🛠 Tech Stack

💼 About This Role

You'll develop and maintain GStreamer and DeepStream-based pipelines for real-time AI traffic sensors. Your work will directly improve safety and sustainability in transport systems globally. This role offers deep technical ownership at the intersection of AI, hardware, and real-world deployment.

🎯 What You'll Do

• Optimize GStreamer and DeepStream pipelines for edge devices
• Deploy and improve deep learning models on NVIDIA Jetson
• Collaborate with hardware engineers on sensor integration
• Debug and support production vision systems

📋 Requirements

• Experience with NVIDIA DeepStream and GStreamer in production
• Ownership of complex vision systems including structure and upgrades
• Worked under edge constraints (latency, compute, memory)
• Understanding of end-to-end video/vision systems from camera to output

✨ Nice to Have

• Proficiency with Golang
• Experience deploying deep learning models with custom layers
• Experience with production IoT systems or ML ops

🎁 Benefits & Perks

• 🏖️ Flexible hybrid working (2 days/week in office)
• 💰 Salary up to £70k depending on experience
• 🌍 Impact on global transport safety
• 📈 Growth in a scale-up environment

📨 Hiring Process

Estimated timeline: 3-5 weeks

1. 1Screening interview· 30 min
2. 2System design interview· 1.5 hours
3. 3Final round (technical + soft skills)· 1.5 hours