Key Responsibilities (100% Hands-On):

- Multithreaded Pipeline Development: Design and implement thread-safe data processing pipelines to handle high-rate sensor streams (video frames and RF IQ data) concurrently without blocking critical execution paths.

- Algorithm Parallelization & Porting: Translate computer vision workflows (OpenCV) and digital signal processing (DSP) logic into efficient, production-ready C++ code, utilizing multi-core processor architectures to maximize throughput.

- Real-Time Data Processing: Optimize modules responsible for the ingestion, synchronization, and manipulation of live telemetry from optical sensors (EO/IR cameras) and RF payloads (SDRs) using efficient memory buffers.

- Concurrency Management: Write clean code utilizing modern C++ concurrency primitives to prevent race conditions, deadlocks, and thread-contention bottlenecks.

- Hardware Offloading: Assist in optimizing tasks leveraging SIMD vectorization (ARM NEON, AVX) and utilize deployment tools like TensorRT or OpenCL under the guidance of senior engineers.

- Profiling & Debugging: Regularly profile multi-threaded modules to detect, isolate, and fix memory leaks, execution bottlenecks, thread sync latencies, and CPU/GPU usage spikes.

Required Skills & Qualifications :

- Education: Bachelor's degree in Computer Science, Embedded Systems, Electrical/Aerospace Engineering, or a related technical field.

- Experience: 5 - 8 years of professional experience writing production-grade C++.

- Multithreading & Concurrency: Solid practical understanding of multithreading concepts, including std::thread, mutexes, locks, condition variables, atomic operations, and building/using thread-safe queues.

- Core C++: Strong working proficiency in Modern C++ (C++14/17), with a solid grasp of pointers, references, smart pointers, RAII, memory management, and the STL.

- Computer Vision Foundations: Practical, hands-on experience using OpenCV for image processing tasks.

- Linux & Build Tools: Comfortable developing in a Linux/Embedded Linux environment and writing/modifying CMake scripts for cross-compilation toolchains.

- Debugging Tools: Familiarity with standard profiling and debugging tools (e.g., GDB, Valgrind, ThreadSanitizer, perf).

- Python: Programming and algorithm implementation knowledge.

Preferred / Bonus Skills :

- Experience with parallel processing libraries such as OpenMP or Intel TBB.

- Exposure to Real-Time Operating Systems (RTOS like FreeRTOS, Zephyr, or VxWorks) and deterministic scheduling.

- Basic understanding of RF data (IQ signals) or digital signal processing (FFTs, filters).

- Knowledge of video frameworks and streaming pipelines (e.g., GStreamer, FFmpeg).

- Security Clearance: Ability to obtain or maintain a government security clearance is highly desirable.

- Understanding Object-Oriented Programming (OOPs) concepts and software design patterns.

- Basic knowledge of data structures and problem-solving.