classical vision (OpenCV) as well as modern deep learning methods
Excellent problem-solving, debugging, and software design skills
Strong communication skills, with the ability to lead technical direction and mentor junior engineers
Preferred
Bachelors, Master's or PhD in Computer Vision, Machine Learning, Robotics, or related field
Familiarity with maritime, aerospace, or other harsh-environment sensing applications is a strong plus
Experience with sensor fusion, Kalman filtering, or multi-modal neural networks
Benefits
Competitive salary
Flexible work hours and the option for remote work.
Opportunities for professional development and continued education.
Company
Quartermaster AI
We are a defense technology company using proprietary AI robotics tech to build a sensor constellation to deliver unprecedented insights into global maritime activity.
H1B Sponsorship
Quartermaster AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase