PRINCIPAL MOTION ALGORITHM ENGINEER

Location: Hyderabad

Department: Engineering

Experience: 6+

About Quin

Why Quin?

• Define the Future of Motion Intelligence: This isn't an execution role, it's a leadership position where you'll set the technical vision for Quin's core algorithms. Your architectural decisions will guide the company for years to come.
• Solve Genuinely Hard Problems: Real-time crash detection from noisy IMU signals. Distinguishing true crashes from false positives. Sensor fusion across multiple modalities. Physics-informed ML models. These are fundamental, challenging problems at the frontier of motion analysis.
• Lead with Impact: You'll mentor engineers, drive technical strategy, and see your algorithms protecting riders worldwide. Your work sets the competitive advantage that makes Quin the leader in smart safety.
• Shape Product Direction: Work directly with founders and product leaders to define what we build next. Your technical expertise directly influences company strategy and product roadmap.

Mission

About the Role

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 stakeholders.

Basic Qualifications

• 6–10 years of professional experience in motion algorithms, IMU-based systems, robotics, or related fields
• 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 strategy

Good to Have

• Experience in automotive safety systems, industrial safety, sports technology, or helmet/impact sensing
• 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

Why You'll Love Working Here

• Technical Leadership: Set the direction. Architect systems. Make decisions that matter. This is genuine technical leadership, not management.
• Hard Problems: Work on algorithm challenges at the frontier of motion intelligence. Publish-worthy problems that push the state of the art.
• Massive Impact: Your algorithms are the core competitive advantage. When Quin detects crashes better than anyone else, it's because of your work.
• Mentor and Build: Develop engineers, elevate team capabilities, and build an engineering culture you're proud of.
• See Global Impact: Watch your algorithms protecting riders across the US, Europe, and beyond. See crash detection saves, emergency responses, and lives protected.
• Work with Experts: Collaborate with world-class hardware, firmware, ML, and product teams who share your commitment to excellence.
• Shape Strategy: Your technical vision directly influences company direction, product roadmap, and strategic decisions.

Your Impact