Fusion Engineer

Job not on LinkedIn

🕒 October 8, 2025

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

TalentXplore

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🎯 Recruiter

📚 Education

Recruitment • Education

TalentXplore is a recruitment and career services firm that connects businesses with qualified candidates and supports jobseekers through sourcing, screening and placement services. The company also partners with NAAC-accredited universities across India to guide and support candidates pursuing online degrees and higher education. TalentXplore emphasizes a 3-tier screening process, uses AI to match skills with roles, and offers consultancy services focused on fast turnaround, integrity, and candidate-employer fit.

📋 Description

• Design and implement sensor fusion algorithms to combine data from multiple sensors (IMU, magnetometer, barometer, GNSS). • Develop robust, physics-aware filtering frameworks (e.g., Kalman, complementary, or particle filters) for accurate motion estimation. • Optimize sensor data pipelines for real-time processing, synchronization, and noise reduction. • Integrate motion inference algorithms into production systems and validate them using real-world datasets. • Collaborate with ML and backend teams to build hybrid (physics + ML) models for advanced motion analytics. • Contribute to simulation and validation tools using ROS or motion-capture systems. • Research and apply state-of-the-art methods in inertial navigation, signal processing, and localization.

🎯 Requirements

• 3–7 years of professional experience in sensor fusion, navigation, or motion tracking (robotics, UAVs, AR/VR). • Strong understanding of kinematics, inertial navigation, and coordinate transformations. • Hands-on experience with Kalman and complementary filters and signal processing techniques. • Proficiency in Python and/or C++, with strong knowledge of scientific libraries such as NumPy, SciPy, and Eigen. • Familiarity with GNSS positioning and barometric altitude estimation. • Strong analytical, problem-solving, and debugging skills.