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Open nowPosted 123 days ago

Technical Specialist – Advanced Engineering

kiddeglobal132 open roles

Where
Hyderabad, Telangana, India
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Your applicationOpen nowTechnical Specialist – Advanced Engineeringkiddeglobal · Hyderabad, Telangana, India

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This job: posted 123 days ago

The posting

About This Role The Researcher will play a critical role in developing innovative, early‑stage (early TRL) technologies that support Kidde’s long‑term leadership in residential fire and life safety. This role focuses on strategic, emerging, and disruptive technologies, contributing foundational research that enables future product platforms. This is a hands‑on, highly technical role ideal for someone who thrives in exploratory research, rapid prototyping, and cross‑disciplinary experimentationKey Responsibilities Research & Technology Exploration

Conduct research on emerging technologies in sensing, electronics, embedded systems, and AI/ML relevant to fire and life safety. Translate research ideas into practical, testable solutions Develop early‑stage prototypes and proof‑of‑concept systems to evaluate feasibility and performance. Explore innovative approaches in optical smoke detection, CO/IAQ sensing, particulate sensing, gas sensing and multi‑modal detection. Analyse experimental data, sensor outputs, and environmental behaviour, interpret results to guide technology maturation. Support progression of technologies through early TRLs by identifying risks, proposing mitigation strategies, and documenting findings.

Collaboration & Technical Contribution

Work closely with engineers, product teams, and subject‑matter experts to align research with future product needs. Contribute technical insights to technology roadmaps and long‑term innovation strategies. Participate in cross‑functional discussions to ensure research outcomes are actionable and relevant to downstream development teams.

Documentation & Knowledge Development

Document research results, experimental methods, prototype designs, and analytical findings. Support intellectual property (IP) development by identifying novel concepts and contributing to invention disclosures.

Required Qualifications Education & Experience

Master’s degree or Ph.D. in Engineering, Computer Science, Physics, or a related technical field. Strong research capabilities with experience in early‑stage technology development. Strong problem-solving skills and ability to work in ambiguous environments 

Technical Skills Advanced AI/ML Expertise

Experience with ML frameworks such as TensorFlow, PyTorch, or scikit‑learn. Ability to design, train, and evaluate models for signal processing, anomaly detection, sensor fusion, and classification. Familiarity with embedded or edge‑AI deployment (TinyML, TensorFlow Lite, Edge Impulse).

Embedded Firmware & Systems Engineering

Proficiency in C/C++, embedded Linux, RTOS, and low‑power microcontroller platforms (ARM Cortex‑M, ESP32, Nordic, etc.). Experience in handling mcu peripherals ADC, DAC, PWM, Timers etc., serial communication protocols I2C, SPI, UART and real‑time data acquisition. Hands‑on experience with sensor (Temperature, GAS, IAQ, Pressure etc.) integration. Knowledge of optics principles, gas sensing (CO, IAQ), particulate sensing, and environment monitoring technologies. Ability to evaluate data driven sensor performance, noise characteristics, calibration methods, and environmental compensation techniques. Proficiency with lab equipment such as oscilloscopes, logic analysers, signal generators, Familiarity with environmental tests and chambers. Ability to design and execute experiments to validate early‑stage concepts

Electronics & Sensing Technologies (moved to Embedded and Systems engineering)

Hands‑on. Sensor Evaluation experience Ability to evaluate data driven sensor performance, noise characteristics, calibration methods, and environmental compensation techniques.

Data Analytics & Signal Processing

Strong skills in Python, MATLAB, or similar tools for data analysis, modelling, and visualization. Experience with filtering, feature extraction, time‑series analysis, and statistical modelling. Ability to design experiments, analyse large datasets, and derive actionable insights. Edge Analytics skillset to bridge gap between IoT/embedded hardware and data science to analyse real time data locally.

Wireless Communication & IoT

Familiarity with BLE, Wi‑Fi, Zigbee, Thread, Matter, sub gig Hz or other low‑power wireless protocols. Understanding of IoT architectures, cloud connectivity, serial communication protocols and device‑to‑device communication.

Prototyping & Lab Skills (moved to Embedded and Systems engineering)

Proficiency with lab equipment such as oscilloscopes, logic analysers, signal generators, and Familiarity with environmental tests and chambers. Ability to design and execute experiments to validate early‑stage concepts

Preferred Qualifications

Experience with fire safety, environmental sensing, or life‑safety technologies. Familiarity with simulation tools, data modelling, or machine learning frameworks. Fimilarity with trending wireless communication technologies and protocols. Experience with IoT ecosystems, wireless communication protocols, and smart home integrations. Ability to translate research findings into actionable engineering recommendations Data analytics and inferencing with particulate matter and aerosols

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