> Markdown version of [/jobs/ext/2217980-senior-computer-vision-engineer-classical-deep-learning](https://www.wearedevelopers.com/jobs/ext/2217980-senior-computer-vision-engineer-classical-deep-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Computer Vision Engineer - Classical & Deep Learning - **Company:** Spirite Industries, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, C++ (Programming Language), Cursor (Graphical User Interface Elements), Programming Tools, Python (Programming Language), Language Modeling, NumPy, Object Detection, OpenCV, Sensor Fusion, Visual Systems, Graphics Processing Unit (GPU), GitHub Copilot, Pytorch, Deep Learning, ONNX (Open Neural Network Exchange) Format, TensorRT, Lidar - **Published:** August 25, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecc0q8494 ## About the Role * At least 5 years in computer vision engineering, with vision systems shipped to production - not just research prototypes * Solid grounding in geometric vision: projective geometry, camera models, epipolar geometry, and 3D reconstruction fundamentals * Hands-on deep learning experience: training and deploying CNN- and transformer-based models (e.g., YOLO family, Mask R-CNN, DETR, SAM) for real applications * Strong Python and OpenCV skills; comfort with PyTorch and the surrounding ecosystem (torchvision, Albumentations, ONNX) * Experience optimizing inference for constrained environments - latency budgets, embedded hardware, or high-throughput video * The judgment to pick a homography over a transformer when the problem calls for it - and to defend that choice * Ability to work autonomously while collaborating effectively with architects, engineers, and product teams * Fluent English (both written and spoken) * Fluent Polish required * Residing in Poland required Nice to have * C++ skills for performance-critical pipelines and integration with existing vision systems * Previous work with visual SLAM, sensor fusion (LiDAR, radar, IMU), or autonomous driving perception stacks * Exposure to vision-language models (CLIP, Grounding DINO) and foundation-model-based labeling or zero-shot pipelines * Experience deploying on NVIDIA Jetson, industrial cameras (GenICam/GigE), or cloud vision services on Azure, AWS, or GCP ## Description AI Grant - Stop talking about AI and start building it. Our AI Grant gives you dedicated budget and resources to turn your wildest AI idea into a working project, backed by two paid weeks to focus on nothing else. AI Center of Excellence - Work alongside specialists in agentic AI, sovereign AI, generative and discriminative AI. This isn't a siloed team - it's the people you'll learn from and build with daily. Your tools, your choice - Full access to AI-powered development tools including Claude, Cursor, and GitHub Copilot. Pick what works best for you. Real project variety - From generative AI for legal document compliance through agentic systems in manufacturing environments to enterprise-scale AI platforms, computer vision, and autonomous driving. You won't get bored. Conference and speaking support - Want to attend conferences? We'll back you. Want to speak at them? Even better - we'll support you with dedicated preparation time and bonuses. Your tasks * Design and implement vision systems combining classical and learning-based approaches - choosing the right method for the constraints of each problem * Apply geometric computer vision in practice: camera calibration (intrinsic/extrinsic), stereo and multi-view geometry, feature detection and matching, pose estimation, structure-from-motion, and visual SLAM * Build, train, and fine-tune deep learning models for object detection, semantic and instance segmentation, multi-object tracking, OCR, and anomaly detection using PyTorch * Develop image processing pipelines with OpenCV and NumPy: filtering, morphology, thresholding, contour analysis, and color space operations * Optimize models and pipelines for deployment: quantization, pruning, ONNX/TensorRT conversion, and real-time inference on edge devices and GPUs * Own data quality end-to-end: dataset design, annotation strategy, augmentation, and systematic error analysis on real-world imagery * Build evaluation frameworks that measure what matters in production - not just mAP on a benchmark, but failure modes under real conditions * Collaborate with AI Architects and ML engineers to integrate vision components into larger systems, on-prem and in the cloud ## Related Videos - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) ## Related Articles - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data) - [6 Emerging Technologies We’ll Learn About in 2025](https://www.wearedevelopers.com/magazine/381-6-emerging-technologies-we-ll-learn-about-in-2025) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)