Sensor Fusion Engineer | Motion, DSP & GPS Analytics

Quin; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Quin is seeking a Motion Algorithms Engineer in Hyderabad to develop advanced DSP and real‑time sensor data analytics for motion tracking and GPS-based analytics. You will collaborate with Hardware and Firmware teams to deploy robust algorithms on embedded systems while optimizing power and performance.

The role emphasizes building scalable data pipelines, dashboards for data quality and monitoring, and contributing to analytics infrastructure across GPS/IMU data streams.

Qualifications

• Strong expertise in Digital Signal Processing (DSP) including filtering and time-series analysis.
• Hands-on experience with IMU data processing and motion analysis.
• Experience with sensor fusion algorithms and Kalman filters for real-time data.

Responsibilities

• Design and implement advanced DSP algorithms for real‑time systems.
• Develop motion analysis and sensor fusion for IMUs, accelerometers, gyroscopes and GPS.
• Analyze high‑frequency sensor data for noise reduction and feature extraction.
• Build motion tracking, activity classification and event detection algorithms.

Skills

DSP

IMU processing

Sensor fusion

Kalman filters

Python

C/C++

Real-time data

GPS data

Tools

Embedded C

DSP toolchain

Job description

Job Title

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, and feature extraction
• Build algorithms for motion tracking and activity classification, impact detection, magnitude estimation, direction analysis and 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 and anomaly detection
• Work closely with firmware and hardware teams to ensure algorithm feasibility on embedded systems, optimize performance and power consumption, and 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 and 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) and 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 (streaming, batch processing)
• Familiarity with data visualization tools and dashboarding (Grafana, custom dashboards)
• 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 algorithm development on motion data
• Expertise in data architecture design