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Adagrad is known for developing state-of-the-art Computer Vision based AI solutions. Get a chance to engineer and deploy your algorithms on thousand's of cameras across the globe! 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.
Job Responsibility:
Lead a team of Computer Vision developers, providing technical direction and mentorship
Architect, develop, and optimize 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 NVIDIA Jetson platform (Orin, Xavier, or similar)
Familiarity with NVIDIA GPU deployment workflows (CUDA, TensorRT, 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:
Optimizing GStreamer, and DeepStream applications with CUDA and TensorRT
Experience with model optimization, compression, and model quantization
Background in ANPR, video analytics, or industrial vision systems
Exposure to Vision Language Models or generative AI and frameworks like vLLM, SGLang
What we offer:
Work on real-world, large-scale deployments impacting national infrastructure
Collaborate with a technically strong team passionate about Edge AI
Opportunity to shape how we build and deliver CV solutions with cutting edge technologies like GenAI