Mesh Network Engineer

Location: Ahmedabad

Experience: 48 Years

Department: Embedded Systems / Connectivity / Platform Engineering

Employment Type: Full-time

Omnidya Tech is a deep-tech company building next-generation AI-powered dashcam and intelligent vehicle monitoring systems . Our products combine computer vision, edge AI, embedded hardware, and cloud connectivity to enable safer, smarter, and data-driven mobility solutions for fleets, insurers, and OEM partners.

We are seeking a Mesh Network Engineer to design, develop, and optimize robust mesh and edge networking solutions for connected dashcam systems. This role is critical in ensuring reliable data transmission, low-latency communication, and scalability across distributed vehicular and edge devices operating in challenging real-world environments.

You will work closely with AI, firmware, hardware, and cloud teams to enable seamless connectivity for video, sensor, and AI-generated data.

• Design and implement mesh network architectures for edge devices, dashcams, and vehicular systems
• Optimize network performance for low latency, high throughput, and fault tolerance
• Develop networking solutions supporting AI/Computer Vision workloads (video streaming, inference metadata, alerts)
• Work with protocols such as Wi-Fi Mesh, LTE/5G, Ethernet, MQTT, TCP/IP, UDP
• Analyze and improve network reliability in mobile and constrained environments
• Collaborate with embedded Linux and firmware teams for driver-level and OS-level optimizations
• Monitor, debug, and troubleshoot real-time connectivity issues in production deployments
• Support secure communication using encryption, authentication, and device provisioning
• Contribute to architecture documentation and scalability planning

• Bachelors or Masters degree in Computer Science, Electronics, Networking, or related field
• 48 years of experience in network engineering, mesh networking, or distributed systems
• Strong knowledge of network protocols, routing, and performance tuning
• Experience working with AI, Computer Vision systems, IoT, or edge devices
• Hands-on experience with embedded Linux environments
• Strong debugging and problem-solving skills
• Familiarity with cloud-connected edge architectures

• Experience with vehicular networks or automotive systems
• Exposure to real-time video streaming and edge AI pipelines
• Understanding of network security best practices
• Experience working in hardware-software integrated products

• Opportunity to work on cutting-edge AI + mobility technology
• High ownership role in a fast-growing deep-tech company
• Collaborative engineering culture with real-world impact