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Novus Hi-Tech
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Engineering Manager

Engineering Manager

Novus Hi-Tech

7 years

0 Lacs

Gurugram Haryana India

Posted:9 hours ago| Platform:

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Skills Required

engineering development video telematics analytics ai data drive processing storage pipeline ml model deployment integration tuning reports scoring reliability support monitoring security compliance electrical software leadership management aws gcp azure docker kubernetes api vision optimization sql nosql redshift mqtt regulations

Work Mode

On-site

Job Type

Full Time

Job Description

Engineering Manager (ADAS)

About the Role

Engineering Manager

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).

Requirements:

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).

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