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 :

a. Accelerometers

b. Gyroscopes

c. IMUs and other motion sensors

- Analyze high-frequency, real-time sensor data for :

a. Noise reduction

b. Signal conditioning

c. Feature extraction

- Build algorithms for :

a. Motion tracking and activity classification

b. Impact detection, magnitude estimation, and direction analysis

c. Event detection

- Develop GPS-based algorithms, including :

a. Filtering (Kalman filters, smoothing, outlier rejection)

b. Map matching and trajectory correction

c. 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 :

a. Data ingestion

b. Storage

c. Retrieval

d. Processing and analytics

- Collaborate in building dashboards and monitoring tools for :

a. Data quality

b. Signal health

c. Anomaly detection

- Work closely with firmware and hardware teams to :

a. Ensure algorithm feasibility on embedded systems

b. Optimize performance and power consumption

c. Validate sensor data integrity

Required Skills & Qualifications :

- Strong expertise in Digital Signal Processing (DSP), including :

a. Filtering (low-pass, high-pass, band-pass)

b. Time-series analysis

c. Noise reduction techniques

- Strong experience with IMU data processing and motion analysis

- Hands-on experience with sensor fusion algorithms :

a. Complementary filters

b. Kalman filters (EKF/UKF preferred)

- Experience working with GPS data processing, including filtering and trajectory analysis

- Strong programming skills in :

a. Python (for prototyping and analysis)

b. C/C++ (for embedded or performance-critical implementations)

- Experience handling real-time, high-frequency data streams

- Strong mathematical foundation in :

a. Linear algebra

b. Probability and statistics

c. 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