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 strong 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 :

1. Cloud/Backend : infrastructure, APIs, analytics dashboards and system scalability.

2. AI/ML and Computer Vision : DMS/ADAS model deployment and real-time inference.

3. 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)