DarkVision is a Vancouver-based technology company that has been disrupting the industrial imaging market since 2013. We've built the world's most advanced acoustic-based imaging platform, giving our clients a level of clarity into the integrity of their critical assets that didn't exist before. Backed by Blackstone, one of the world's largest private equity firms, DarkVision's team of software, mechanical, and electrical engineers, machine learning specialists, and data analysts is rapidly expanding to meet growing demand for our current and upcoming products. We're a technology company first. Our high-resolution acoustic imaging technology and machine learning capabilities reveal what's happening inside critical assets, wherever they are and whatever industry they're in. That foundation is expanding fast, and so is where we apply it. Our people work at the intersection of hard science and real-world engineering problems, building systems that must perform in some of the most demanding environments on earth. That means we hire for precision and curiosity in equal measure: people who want to solve problems that haven't been solved before, not just execute a known playbook. Join us as we build the technology that defines the next era of industrial imaging.
On-site · North Vancouver
Design, develop, and execute automated tests and test plans across software products, including embedded Linux, Windows desktop applications, cloud processing, and ultrasound hardware. Document and reproduce defects, prioritize testing and escalate risks, and collaborate with developers, product managers, and designers throughout Agile product development.
On-site · North Vancouver
Analyze ultrasound data from pipeline inline inspections to identify and annotate features and defects, and create 3D visualizations and renderings. Prepare and edit detailed client reports and help define processes and training for the ILI data analysis team.
On-site · North Vancouver
Design and execute statistical experiments to validate deep learning model performance, and audit datasets for bias, anomalies, and quality issues. Build production-grade Python analysis pipelines and create 3D visualizations and automated reports that communicate findings to clients and senior stakeholders.
On-site · Vancouver
Inspect and annotate ultrasound imaging data to identify pipeline features and defects, and create 3D visualizations and renderings from raw data. Prepare detailed client inspection reports and help define processes and training for the ILI data analysis team.
On-site · North Vancouver
Research, design, and prototype deep learning architectures for large-scale industrial computer vision tasks, including detection, segmentation, and anomaly detection. Develop data strategies, evaluate and improve model performance, and document experiments and procedures to support reproducibility and engineering integration.
