Computer Vision & Hardware Engineer
Thingtrax is building an Agentic Manufacturing Operations platform to fundamentally change how factories run. By deploying AI-powered agents including computer vision systems directly on production lines, we enable manufacturing operations that can observe, reason, and act in real time. Partnering closely with manufacturers, especially in food and beverage, we’re helping teams reduce waste, improve quality, and move from manual intervention to autonomous, continuously optimised operations.
We are setting up a global R&D centre with a state-of-the-art applied AI laboratory, equipped with NVIDIA edge platforms (Jetson / RTX), industrial global-shutter cameras, precision lenses, strobed lighting systems, and high-performance GPU workstations. Engineers will work hands-on with real production hardware, building and optimizing AI systems deployed directly on manufacturing lines.
Key Responsibilities
- Design, develop, and optimize computer vision algorithms for real-time applications in manufacturing processes.
- Implement GPU-accelerated solutions using frameworks like CUDA and OpenCL for enhanced performance.
- Collaborate with cross-functional teams to integrate vision systems with hardware and cloud services.
- Conduct performance profiling, benchmarking, and implementation of optimizations for image processing tasks.
- Research and apply the latest advancements in computer vision, image processing, and deep learning.
- Support model training and deployment on edge devices and cloud environments.
- Troubleshoot and debug hardware and software issues related to vision systems.
- Maintain comprehensive documentation of algorithms, architectures, and workflows.
- Mentor junior engineers as needed and contribute to a collaborative team environment.
- Participate in Agile development practices, including sprint planning and retrospectives.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related fields.
- 3+ years of experience in computer vision and image processing, with a focus on real-time applications.
- Proficient in programming languages such as Python and C/C++; experience with embedded programming is a plus.
- Strong expertise in GPU programming using CUDA and/or OpenCL.
- Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
- Solid understanding of key computer vision techniques including image segmentation, object detection, and tracking.
- Familiarity with edge computing and deployment frameworks for AI models.
- Experience with version control systems, particularly Git.
- Strong analytical skills and problem-solving abilities, with attention to detail.
- Excellent communication skills for collaboration within a team environment.
- Knowledge of industrial automation and IoT systems is a plus.
- Private Health Insurance
- Paid Time Off
- Training & Development
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