Sensor Fusion Engineer | Motion, DSP & GPS Analytics

QUINTESSENTIAL INNOVATIONS; Hyderabad; Vor Ort; INR 1.200.000 - 1.700.000; Vollzeit

Zusammenfassung

Keka Technologies Private Limited is seeking a Motion Algorithms Engineer to design and implement DSP-based motion tracking, sensor fusion, and GPS analytics for real-time systems. You will collaborate with hardware and firmware teams to optimize for embedded deployment and scalability.

The role focuses on IMU and GPS data processing, algorithm development, data pipelines, and dashboards for monitoring data quality and anomaly detection.

Qualifikationen

• Proficient in DSP with real-time signal processing.
• Experience with IMU data processing and motion analysis.
• Hands-on sensor fusion algorithms: complementary filters and Kalman filters.
• Experience with GPS data processing and trajectory analysis.
• Strong programming skills in Python and C/C++.
• Experience with high-frequency real-time data streams.
• Solid mathematical foundation: linear algebra, probability, statistics.
• Knowledge of physics and motion dynamics.

Aufgaben

• Design DSP algorithms for real-time systems.
• Develop motion analysis and sensor fusion algorithms for IMU/GPS data.
• Perform signal conditioning and data quality checks.
• Build algorithms for motion tracking, impact detection, and trajectory analysis.
• Implement GPS-based filtering, map matching, and distance estimation.
• Develop sensor fusion techniques and real-time/offline pipelines.
• Define data architecture for ingestion, storage, and analytics.
• Collaborate with hardware/firmware teams for embedded feasibility and optimization.

Kenntnisse

DSP

Sensor fusion

GPS data processing

Python

C/C++

Real-time data

Kalman filters

Linear algebra

Tools

Grafana

Data pipelines

Embedded systems

Jobbeschreibung

4+ Years

Full-Time

Motion Algorithms Engineer

Location:

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
• Signal conditioning
• 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