Mechatronics Engineer at Inferigence Quotient · Bengaluru (Bangalore) · 2 - 4 years · ₹10L - ₹18L / yr · Bootstrapped · Posted 21 Sep 2026
C++
GitJob Description – Mechatronics Engineer
Position
Mechatronics Engineer
Experience
2 years
Location
Bengaluru, India
About the Role
We are looking for a hands-on Mechatronics Engineer with approximately 2 years of experience to work on the development and integration of intelligent electro-mechanical systems.
The role involves a combination of electronics system assembly and testing, sensors and actuators, control algorithms, estimation algorithms, embedded implementation, system configuration, and hardware-software integration. The ideal candidate should be comfortable working across the boundary between mechanical, electrical, embedded software, and algorithms.
Key Responsibilities
1. System Assembly & Integration
- Assemble and integrate electro-mechanical systems, sensors, actuators, embedded computers, controllers, and associated electronics.
- Perform wiring, connection, sensor installation, and basic electrical integration.
- Support integration of cameras, IMUs, GNSS, encoders, motors, servos, and other sensors/actuators.
- Configure systems for laboratory, ground, and flight testing.
- Troubleshoot hardware, electrical, communication, and integration issues.
2. Electronics Testing & Validation
- Develop and execute test procedures for electronic and mechatronic subsystems.
- Perform functional testing, sensor validation, actuator testing, and system-level testing.
- Use laboratory equipment such as oscilloscopes, multimeters, power supplies, electronic loads, and logic analysers.
- Analyse test data and identify hardware, firmware, sensor, or integration issues.
- Maintain test records, test reports, and issue/defect logs.
3. Control & Estimation Algorithms
- Implement and integrate control algorithms for electro-mechanical systems.
- Work with PID, state-space, feedback control, actuator control, and related control techniques.
- Implement estimation algorithms such as complementary filters, Kalman filters, EKF/UKF, or sensor fusion algorithms.
- Perform sensor calibration, parameter estimation, filtering, and system identification.
- Tune control and estimation parameters based on laboratory and flight-test data.
4. Embedded Implementation
- Implement algorithms on embedded processors and real-time computing platforms.
- Interface sensors and actuators using protocols such as UART, SPI, I²C, CAN, RS-232/485, Ethernet, etc.
- Develop or modify embedded C/C++ code for system integration.
- Debug hardware-software interaction and real-time issues.
- Support optimisation and deployment of algorithms on resource-constrained embedded systems.
5. Configuration & Version Management
- Maintain configuration of hardware, firmware, software, sensors, and system parameters.
- Maintain configuration-controlled parameter files, calibration data, firmware versions, and test configurations.
- Use Git or equivalent version-control systems for software and configuration management.
- Maintain proper traceability between hardware configuration, software version, test results, and system performance.
- Support controlled release of system configurations for testing and demonstrations.
6. System Testing & Field Trials
- Participate in system-level integration, laboratory testing, HIL/SIL testing, and field/flight trials.
- Prepare test setups and test cases based on system requirements.
- Collect and analyse telemetry, sensor, actuator, and performance data.
- Diagnose failures during integration and testing and work with the engineering team to resolve them.
- Support verification and validation activities for production-grade systems.
Required Skills
- B.E./B.Tech/M.Tech in Mechatronics, Electronics, Electrical, Instrumentation, Mechanical Engineering, or a related discipline.
- Approximately 2 years of relevant industry/project experience.
- Strong hands-on experience with electronics system assembly, integration, and testing.
- Understanding of sensors, actuators, motors, servos, and embedded systems.
- Good understanding of control systems and estimation/filtering techniques.
- Experience implementing algorithms in C/C++ and/or Python.
- Familiarity with microcontrollers, embedded processors, and real-time systems.
- Working knowledge of communication protocols such as CAN, UART, SPI, I²C and Ethernet.
- Experience using laboratory test equipment such as oscilloscopes and multimeters.
- Familiarity with Git and configuration/version management.
- Ability to read schematics, datasheets, interface specifications, and technical documentation.
- Strong debugging and problem-solving skills.
- Willingness to work hands-on with hardware and participate in field/flight testing.
Good to Have
- Experience with UAVs, robotics, autonomous systems, gimbals, or avionics.
- Experience with IMU, GNSS, magnetometer, barometer, encoder, camera, or other navigation sensors.
- Experience with EKF/UKF, sensor fusion, visual-inertial estimation, or inertial navigation.
- Familiarity with MATLAB/Simulink.
- Experience with PX4, ArduPilot, ROS/ROS2, or similar platforms.
- Experience with HIL/SIL testing.
- Basic understanding of real-time operating systems.
- Experience with hardware bring-up and PCB-level debugging.
- Familiarity with engineering standards, configuration management, and structured V&V processes.
Desired Attributes
- Hands-on engineer who enjoys working with both hardware and software.
- Comfortable moving between mechanical assembly, electronics, algorithms, and embedded implementation.
- Strong debugging mindset with an ability to systematically isolate problems.
- Good understanding of engineering fundamentals rather than dependence on pre-built libraries or tools.
- Able to work independently on assigned modules while collaborating closely with multidisciplinary teams.
- Comfortable working in a fast-paced R&D environment involving prototyping, testing, iteration, and field trials.
- Strong documentation and communication skills.
Typical Technology Environment
Sensors & Actuators: IMU, GNSS, magnetometer, encoders, cameras, motors, servos
Embedded: Microcontrollers, ARM processors, embedded Linux/RTOS
Algorithms: PID, state estimation, Kalman filtering, sensor fusion, system identification
Programming: C/C++, Python, MATLAB/Simulink
Testing: Oscilloscope, logic analyser, multimeter, power supply, HIL/SIL
This is a hands-on R&D engineering role suited for an engineer who wants to work on complete intelligent systems rather than a narrowly defined mechanical or electronics function. The engineer will contribute across assembly → integration → algorithm implementation → configuration → testing → debugging → field validation, with particular emphasis on UAV and autonomous-system applications.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Inferigence Quotient
About
Deep Tech Startup Focusing on Autonomy and Intelligence for Unmanned Systems. Guidance and Navigation, AI-ML, Computer Vision, Information Fusion, LLMs, Generative AI, Remote Sensing
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Trade
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon