Company Name:-
Harman International

Job Location:-
Bengaluru, Karnataka

Job Summary:-
A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better.

Innovation, inclusivity and teamwork are a part of our DNA.

When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.

Position Summary: The Telematics Solution position will report into the HARMAN Engineering organization and will be responsible for researching and the delivering softwares, POCs for automotive embedded devices, which are both consumer and automotive grade products.

Telematics is the key foundational technology for the connected car and autonomous driving.

It includes technology like LTE modems and network access devices (NADs) as well as wireless standards e.

g.

BT/WiFi, GNSS, NFC etc.

are one of the fastest growing areas.

HARMAN works with leading suppliers to design telematics solutions to ensure every in-car experience is entertaining, productive, safe, and secure.

As part of an agile team, you will research and build the software on telematics devices with bleeding edge technologies and features like Machine Learning/AI, Edge Computing, IoT.

You will be on a path finding mission to enable and create new business in the Telematics domain.

Will be part of highly visible demos; and lead effort to bring the product and solutions to market.

Your responsibilities include ideate, research, analyze, design, development/coding, build, debug, and modify software enhancements and new products development.

Job Responsibilities:
Understand business objectives, propose solutions, research and implement appropriate ML applications on automotive embedded systems
Research and implement self learning autonomous agents using appropriate ML and AI algorithms and tools
Research and develop POCs and demos in research areas like machine learning, edge computing
Developing deep learning systems for various use cases based on the business needs
Analyzing the ML algorithms that could be used to solve a given problem and ranking them and selecting the candidates, validating them with data and finalizing the most appropriate algorithm
Exploring and visualizing data t

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