Novus Hi-Tech

Novus Hi-Tech provides AI-driven robotics and ADAS solutions that improve safety, productivity, and efficiency in manufacturing, warehousing, and mobility. It achieves this with software-defined autonomous mobile robots, computer vision, AI, and a fog platform. The company serves automotive, pharma, e-commerce, FMCG, solar, and paint sectors, with over 100 patents and 1000 deployments. With a global customer base and multi-region presence, it targets enterprise manufacturing and logistics for scalable autonomous solutions.

ADASAIAutomationComputer VisionLogisticsManufacturingRoboticsSmart Mobilitynovushitech.com

Novus Hi-Tech

ADASAIAutomationComputer VisionLogisticsManufacturingRoboticsSmart Mobilitynovushitech.com

HQGurgaon, IN

Team Size407

Open Jobs20

Total Funding-

Latest FundraiseUnknown

Join the Team

Novus Hi-Tech - Engineering Manager

On-SiteGurugram, Haryana, IN

On-Site • Gurugram, Haryana, IN

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Technical Writer

Full-timeManchester, GB

Full-time • Manchester, GB

Software Engineer

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

Data Scientist

ContractAustin, US

Contract • Austin, US

Data Scientist

InternshipBerlin, DE

Internship • Berlin, DE

Data Scientist

Part-timeNew York, US

Part-time • New York, US

Backend Developer

Part-timeManchester, GB

Part-time • Manchester, GB

Description 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 be responsible for driving 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 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 :

Bachelors or Masters 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).

(ref:hirist.tech)