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