About the role
We're looking for a technical lead who can own and drive our computer vision initiatives end-to-end. This is a hands-on leadership role; you'll be writing code, reviewing architectures, mentoring developers, and serving as the primary technical point of contact for our customers.
Responsibilities:
- Lead a team of computer vision developers, providing technical direction and mentorship.
- Architect, develop, and optimise CV algorithms and pipelines.
- Coordinate directly with customers to understand requirements, provide updates, and ensure delivery excellence.
- Oversee deployment of CV solutions on NVIDIA GPU infrastructure (A4500 L4 and similar) and Jetson edge devices (Orin, Xavier, and similar), Raspberry Pi, and similar devices.
- Conduct code reviews and establish best practices for the team.
- Balance individual contribution with team leadership; we expect you to stay close to the code.
Requirements:
- 5+ years of experience in computer vision, with at least 2 years in a lead or senior role.
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorRT, CUDA).
- Hands-on experience with video analytics, object detection, tracking, segmentation, or recognition systems.
- Experience in deploying computer vision pipelines in production.
- Experience with the NVIDIA Jetson platform (Orin, Xavier, or similar).
- Familiarity with NVIDIA GPU deployment workflows (CUDA, TensorRT, and DeepStream is a plus).
- Experience managing or mentoring a team of 3+ developers.
- Strong communication skills: you'll be the face of our technical team to customers.
- Ability to context-switch between writing code and leading people.
Nice to Have:
- Optimising GStreamer and DeepStream applications with CUDA and TensorRT.
- Experience with model optimisation, compression, and model quantisation.
- Background in ANPR, video analytics, or industrial vision systems.
- Exposure to vision language models or generative AI and frameworks like vLLM and SGLang.