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
