Sensor Fusion Engineer | Motion, DSP & GPS Analytics

Motion Algorithms Engineer

Location:

Experience:

Job Overview

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

1. Expertise in Motion data analysis - GPS, Accelerometers, Gyroscopes, etc.
2. Expertise in Digital Signal Processing - Filtering on data
3. Expertise in Algo development on Motion data
4. Expertise in Data Architecture design