Engineering Manager - Computer Vision & Cloud
First seen by Alion on Oct 31, 2026.
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)
Skills
Engineering Management, Computer Vision, Cloud, Machine Learning, AWS, Image Processing, ADAS, SoC, Embedded System, Automotive Telematics