Intenseye
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Intenseye Offices
Intenseye is headquartered in New York and has 3 office locations.
OnSite Workplace
Employees work from physical offices.
We expect all our employees to work from the office at least 3-4 days a week. Friday's are work from home.
Typical time on-site:
5 days a week
U.S. Office Locations
Global Office Locations
New York
220 W 19th St, FL 4, New York, New York, United States, 10011 4035
Berlin
TBC, Berlin, Germany, TBC
İstanbul
Nisbetiye, Nispetiye Cd No:24, İstanbul, Turkey, 34340 Besiktas
Recently posted jobs
Artificial Intelligence • Computer Vision • Hardware • Software
Lead technical deployments of an AI-powered workplace safety platform across industrial facilities. Responsibilities include configuring edge devices, IP cameras, video management systems, industrial protocols, cloud connectivity, network architectures, and safety monitoring rules. The role conducts technical assessments, troubleshoots multi-vendor environments, supports proofs of concept, coordinates go-lives, documents solutions, and collaborates with customers, sales, implementation, engineering, product, and security teams. Travel to customer sites may comprise 50–60% of the role.
Artificial Intelligence • Computer Vision • Hardware • Software
Deploys and maintains edge AI systems in factories and warehouses. Works directly with customers to understand operations, define solutions, prototype and validate workflows on site, troubleshoot deployments, and improve reliability. Collaborates with backend, frontend, and research teams to turn field learnings into reusable modules, playbooks, and product improvements. The role is based in New York City with three office days weekly and up to 30% client-site travel.
Artificial Intelligence • Computer Vision • Hardware • Software
Build full-stack features spanning React/TypeScript frontends and C++/Python backends. Design low-latency data pipelines, REST APIs, and async services to process real-time computer vision event streams. Collaborate with product, design, and research, contribute to GCP infrastructure, engage with customers, and champion performance, testing, observability, and documentation.
