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Sensor Fusion and Autonomous Navigation @ Kpr sugar apperals

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 Sensor Fusion and Autonomous Navigation

Job Description

    Sensor Fusion and Autonomous Navigation Engineer Role Description We are seeking a highly skilled and motivated Sensor Fusion and Autonomous Navigation Engineer to join our dynamic team. In this role, you will be responsible for developing and implementing advanced sensor fusion algorithms and navigation systems for our autonomous vehicle technology. The ideal candidate will have a strong background in robotics, machine learning, and control systems, with a focus on integrating data from multiple sensors to create a comprehensive understanding of the vehicles environment and enabling reliable autonomous navigation. Key Responsibilities Sensor Fusion: Develop and implement sensor fusion algorithms that combine data from Lidar, Radar, cameras, GPS, and other sensors. Design and optimize data processing pipelines to ensure real-time performance and accuracy. Calibrate and integrate multiple sensors to create a unified perception framework. Perform sensor data analysis and validation to ensure robustness and reliability. Collaborate with hardware engineers to select and configure sensors for optimal performance. Autonomous Navigation: Develop and refine algorithms for path planning, localization, and mapping. Implement and test navigation strategies in simulation environments and real-world scenarios. Integrate navigation algorithms with the overall autonomous vehicle control system. Work on simultaneous localization and mapping (SLAM) techniques to improve vehicle localization. Optimise path planning algorithms for safety, efficiency, and compliance with traffic rules. Technical skills Proficiency in programming languages such as C++, Python, and MATLAB. Strong understanding of machine learning and computer vision techniques. Experience with ROS (Robot Operating System) or similar robotics frameworks. Familiarity with SLAM, Kalman filters, particle filters, and other state estimation techniques. Knowledge of control theory and kinematic modeling of vehicles. Qualifications Bachelors or Masters degree in Robotics, Computer Science, Electrical Engineering, or a related field. A Ph.D. is a plus. Proven experience (7+ years) in developing sensor fusion and navigation algorithms for autonomous systems. Hands-on experience with Lidar, Radar, camera systems, and GPS integration. Experience in working with robotic systems and real-time data processing. Benefit highlights: Competitive compensation package Performance based increments in addition to annual appraisal Comprehensive health insurance coverage upto 25L Wellness programs Exceptional Reward and Recognition programs Learning and development programs Employee assistance program and mentorship. Education: Bachelors or Masters degree in Robotics, Computer Science, Electrical Engineering, or a related field. A Ph.D. is a plus. Experience: 7+ years Role: Sensor Fusion and Autonomous Navigation Engineer Department: Autonomous Vehicle ,AI and Robotics Location: Kochi, Bangalore, Delaware We hope that youre a great candidate for this position and look forward to speaking with you.,

Employement Category:

Employement Type: Full time
Industry: Engineering / Construction
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Sensor Fusion and Autonomous Navigation

Contact Details:

Company: RoshAi
Location(s): Other Karnataka

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Keyskills:   Sensor Fusion Robotics Machine Learning Data Processing Path Planning Localization Mapping SLAM Particle Filters C Python MATLAB ROS State Estimation Control Systems

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