Job Title

Overview We are seeking a Senior Computer Vision Engineer with deep expertise in low-level C development on constrained edge devices, specifically Axis Communications cameras (M31xx / M1055-L series) using the ACAP SDK. This role is focused on building high-performance, production-grade computer vision applications running directly on-camera, not in the cloud. You will be working at the intersection of: • Embedded systems • Computer vision • CPU/Memory efficient programming This is not a research role — we are looking for engineers who can ship reliable, optimized, production code under real-world constraints. Applications without demonstrable C-based Embedded or edge computer vision experience will not be considered. Key Responsibilities 1. Edge Computer Vision Development • Develop and deploy ACAP applications in C for Axis cameras (M1055-L or M31XX class devices) • Implement person detection, anon-reID, tracking, and counting • Integrate with Axis Camera Application Platform (ACAP) APIs 2. Performance-Critical Systems Programming • Write highly optimized C code under strict CPU, memory, and thermal constraints • Ensure low-latency (• Optimize for ARM architectures (proprietary Axis ARTPEC-8/9) 3. Video Pipeline Integration Work directly with: H.264/H.265 streams VAPIX / Axis APIs GStreamer pipelines (where applicable) -Handle frame acquisition, decoding, and processing efficiently 4. AI / Inference Integration Integrate lightweight models using: TensorFlow Lite (preferred) ONNX Runtime (if feasible on device) Axis Larod (experience strongly preferred) Optimize inference performance and memory usage 5. Object Detection & Tracking Implement or integrate: YOLOv5/v8 (quantized / pruned) Custom lightweight detection models • Build tracking pipelines (e.g., SORT, DeepSORT, centroid tracking, LTSM backprop network based) 6. Object Detection & Tracking • Very basic web frontend development; more HTML than use of a javascript library 7. Edge Eventing & Integration • Publish events via: -HTTP/REST -MQTT • Ensure reliable, secure, and low-bandwidth communication 8. Deployment & Lifecycle Management • Package and deploy ACAP applications using our build tools (aka Jenkins) • Debug directly on-device (SSH, logs, profiling tools) • Handle firmware compatibility and updates Required Skills & Experience Core • Expert-level C programming (10+ years strongly preferred) • Strong experience in embedded Linux systems • Proven work AI vibe coding tools (Cursor or Windsurf preferred, bring your own) Computer Vision • Practical experience implementing: o Object detection, tracking o Video analytics pipelines • Experience optimizing models for edge deployment Axis / ACAP (Highly Preferred) Experience with: o Axis ACAP SDK o Axis VAPIX APIs o Axis Larod framework • Prior work deploying directly to Axis cameras is a major advantage Performance Optimization • ARM optimization (NEON, SIMD) • Memory-constrained programming • Profiling and performance tuning AI / ML Integration • TensorFlow Lite or similar edge inference frameworks • Model quantization and pruning techniques Nice-to-Have Skills • Experience with GStreamer pipelines • Experience with OpenCV (optimized usage only) • Knowledge of RTSP / video streaming protocols • Experience with MQTT-based architectures • Familiarity with Kubernetes / cloud backends (for integration context) • Experience with security on edge devices (TLS, certs, auth) Bonus Points (Stand-Out Candidates) • Have deployed production workloads on Axis cameras • Have built custom CV pipelines in pure C (not Python wrappers) • Have experience with real-world retail analytics or people counting • Can demonstrate performance benchmarks and optimizations