🚀 Lead Computer Vision Engineer – Build & Scale Edge AI & Data Pipelines

🛠️ We’re Making Construction Sites Safer with AI

Every year, hundreds of workers are injured or killed in construction accidents involving heavy machinery. We’re building an AI-driven safety system that detects and tracks people in real time around moving equipment, using stereo cameras, depth estimation, and edge AI to prevent accidents before they happen.

We’re looking for a Lead Computer Vision Engineer with experience building and deploying commercial AI/ML products. You’ll own and drive our entire vision stack—from deep learning models to data pipelines for automated training—while ensuring production-ready AI quality, robustness, and trustworthiness.

This is a foundational role, meaning you will directly shape the product, team, and company’s success.

💡 We’re still early, so while our initial salary may not be market-leading, we offer significant equity, ensuring you share in the success we build together.

🎯 The Role

As Lead Computer Vision Engineer, you will:

✅ Develop & optimize computer vision models for stereo depth estimation, object detection, and tracking.

✅ Architect scalable data pipelines for automated data collection, annotation, and training workflows.

✅ Ensure AI quality, robustness, and trustworthiness by leading V&V (verification & validation) processes.

✅ Review, benchmark, and manage trade-offs in the computer vision pipeline to balance performance, accuracy, and efficiency.

✅ Deploy AI models on embedded edge devices for real-world safety applications.

✅ Define the CV roadmap – choosing the best models, frameworks, and optimization strategies.

✅ Work closely with hardware engineers to fine-tune vision models for edge inference.

✅ Collaborate with the CTO & founders to translate research into a production-ready product.

✅ Hire & mentor future CV engineers as we grow.

🔍 Who You Are

🎯 5+ years in computer vision, deep learning & data engineering.

🎯 Experience working on commercial AI/ML products—contributed to real-world deployments.

🎯 Strong in stereo vision, depth estimation & multi-camera systems.

🎯 Proficient in PyTorch, TensorFlow, OpenCV, C++/Python.

🎯 Experience with ML pipelines, data engineering, and automated training workflows.

🎯 Hands-on experience with Jetson, TensorRT, ONNX & edge deployment.

🎯 Holistic view of AI quality – experience with V&V processes, model validation, and deployment standards.

🎯 Startup mindset – thrives in fast-moving, high-ownership environments.

💎 Bonus points if you have:

➕ Experience with ROS, LiDAR fusion, real-time AI.

➕ Passion for AI in safety-critical applications.

➕ Knowledge of active learning & semi-supervised training.

🚀 Why Join Us?

🔥 Your work saves lives. Build AI that actively prevents real-world accidents.

💡 Ownership & Impact. Join early, define the tech direction, and help build the company.

⚡ Cutting-edge AI & Data challenges – stereo depth, real-time vision, edge computing & automated training pipelines.

🌍 Hybrid/Remote Flexibility. Work from Oslo or remotely within Europe.

💻 Top-tier hardware. We provide the best equipment so you can do your best work.

🚀 Equity. Be part of the journey and share in the success as we scale.

📌 Hiring Process

1️⃣ Quick Intro Call (30 min) – Get to know each other.

2️⃣ Technical Case (3-4 hours, async) – Solve a small real-world CV & data problem.

3️⃣ Deep-Dive Interview (90 min) – Discuss the solution & explore collaboration.

4️⃣ Final Chat & Offer – Talk vision, culture & next steps.

⏳ We move fast and respect your time!

📩 Apply Now!

We’re hiring ASAP – apply now or DM us for a chat! 🚀

Know someone perfect for this role? Feel free to share!