Job Description: We are seeking a smart, motivated, and collaborative engineer who is passionate about problem-solving and eager to contribute to a meaningful mission. You will be taking full ownership of challenging problems, working alongside a team of enthusiastic engineers to design solutions. Key Qualifications: A minimum of 2 years of experience in full-stack development or equivalent technologies is required. Essential qualifications include: Demonstrated expertise as a Full Stack Developer, encompassing both front-end and back-end paradigms. Advanced proficiency in contemporary front-end frameworks (e.g., React, Angular, Vue.js). Proven experience with back-end technologies, specifically Python or JavaScript. Comprehensive understanding of relational (SQL) and non-relational (NoSQL) database systems. Extensive experience in API integration and a profound comprehension of HTTP(S) protocols and RESTful architectural principles. Familiarity with DevOps methodologies and Continuous Integration/Continuous Deployment (CI/CD) pipelines. Practical experience with microservices architecture. Proficiency in containerization and orchestration technologies (Docker, Kubernetes). Experience in the development and implementation of authorization modules for server-client architectures. Exceptional problem-solving and analytical capabilities. Superior communication and leadership acumen. Nice To Have: Familiarity with multithreading and multiprocessing concepts in Python. Experience with authentication and authorization standards, specifically KeyCloak and JWT. Familiarity with geospatial mapping libraries such as Leaflet or MapLibre. Experience with Geographic Information System (GIS) applications (e.g., GeoServer, QGIS).
The candidate will be responsible for implementing computer vision algorithms on target platforms, optimizing the code for the platform's resources, and managing end-to-end workflow efficiently. The ideal candidate should have a minimum of 3 years of relevant experience and possess knowledge of Processing elements such as Multicore CPU with one or more of DSP, GPGPU, FPGA. Experience in video protocols, input/output video (Ethernet streaming video, USB, MIPI CSI), Serial (RS422/232), GPIO, Ethernet, USB, and video processing on target hardware is highly desirable. If you are a fresh graduate or post-graduate engineer with a passion for technology and a keen interest in cutting-edge research work, Inferigence Quotient LLP welcomes you to join our team. If you are eager to learn and contribute effectively, please send your application to hr@inferq.com.,
Seeking a smart, diligent, and collaborative engineer passionate about solving real-world problems and advancing a meaningful mission in UAV flight testing and integration. Key Qualifications: Deriving the requirements of components from the mission requirements Assessing quality requirements Sourcing the components meeting the requirements and quality criteria Electrical and mechanical integration of the airplane Integration of autopilot, onboard computer, datalink, payload, air pressure probe, radar, lidar, radio altimeter, and other standard sensors and payloads Integration checks and maintenance of logs Preflight checks and maintenance of logs Mission planning and execution monitoring Diagnosis and problem fixing, documenting the case Post-flight analysis and documentation Periodic maintenance and history logging Team coordination: ground crew, pilot, support staff, field personnel Good communication skills for conveying summary to the management and team leads, providing instructions to field personnel Good documentation skills for unambiguous record keeping Understanding of operational constraints and regulations Understanding of GCS functionality Understanding of post-flight analysis tools Good command over standard documentation and reporting packages is desirable Understanding of version control and version management is desirable Problem diagnosis and solving skills will be a huge plus The candidate will get a chance to solve state-of-the-art problems.
We are seeking a highly skilled Qt/QML Engineer to design and develop advanced GUIs for aerospace applications. The role requires working closely with system architects, avionics software engineers, and mission systems experts to create reliable, intuitive, and real-time UI for mission-critical systems such as UAV ground control stations, and cockpit displays. Key Responsibilities Design, develop, and maintain high-performance UI applications using Qt/QML (Qt Quick, QML, C++). Translate system requirements into responsive, interactive, and user-friendly interfaces. Integrate UI components with real-time data streams from avionics systems, UAVs, or mission control software. Collaborate with aerospace engineers to ensure compliance with DO-178C, or MIL-STD guidelines where applicable. Optimise application performance for low-latency visualisation in mission-critical environments. Implement data visualisation (raster and vector maps, telemetry, flight parameters, mission planning overlays). Write clean, testable, and maintainable code while adhering to aerospace software standards. Work with cross-functional teams (system engineers, hardware engineers, test teams) to validate UI against operational requirements. Support debugging, simulation, and testing activities, including hardware-in-the-loop (HIL) setups. Required Qualifications Bachelors / Masters degree in Computer Science, Software Engineering, or related field. 1-3 years of experience in developing Qt/QML-based applications (Qt Quick, QML, Qt Widgets). Strong proficiency in C++ (11/14/17) and object-oriented programming. Experience integrating UI with real-time data sources (TCP/IP, UDP, serial, CAN, DDS, etc.) . Knowledge of multithreading, performance optimisation, and memory management. Familiarity with aerospace/automotive domain software practices or mission-critical systems. Good understanding of UX principles for operator consoles and mission planning systems. Strong problem-solving, debugging, and communication skills. Desirable Skills Experience with GIS/Mapping libraries (OpenSceneGraph, Cesium, Marble, etc.). Knowledge of OpenGL, Vulkan, or 3D visualisation frameworks. Exposure to DO-178C or aerospace software compliance. Familiarity with UAV ground control software (QGroundControl, Mission Planner, etc.) or similar mission systems. Experience with Linux and cross-platform development (Windows/Linux). Scripting knowledge in Python for tooling and automation. Background in defence, aerospace, automotive or embedded systems domain. What We Offer Opportunity to work on cutting-edge aerospace and defence technologies. Collaborative and innovation-driven work culture. Exposure to real-world avionics and mission systems. Growth opportunities in autonomy, AI/ML for aerospace, and avionics UI systems.
You will be responsible for the implementation and testing of advanced computer vision algorithms. This includes dataset search, preparation, annotation, training, testing, and fine-tuning of vision Convolutional Neural Network (CNN) models. Additionally, you will conduct detailed analysis of results to ensure optimal performance. - Implement and test advanced computer vision algorithms - Search, prepare, annotate, train, test, and fine-tune vision CNN models - Perform detailed analysis of results Qualifications Required: - Proficiency in Python - Strong background in Deep Learning and Machine Learning (ML) - Experience with RESTful APIs and Firebase is a plus,
Develop state estimation algos, dynamic real-time path planning solutions. Create and validate flight simulations. Integrate autonomy modules on flight computers and mission systems . Conduct flight trials , performance evaluation, algo optimisation.