Guidance and Navigation Engineer at Inferigence Quotient · Bengaluru (Bangalore) · 1 - 3 years · Bootstrapped · Posted 20 Oct 2026
Position: Guidance & Navigation Engineer
Experience: 1–3 Years
Location: Bengaluru, Karnataka
Employment Type: Full-time
About the Role
We are seeking a highly motivated Guidance and Navigation Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating state estimation, navigation, and guidance algorithms for autonomous UAVs operating in both GNSS-available and GNSS-denied environments.
The ideal candidate should have a strong foundation in estimation theory, sensor fusion, and navigation algorithms, along with hands-on experience in implementing these algorithms on embedded or real-time systems.
Key Responsibilities
- Design, develop, and optimise navigation and guidance algorithms for UAVs.
- Develop state estimation algorithms using IMU, GNSS, magnetometer, barometer, cameras, LiDAR, radar, and other onboard sensors.
- Design and implement estimation filters such as: EKF, UKF, Point-mass Filter
- Develop sensor fusion algorithms for robust localisation under degraded or denied GNSS conditions.
- Work on inertial navigation, dead reckoning, visual-inertial odometry (VIO), visual odometry (VO), and multi-sensor navigation systems.
- Develop guidance algorithms for waypoint navigation, path following, trajectory generation, and autonomous mission execution.
- Perform simulation, algorithm validation, and performance analysis using MATLAB/Simulink, Python, or C++.
- Analyse flight logs and sensor data to improve navigation accuracy and system robustness.
- Integrate navigation software with autopilots, embedded processors, and avionics systems.
- Support hardware-in-the-loop (HIL), software-in-the-loop (SIL), and field flight testing.
- Work closely with perception, controls, embedded software, and systems engineering teams.
Required Qualifications
- B.E./B.Tech/M.E./M.Tech in Aerospace Engineering, Robotics, Electronics, Electrical Engineering, Computer Science, Mechatronics, or a related discipline.
- 1–3 years of experience in navigation, estimation, robotics, autonomous systems, or UAV development.
- Strong understanding of: Linear Algebra, Probability and Statistics, Estimation Theory, Kinematics, Coordinate Systems, Control Systems,
- Experience developing estimation filters, especially EKF or UKF.
- Good understanding of IMU error modelling and inertial navigation.
- Experience with Camera, IMU Calibration and Synchronisation
- Experience with multi-sensor fusion.
- Strong programming skills in C++ and Python.
- Experience with MATLAB/Simulink for algorithm development and validation.
- Familiarity with Linux development environments.
- Experience with Git version control.
Preferred Skills
- Experience with Visual-Inertial Odometry (VIO), Visual Odometry (VO), or SLAM with loop closure techniques
- Knowledge of factor graph optimisation (GTSAM, Ceres Solver, g2o, etc.).
- Experience with ROS/ROS2.
- Familiarity with PX4 or ArduPilot.
- Experience working with embedded Linux or ARM-based processors.
- Understanding of UAV flight dynamics and autopilot architectures.
- Experience with flight data analysis and debugging.
- Exposure to airborne software development processes and coding standards (e.g., MISRA C++).
Personal Attributes
- Strong analytical and problem-solving skills.
- Ability to work independently on challenging technical problems.
- Good communication and documentation skills.
- Passion for robotics, autonomous systems, and aerospace technologies.
- Willingness to participate in field trials and flight testing.
This role offers the opportunity to work on cutting-edge UAV autonomy technologies from algorithm development through real-world flight validation.

About Inferigence Quotient
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Position: Computer Vision Engineer
Experience: 2–3 Years
Location: Bengaluru, Karnataka
Employment Type: Full-time
About the Role
We are seeking a highly motivated Computer Vision Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating computer vision models and algorithms and pipelines for UAVs operating in both GNSS-available and GNSS-denied environments.
The ideal candidate should have a strong foundation in theory of deep learning and machine learning, strong understanding of electromagnetic spectrum, imaging fundamentals, camera principles, and mathematical concepts with hands-on experience in implementing these algorithms on embedded or real-time systems.
Key Responsibilities
- Design, develop, and optimise AI Models
- Make custom CNNs/ modify existing CNNs to suit specific problems at hand
- Handle end-to-end training flow
- Implement end to end inference pipelines on standard PCs as well as on embedded systems
- Understand performance benchmarks and assess the accuracy and inference times
- Implement traditional image processing algorithms
- Factor the code to leverage underlying hardware architecture
- Prune the networks for efficiency
- Integrate the system within the application framework using C++
- Work closely with perception, controls, embedded software, and systems engineering teams.
Required Qualifications
- B.E./B.Tech/M.E./M.Tech in Computer Science and Engineering, Electronics, ECE, Mechatronics, or a related discipline.
- 2–3 years of experience in relevant area
- Strong understanding of: Linear Algebra, Probability and Statistics, AI-ML-DL fundamentals, Image processing, Camera Functioning
- Strong programming skills in C++ and Python.
- Experience with MATLAB for algorithm development and validation.
- Familiarity with Linux development environments.
- Experience with Git version control.
Preferred Skills
- Experience with Camera, IMU Calibration and Synchronisation
- Experience with multi-sensor fusion.
- Experience working with NVIDIA devices
- Experience on FPGA will be an added advantage
- Full understanding of Git functionality
- Exposure to airborne software development processes and coding standards (e.g., MISRA C++).
Personal Attributes
- Strong analytical and problem-solving skills.
- Ability to work independently on challenging technical problems.
- Good communication and documentation skills.
- Passion for solving challenging problems
- Willingness to participate in field trials and flight testing.
- Team player
Job Responsibilities:
We are seeking a highly skilled and motivated Robotics Engineers with a strong focus
on ROS2 development to join our dynamic team. As a Robotics Engineer, you will be
responsible for designing, developing, and implementing advanced robotic systems and
applications using the Robot Operating System 2 (ROS2). You need to develop the
behavioral and control systems, including planning and navigation needed for
autonomous robots. This role requires a deep understanding of robotic software
architecture, proficiency in ROS2, and experience with hardware integration and real
time systems and expertise in URDF (Unified Robot Description Format).
Key Responsibilities :
Design and Development:
Develop robust and scalable robotic applications using ROS2. Implement
software for various robotic systems, ensuring high performance and reliability.
Hand-on with developing ROS2 nodes, Services/Clients, Publishers/Subscriber.
Lead and develop path/motion planning algorithms that include route planning,
trajectory optimization, decision making, and open space planning. Good
understandings of Robot dynamics, kinematics and modeling.
System Integration :
Integrate sensors, actuators, and other hardware components with robotic
systems. Ensure seamless communication between hardware and software
layers. Experienced on integration with perception sensors such as IMU, GPS,
Stereo Cameras, Lidar, Radar, and various other sensors.
URDF Modeling :
Create and maintain accurate URDF models for robotic systems. Ensure models
accurately represent the physical configuration and kinematics of the robots.
Algorithm Implementation :
Implement and optimize algorithms for perception, localization, mapping,
navigation, and control.
Simulation and Testing :
Utilize simulation tools to test and validate robotic systems in virtual
environments like Gazebo, Rviz2 and Unity.
Perform rigorous testing in real-world scenarios to ensure system robustness.
Documentation : Create and maintain comprehensive documentation for system architecture,
design decisions, algorithms, and user guides.
Research and Development :
Stay updated with the latest advancements in robotics and ROS2, and URDF.
Contribute to the continuous improvement of development processes and tools.
All candidates must have at least a Bachelor’s degree in a related field(Computer
Engineering, Electronics/Electrical Engineering, Electronics and Communication
Engineering, Robotics or similar).
Advanced degrees are a plus.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Role: Software Developer
Employment Type: Full Time
Location: Gurugram, India
Educational Qualification: BE/BTech/ M.Tech / MS in Software Engineer
Work Experience: 6-8+ years of relevant work experience
Role Description:
Design and develop software for satellite systems, including onboard flight software and ground segment applications, ensuring reliability and real-time performance. Collaborate with hardware, AOCS, and mission teams to implement, test, and integrate software across the mission lifecycle. Support verification, validation, and in-orbit operations for robust and mission-critical performance.
Responsibilities & Duties:
- Design, develop, and maintain onboard flight software (FSW) and ground segment applications for satellite missions
- Develop real-time, embedded software for spacecraft subsystems (AOCS, EPS, payload, communication)
- Implement software in languages such as C/C++, Python, and embedded C for high-reliability systems
- Design software architecture, modules, and interfaces aligned with system requirements and mission objectives
- Develop drivers and low-level firmware for hardware interfaces (SPI, I2C, UART, CAN, SpaceWire, Ethernet)
- Work with real-time operating systems (RTOS) such as FreeRTOS or equivalent
- Implement communication protocols for telemetry, telecommand, and data handling
- Collaborate with hardware, AOCS, RF, and systems teams for seamless hardware-software integration
- Develop simulation tools, test scripts, and automation frameworks using Python or MATLAB
- Perform software verification and validation (V&V), including unit testing, integration testing, and system testing
- Develop and execute Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) test environments
- Perform code reviews, static analysis, and debugging to ensure reliability and performance
- Optimize software for real-time performance, memory usage, and fault tolerance
- Implement fault detection, isolation, and recovery mechanisms
- Support integration, system testing, and environmental testing (EMI/EMC, thermal vacuum, vibration)
- Develop and maintain technical documentation (design documents, interface control documents, test reports)
- Participate in design reviews (SRR, PDR, CDR, TRR) and technical discussions
- Support launch operations, commissioning, and in-orbit software updates and anomaly resolution
- Utilize version control and collaboration tools such as Git
- Work within structured development processes (Agile/Waterfall/Sprint) and configuration management systems
- Troubleshoot software and system-level issues and perform root cause analysis
Desirable Skills & Certifications:
- Strong proficiency in C/C++ and Python for embedded and system-level software development
- Experience with real-time operating systems such as FreeRTOS or equivalent RTOS platforms
- Familiarity with spacecraft communication protocols (UART, SPI, I2C, CAN, SpaceWire, Ethernet) and telemetry/telecommand systems
- Experience in Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and simulation-based verification
- Knowledge of space software standards and practices (ECSS, NASA, ISRO, MISRA C guidelines)
- Proficiency in version control and development workflows using Git and CI/CD practices
- Understanding of embedded systems, firmware development, and hardware-software integration







