Automotive & Aerospace
7 Jul
Software Engineering Manager
Job Purpose: 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 be responsible for driving technical execution across multidisciplinary teams — overseeing everything from edge-based video analytics to cloud-hosted dashboards and insights.
Role Expectations:
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).
Reporting structure:
Role will report into GM-Architect ADAS AM
Interactions:
Internal Stakeholders: Engineers from product development
External Stakeholders: Customers/Clients
II. PEOPLE SPECIFICATIONS
Profile:
Must-Have:
Bachelor’s or Master’s in Computer Science, Electrical Engineering, or 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.
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).
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).
Requisites:
Proven track record of developing software and handling entire product life cycle
Strong foundation in software development and engineering
Experience leading software development for SaaS based products
Competencies:
behavioural:
Hi Tech way of working: We value behaviour aligned with CCODERS
Customer First: Operate with customer success mind set and align all our actions accordingly.
Collaborative problem solving: Organisation interest supersedes individual interests; working together to solve problems effectively.
Ownership & Commitment: Going above & beyond the call of duty while also keeping up with the promises & targets under any circumstances.
Data Driven, First Principle : Objective Decision making based on data (Not on Hunches)
Expanding-Growth Mind set: Be open to new challenges whilst willing to step out of comfort zone in order to learn and grow.
Result & commercial orientation: Manage cost and resources to achieve business outcomes & commercial success.
Speed and Scalable Process Approach: Deploy processes that are flexible, agile and unlocks business value with speed.