Vision Software
5 days ago
Job Title: Vision Software & Hardware Expert
Role Summary
We are seeking an accomplished Vision Software & Hardware Expert with deep technical knowledge across industrial and AI-based vision systems, camera hardware, and edge computing platforms. The role demands a professional who can lead sensor evaluation, Sensor integration, HW communication architecture design, and large-scale integration for Tolling, MLFF (Multi-Lane Free Flow) and Intelligent Transportation Systems (ITS).
The ideal candidate brings a unique blend of hands-on engineering expertise, system-level integration knowledge, and strategic technology foresight to deliver performance-driven, reliable, and scalable vision ecosystems.
Key Responsibilities
- Lead technology scouting and benchmarking for cameras, radars, LiDARs, and edge processors.
- Conduct PoC evaluations and field trials, defining performance criteria for accuracy, latency, and reliability.
- Design end-to-end vision and sensor integration architectures across analytics, edge, and backend systems.
- Prepare vendor comparison matrices, cost-benefit analyses, and certification readiness reports.
- Collaborate with cross-functional teams to optimize ANPR, vehicle classification, and enforcement accuracy.
- Contribute to the strategic technology roadmap for MLFF and ITS advancements.
- Contribute to overall system design & solutioning including Sensors, connectors, switches, sizing etc.
Required Skills & Experience
- Experience:
- 10+ years in computer vision, imaging systems, or industrial vision integration.
- Proven experience in Smart City projects or large-scale surveillance projects
- Involved in ITS (Intelligent Transportation System) projects.
- Hands-on experience with multiple global camera brands, recognized video analytics platforms, and video management systems (VMS).
- domain knowledge in radar and RFID technologies, with working knowledge of LiDAR and related MLFF sensors.
- Demonstrated expertise in system integration across heterogeneous vision and sensor systems.
- Technical Expertise:
- Vision Frameworks: OpenCV, PyTorch, TensorRT, DeepStream, NVIDIA Jetson, YOLO (preferably for ANPR applications).
- Hardware: CCTV cameras, LiDARs, radars, IR/thermal imaging systems.
- Edge & AI: GPU-based inference optimization, sensor fusion, edge deployment, and analytics acceleration.
- Communication Protocols: MQTT, ONVIF, RTSP, TCP/UDP, RestAPI.
- Strong understanding of MLFF, ANPR, vehicle classification, and ITS ecosystems.
- Proven ability to evaluate vendors, design sensor architectures, and optimize field performance.
- Excellent analytical, documentation, and cross-functional collaboration skills.
Education
- Bachelor's or Master's degree in Electronics, Computer Science, Mechatronics, or related field.
Work Mode
- Hybrid / On-site, based on project testing and field evaluation needs.
- Willingness to travel for sensor trials, vendor visits, and on-site installations and integrations.
Skills: edge & ai,anpr,communication protocols,hardware,vision frameworks,mlff,vehicle classification,its ecosystems
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