Modern supply chains depend on seamless coordination across vast networks of facilities, equipment, and logistics operations. Yet critical visibility gaps remain places where decisions are made without complete information, where optimization is constrained by the limits of manual oversight, and where inefficiency compounds across thousands of sites.
We're building a computer vision and AI platform that changes this. By creating a unified intelligence layer across fragmented operations, we're enabling real-time understanding and automation where it matters most.
We're early, backed by Merantix Capital, and working with strategically important design partners in logistics and manufacturing. This is the kind of infrastructure problem that, once solved properly, scales across an entire industry.
As Senior Computer Vision Engineer, you'll be instrumental in taking our automation platform from early prototypes into production systems deployed across logistics networks. You'll report directly to our CTO/Co-founder and work alongside a growing engineering team.
This is a hands-on, high-ownership role for someone who wants to solve real-world problems at scale. You'll work on cutting-edge computer vision challenges real-time object tracking, multi-view 3D reconstruction, ID association, and behavioral anomaly detection in messy, industrial environments.
Key ResponsibilitiesML TRAINING & INFRASTRUCTURE
EDGE & PRODUCTION
CUSTOMER & PRODUCT
You are a highly skilled computer vision engineer with proven experience taking CV projects from research/prototyping into production. You're excited about solving hard technical problems in real-world industrial settings. You communicate clearly, work autonomously, and thrive in a fast-moving startup environment.
5+ years of hands-on experience in computer vision, AI/ML or robotics projects
Fluent English (German not required)
Experience with multi-camera systems, 3D tracking, or geospatial reasoning
Hands-on data labeling & curation experience (understanding ground truth quality)
Prior experience in a startup or early-stage company environment
Familiarity with sensor fusion (combining camera, LiDAR, radar)
Competitive salary + stock options (meaningful equity as an early engineer)
Build the core team with us
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply.
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