Description :
We are hiring for our client based at Hyderabad.
About the Role :
You will define the long-term technical roadmap, set performance benchmarks, architect next-generation algorithms, and mentor the engineering team. You'll work at the intersection of signal processing, physics, and machine learning to build the industry's most accurate and reliable crash detection system.
This role requires deep expertise in IMU-based systems, sensor fusion, and motion analysis, combined with the ability to translate complex physics into practical, production-ready algorithms. You should have a track record of shipping algorithms in real-world products and the vision to push beyond current state-of-the-art.
If you're a technical leader who loves hard motion analysis problems, wants to architect systems that save lives, and thrives on mentoring engineers while driving technical excellence, this is the role for you.
What You'll Do :
- Set the Technical Vision : Define the long-term algorithm roadmap, set performance targets that push the industry forward, and architect the next generation of motion intelligence systems. Your vision guides the team's work for years.
- Architect Sensor Fusion Systems : Design sophisticated multi-sensor fusion algorithms combining IMU, magnetometer, barometer, GPS, and BLE RSSI data. Create holistic understanding of motion, context, and crash dynamics from diverse sensor streams.
- Build Physics-Informed ML Hybrid Models : Develop advanced algorithms that combine classical physics-based models with machine learning approaches. Achieve both explainability and superior performance by leveraging domain knowledge and data-driven techniques.
- Design Validation Methodologies : Create comprehensive test protocols for crash scenarios, riding behaviors, and industrial safety applications. Define how we measure algorithm performance and validate improvements systematically.
- Optimize Firmware-Algorithm Interface : Work with firmware engineers to optimize algorithm implementation for embedded systems. Balance algorithmic sophistication with computational constraints while maintaining performance.
- Lead Field Testing Programs : Design and oversee large-scale field validation campaigns. Analyze thousands of rides, captures, and edge cases to continuously improve algorithm robustness.
- Mentor and Develop Engineers : Provide technical leadership to motion and firmware engineers. Conduct design reviews, guide problem-solving, and accelerate team capability. Build a culture of technical excellence.
- Drive Innovation : Stay at the forefront of motion analysis research, evaluate new techniques, publish findings, and integrate cutting-edge approaches into our platform. Represent Quin technically in the industry.
- Partner Across Functions : Collaborate with product, hardware, ML, and firmware teams to ensure algorithms meet both technical and business requirements. Translate complex technical concepts for non-technical Qualifications :
- Master's or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or related field (or equivalent experience)
- Deep expertise in sensor fusion, Kalman filtering, particle filters, and state estimation techniques
- Strong programming skills in both Python (for research and prototyping) and C/C++ (for embedded deployment)
- Expert knowledge of signal processing : FFT, filtering, spectral analysis, wavelet transforms, and time-frequency methods
- Strong understanding of kinematics, dynamics, rigid body motion, and motion physics
- Proven track record of shipping algorithms in production systems and solving real-world motion analysis problems
- Demonstrated leadership experience mentoring engineers and driving technical to Have :
- Background in crash biomechanics, impact analysis, or safety standards (Snell, DOT, ECE)
- Experience with motion capture systems, gait analysis, or human motion modeling
- Published research in top-tier conferences or journals on motion analysis, sensor fusion, or related topics
- Experience leading technical teams, conducting design reviews, and driving engineering best practices
- Deep knowledge of BLE RSSI-based localization, proximity detection, and wireless sensor networks
- Understanding of safety certification requirements (ISO 26262, IEC 61508) and regulatory processes
- Experience with real-time embedded algorithm optimization and deployment
(ref:hirist.tech)Principal Motion Algorithm Engineer • Hyderabad
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