Sensor Fusion Engineer

ti Steps

3 - 5 years

5 - 7 Lacs

hyderabad chennai bengaluru

Posted:Just now| Platform:

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Skills Required

kalman filter lidar gps radar particle filter reliability

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary:

Sensor Fusion Engineer

Key Responsibilities:

Design, develop, and implement real-time sensor fusion algorithms to combine data from various sensor modalities (LiDAR, radar, cameras, GPS, IMU, etc.).
Apply techniques such as Kalman filters, particle filters, Bayesian estimation, and deep learning where appropriate.
Develop software modules for multi-sensor data integration to support perception, localization, and mapping systems.
Work with hardware and systems engineers to evaluate sensor performance and ensure proper calibration and synchronization.
Perform sensor modeling and characterization to improve accuracy and reliability.
Optimize algorithms for performance, scalability, and real-time deployment on embedded or high-performance computing platforms.
Collaborate closely with perception, localization, and autonomy teams to integrate fusion solutions.
Test and validate algorithms using real-world data and simulation environments.
Contribute to documentation, technical specifications, and compliance standards (e.g., ISO 26262, ASIL, etc.).

Required Skills :

Strong experience in sensor fusion techniques such as:

Extended/Unscented Kalman Filters (EKF/UKF)
Particle Filters
Bayesian filtering and probabilistic robotics

Proficiency in C++, Python, and frameworks like ROS (Robot Operating System).
Solid understanding of linear algebra, statistics, and estimation theory.
Experience with one or more sensor types: LiDAR, radar, camera, GPS, IMU.
Familiarity with time synchronization and sensor calibration methods.

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