Engineering Manager
- Computer Vision + Cloud

About The Role
We are seeking a seasoned Engineering Manager to lead the development of our end-to-end Video Telematics and Cloud Analytics Platform. This role demands a robust technical leader with experience across embedded systems, AI/ML, computer vision, cloud infrastructure and data analytics. You will drive technical execution across multidisciplinary teams, overseeing everything from edge-based video analytics to cloud-hosted dashboards and insights.

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 : infrastructure, APIs, analytics dashboards and system scalability.
• AI/ML and Computer Vision : DMS/ADAS model deployment and real-time inference.
• Hardware/Embedded : 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). Requirements Must-Have :
• Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field.
• 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.
• Proficiency 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 with data pipelines, SQL/NoSQL databases and analytics tools (e.g., Redshift, Snowflake, Grafana, Superset). Good-to-Have
• 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) (ref:hirist.tech)

📌 Novus Hi-Tech (Gurugram)
🏢 Novus Hi-Tech
📍 Gurugram