Sensor Fusion Engineer | Motion, DSP & GPS Analytics

Motion Algorithms Engineer Location: Hyderabad Experience: 4–6 years Job Overview We are looking for a highly skilled Sensor Fusion & Motion Algorithms Engineer with deep expertise in Digital Signal Processing (DSP) and real-time sensor data analysis. This role focuses on building advanced algorithms for motion tracking, impact detection, and GPS-based analytics. You will work closely with hardware and firmware teams to design robust, real-time algorithms for IMU and GPS data, and contribute to building scalable data pipelines and analytics infrastructure. Key Responsibilities Design and implement advanced Digital Signal Processing (DSP) algorithms for real-time systems Develop motion analysis and sensor fusion algorithms using: Accelerometers Gyroscopes IMUs and other motion sensors Analyze high-frequency, real-time sensor data for: Noise reduction Signal conditioning Feature extraction Build algorithms for: Motion tracking and activity classification Impact detection, magnitude estimation, and direction analysis Event detection Develop GPS-based algorithms , including: Filtering (Kalman filters, smoothing, outlier rejection) Map matching and trajectory correction Distance, speed, and elevation estimation Implement sensor fusion techniques combining IMU and GPS data Work on real-time and offline data processing pipelines Define and build data architecture for: Data ingestion Storage Retrieval Processing and analytics Collaborate in building dashboards and monitoring tools for: Data quality Signal health Anomaly detection Work closely with firmware and hardware teams to: Ensure algorithm feasibility on embedded systems Optimize performance and power consumption Validate sensor data integrity Required Skills & Qualifications Strong expertise in Digital Signal Processing (DSP) , including: Filtering (low-pass, high-pass, band-pass) Time-series analysis Noise reduction techniques Strong experience with IMU data processing and motion analysis Hands-on experience with sensor fusion algorithms : Complementary filters Kalman filters (EKF/UKF preferred) Experience working with GPS data processing , including filtering and trajectory analysis Strong programming skills in: Python (for prototyping and analysis) C/C++ (for embedded or performance-critical implementations) Experience handling real-time, high-frequency data streams Strong mathematical foundation in: Linear algebra Probability and statistics Signal processing Good understanding of physics (mechanics, motion dynamics) Preferred Qualifications Experience building algorithms for wearables or IoT devices Familiarity with embedded constraints (memory, compute, power) Experience with machine learning for time-series data (optional but valuable) Experience with data pipelines and backend systems (e.g., streaming, batch processing) Familiarity with data visualization tools and dashboarding (Grafana, custom dashboards, etc.) Experience with map matching algorithms and geospatial data processing Prior work on impact biomechanics or safety systems Experience with sports analytics or fitness tracking systems Soft Skills Strong analytical and problem-solving mindset Ability to translate raw sensor data into meaningful insights Good collaboration skills across hardware, firmware, and data teams Strong documentation and communication skills Cross-Functional Collaboration Work closely with Hardware Engineers to understand sensor characteristics and limitations Collaborate with Firmware Engineers to: Optimize algorithms for embedded deployment Ensure real-time performance and efficiency Partner with Data/Backend teams to build scalable analytics pipelines and dashboards Key Priority Requirements Expertise in Motion data analysis - GPS, Accelerometers, Gyroscopes, etc. Expertise in Digital Signal Processing - Filtering on data Expertise in Algo development on Motion data Expertise in Data Architecture design