Job Title

Key Responsibilities:Platform Leadership- Own and drive the development of the complete video telematics ecosystem, covering edge AI, video processing, cloud platform, and data insights. - Architect and oversee scalable and secure cloud infrastructure for video streaming, data storage, OTA updates, analytics, and alerting systems. - Define the data pipeline architecture for collecting, storing, analyzing, and visualizing video, sensor, and telematics data.Cross-functional Engineering Management- Lead and coordinate cross-functional teams: - Cloud/backend team for infrastructure, APIs, analytics dashboards, and system scalability. - AI/ML and CV teams for DMS/ADAS model deployment and real-time inference. - Hardware/Embedded teams for firmware integration, camera tuning, and SoC optimization. - Collaborate with product and business stakeholders to define the roadmap, features, and timelines.Data Analytics- Work closely with data scientists to build meaningful insights and reports from video and sensor data. - Drive implementation of real-time analytics, fleet safety scoring, and predictive insights using telematics data.Operational Responsibilities- Own product quality and system reliability across all components. - Support product rollout, monitoring, and updates in production. - Manage resources, mentor engineers, and build a high-performing development team. - Ensure adherence to industry standards for security, privacy (GDPR), and compliance (e.g., GSR, AIS-140).Pre-Requisites:- 7+ years of experience in software/product engineering, with 2+ years in a technical leadership or management role. - Deep understanding of cloud architecture, video pipelines, edge computing, and microservices. - Proficient in AWS/GCP/Azure, Docker/Kubernetes, serverless computing, and RESTful API design. - Solid grasp of AI/ML integration and computer vision workflows (model lifecycle, optimization, deployment). - Experience in data pipelines, SQL/NoSQL databases, and analytics tools (e.g., Redshift, Snowflake, Grafana, Superset). - Prior work on automotive, fleet, or video telematics solutions. - Experience with camera hardware (MIPI, ISP tuning), compression codecs (H.264/H.265), and event-based recording. - Familiarity with telematics protocols (CAN, MQTT) and geospatial analytics. - Working knowledge of data privacy regulations (GDPR, CCPA)Please share your resumes with bhawna@