Controls Engineer (MPC)

We are seeking a highly skilled Qt/QML Engineer to design and develop advanced GUIs and networking modules for UAV Ground Control Stations and Cockpit Displays. The role requires working closely with UI designers, avionics software engineers, and mission systems experts to create reliable, intuitive, and real-time GCS components for mission-critical systems.

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.
• Generate data scheduling schemes, encode data packets as per required protocols and data rates and transmit to drone(s) as per protocol
• Decode incoming data streams as per the protocols, extract data, store, and populate corresponding UI elements.
• Integrate UI and networking components with real-time data streams from avionics systems, UAVs, or mission control software.
• Collaborate with engineers to ensure compliance with DO-178C, or MIL-STD guidelines where applicable.
• Optimise application performance for low-latency visualisation and data transmission 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, QTcpSockets, QtUdpSockets).
• 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.

Key Responsibilities

1. Kernel Lifecycle & Maintenance

Upstream Alignment: Lead the strategy for upgrading enterprise kernels (e.g., migrating from LTS 5.15 to 6.6) while maintaining binary compatibility where required.

Patch Porting: Expertly port functional and performance patches between disparate kernel versions, resolving complex code conflicts and API changes.

CVE Mitigation: Monitor the Linux Kernel Mailing List (LKML) and security advisories to identify and backport CVE patches from upstream to production environments.

2. Deep-Dive Debugging & Stability

Panic Analysis: Act as the final escalation point for Kernel Panics and "Oops" messages. Utilize kdump, crash, and gdb to perform post-mortem analysis of vmcores.

Boot-Time Resolution: Debug critical failures during the early boot process (UEFI handoff, initramfs, and early kernel init) where standard logging is unavailable.

Performance Tuning: Use ebpf, ftrace, and perf to identify bottlenecks in memory management, scheduler latency, or I/O throughput.

3. Driver Development & Hardware Integration

Driver Ownership: Design, develop, or maintain at least one Open Source or Proprietary Device Driver (Network, Storage, GPU, or Character devices).

Hardware Abstraction: Interface directly with hardware registers, managing DMA mappings, and optimizing interrupt handling (MSI-X, Threaded IRQs).

Out-of-Tree Management: Maintain driver compatibility across kernel updates using DKMS or similar frameworks.

4. Infrastructure & Automation

Registry Management: Oversee the distribution of custom kernel builds and modules via GitLab Container/Package Registries.

CI/CD for Kernel: Build automated testing pipelines (Hardware-in-the-loop) to validate kernel stability before enterprise-wide deployment.

Required Technical Skills:

Languages: Mastery of C/C++ Programming (C is preferred)

Kernel Internals: Deep understanding of VFS, Memory Management (MMU/Paging), Process Scheduling, and Networking Stacks.

Debugging Tools: Expert-level use of kprobes, trace-cmd, valgrind, and hardware-level debuggers (JTAG/Serial Console).

Build Systems: Proficiency with Kbuild, Makefiles, and building RPM/Debian packages for kernel distribution.

Security: Hands-on experience with SELinux/AppArmor policy development and kernel hardening (FIPS, KSPP).

Candidate should have 6-9 years of experience in IoT embedded systems. He/ She should be

passionate, tech savvy, academically sound, have interest in embedded devices and

technologies.

Experience:

• Exposure to Microcontroller/Microprocessor Architecture /Family e.g. ARM Cortex,

Microchip, Xtensa ESP32, TI CC32XX, STM32

• Knowledge of Bare metal and any RTOS (Free RTOS, uC OS, EmbOSs, VxWorks, QNX)

• Knowledge of Microcontroller peripherals and low level drivers e.g. ADC, DAC, I2C, SPI,

UART, CAN, RS485, DMA, Ethernet, Display

• Knowledge of networking concepts like OSI layers, embedded TCP/IP stacks and common

IP protocols

• Knowledge of RF protocols WIFI, Bluetooth/BLE, IoT Cellular

• Knowledge of IoT communication protocols MQTT, COAP, AMQP

• Knowledge of Build toolchains and framework such as IAR, GCC, Keil, Mplab

• DFMA and DFMEA, Design release process

• Coding standards, guidelines and compliance tools

• Version control and repositories using git tools

• Software quality assurance and automated testing tools Experience / Skills Embedded software design cycle

• Documenting Software Design (flow charts, state diagram, logic design, analysis, implementation, debugging and testing etc)

• Good hands-on programming in Embedded C, C++.

• Programming in scripting languages such as batch, shell, python is a plus.

• Experience with AWS/Google cloud for device connectivity. Exposure to IoT cloud services. e.g. AWS IoT

• Software and Hardware integration testing and troubleshooting

• Protocol debugging using protocol analyzer.

• Understanding of Schematic/ Hardware design around microcontrollers like ST, TI, Atmel, Microchip, ARM core

Strong programming (Java, C/C++) and troubleshooting skill

Experience on Android telephony, connectivity framework

RIL 

Familiarity and support of PTCRB/GCF certification process.

Knowledge a cellular test equipment and network IOT

IMS/Volte/SMS over IMS/Video calling and SIP signaling – Desired

Knowledge of QUALCOMM tools, QXDM, QRCT, ER & Analysis of logs.

Preferred - knowledge on 3GPP specs and GSM/GPRS/EGPRS/WCDMA/UMTS/LTE/TD-SCDMA standards

Relevant experience: 2-3 years

Responsibilities:

1. Should be good at, C, C++, Linux driver development
2. Should have worked in protocol like i2S, SPI, i2C. rf, 6lowpan, Tcp / Ip stack etc..
3. Experience in porting MbedOS , FreeRTOS to different boards is good.
4. Analyzing and enhancing efficiency, stability and scalability of system resources
5. Design, develop, code, test and debug system software
6. Provide post production support
7. Interface with hardware design and development

Requirements:

1. Proven working experience in software engineering
2. Experience in hands-on development and troubleshooting on embedded targets
3. Solid programming experience in C or C++
4. Adequate knowledge of reading schematics and data sheets for components
5. Strong documentation and writing skills

Note: Self-motivated, goal oriented and good analytical skills.