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Inferigence Quotient
Inferigence Quotient cover picture
Inferigence Quotient logo

Inferigence Quotient

https://inferq.com
Founded :
2017
Type :
Products & Services
Size :
20-100
Stage :
Bootstrapped

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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Dr Neeta Trivedi

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Jobs at Inferigence Quotient

Inferigence Quotient
at Inferigence Quotient
1 recruiter
Neeta Trivedi
Posted by Neeta Trivedi
Bengaluru (Bangalore)
2 - 3 yrs
₹6L - ₹12L / yr
skill iconPython
skill iconDeep Learning
skill iconMachine Learning (ML)
skill iconC++
CUDA
+11 more

AI based systems design and development, entire pipeline from image/ video ingest, metadata ingest, processing, encoding, transmitting.


Implementation and testing of advanced computer vision algorithms.

Dataset search, preparation, annotation, training, testing, fine tuning of vision CNN models. Multimodal AI, LLMs, hardware deployment, explainability.


Detailed analysis of results. Documentation, version control, client support, upgrades.

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Inferigence Quotient
at Inferigence Quotient
1 recruiter
Neeta Trivedi
Posted by Neeta Trivedi
Bengaluru (Bangalore), Mumbai, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Pune, Hyderabad
1 - 2 yrs
₹6L - ₹12L / yr
QML
Qt
skill iconC++
skill iconPython

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

  • Bachelor’s / Master’s 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.
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