ADAS Algorithm/Sensor Fusion Engineer

SIRI AB; India; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A technology company in India is seeking an experienced ADAS Algorithm/Sensor Fusion Engineer. The role involves developing, optimizing, and validating perception and sensor fusion algorithms for automotive applications. Candidates should have strong programming skills in C/C++, proficiency in Python, and experience with sensor fusion methodologies. Ideal applicants will have a solid background in algorithm design and implementation for automotive systems, particularly working with camera, radar, and LiDAR data.

Qualifications

• 8-10 years of experience in a relevant field.
• Strong understanding of algorithm design and validation.
• Experience with real-time embedded systems.

Responsibilities

• Design and implement perception and sensor fusion algorithms for ADAS applications.
• Develop and optimize multi-sensor fusion pipelines using sensor data.
• Validate algorithms using various testing methodologies.

Skills

Strong programming skills in C/C++

Proficiency in Python

Understanding of sensor fusion

Experience with object tracking techniques

Knowledge of camera, radar, and LiDAR characteristics

Implementation of algorithms on ADAS ECUs

Tools

MATLAB / Simulink

ROS

Job description

2026033 - ADAS Algorithm/Sensor Fusion Engineer

Job Location: India

Number Of Positions: 1

Work Experience: 8-10 years

Profile Send by Date: 2026-03-23

Job Description

We are seeking an ADAS Algorithm / Sensor Fusion Engineer with strong expertise in developing, optimizing, and validating perception and sensor fusion algorithms for production automotive ECUs. The role focuses on algorithm design, mathematical modelling, and real-time implementation for camera, radar, and LiDAR-based ADAS functions.

Key Responsibilities

• Design and implement perception and sensor fusion algorithms for ADAS applications.
• Develop and optimize multi-sensor fusion pipelines using camera, radar, and LiDAR data.
• Design object detection, classification, tracking, and state estimation algorithms (e.g., Kalman Filter / EKF / UKF).
• Implement data association, sensor synchronization, and temporal filtering techniques.
• Develop algorithms for Parking Assist, Surround View, ACC, and AEB features. Optimize algorithms for real-time execution on automotive ADAS ECUs.
• Validate algorithms using MiL / SiL / HiL, vehicle testing, and simulation environments.
• Analyze field and test data to improve robustness, accuracy, and system performance.
• Debug and resolve algorithm-level issues during vehicle testing and production usage.
• Work closely with system, software, and validation teams to ensure compliance with automotive quality and safety standards.

Requirements

Must-Have Technical Skills

• Strong programming skills in C/C++ for real-time embedded systems.
• Proficiency in Python for algorithm prototyping, analysis, and tooling.
• Strong understanding of sensor fusion and perception algorithms.
• Experience with object tracking and state estimation techniques.
• Solid knowledge of camera, radar, and LiDAR signal characteristics and limitations.
• Experience implementing algorithms on ADAS / Autonomous Driving ECUs.

Algorithm & Mathematical Background

• Linear algebra, probability, and statistics applied to perception systems.
• Filtering techniques: Kalman Filter, Extended/Unscented KF, Particle Filters.
• Coordinate transformations and sensor calibration concepts.
• Data association and multi-target tracking techniques.

Good-to-Have Skills

• Experience with MATLAB / Simulink for algorithm modelling and validation.
• Exposure to Computer Vision and Machine Learning for perception tasks.
• Experience with ROS and simulation frameworks.
• Knowledge of ISO 26262 (Functional Safety) and ASPICE.
• Experience with performance tuning and optimization on embedded platforms.

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