orca-ai
Orca AI is seeking a senior engineer to own the performance and reliability of real-time computer vision pipelines on edge systems for maritime vessels. The role involves optimizing inference, profiling system bottlenecks, and ensuring robust production deployment of AI models in safety‑critical environments.
Headquarters
London, England, United Kingdom
Company Size
11-50 employees
Founded
2018
Orca AI delivers an AI-powered situational awareness platform for maritime operations, combining ship sensors, cameras, radar, and AIS to detect and predict collision risks and other navigational hazards in real time. Using computer vision and deep learning, it automatically identifies vessels and objects, tracks trajectories, and issues actionable alerts and visualizations for bridge teams and shore-side operators. Designed for commercial shipping, passenger vessels, offshore and port operations, Orca AI aims to reduce human error, prevent accidents, and improve compliance and operational decision-making. Its solution can be retrofitted to existing vessels and supports post-incident analysis, training, and integration with onboard and shore-based systems.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for orca-ai.
orca-ai didn’t post a salary, so this is our estimate from similar listings.
42% above the average for this role