C++17 Software EngineerFull-time

Mandatory Skills:

• Strong knowledge of C++ (C++17 or higher), STL, OOP, multithreading, templates, and memory management.
• Hands-on experience with NVIDIA CUDA programming and GPU acceleration.
• Experience with at least one NVIDIA toolchain/SDK such as: CUDA Toolkit, TensorRT, cuDNN, cuBLAS, DeepStream, GStreamer (for perception/stream processing), NVIDIA JetPack.
• Understanding of parallel computing, GPU memory models, and real-time constraints.
• Expertise in Linux system programming, CMake, Git, GCC, and cross-compilation.

Preferred Skills:

• Experience with ROS/ROS2, SLAM, localization, sensor fusion, perception, or control algorithms.
• Knowledge of DDS-based communication, real-time middleware, or industrial robotics frameworks.
• Experience in signal processing, streaming analytics, or low-latency compute for communication systems.
• Understanding of network protocols, high-throughput data pipelines, or 5G/edge telecom compute (non-AI inference focus).
• Strong analytical and problem-solving skills.
• Good documentation and communication abilities.
• Ability to work in a collaborative R&D environment.

Roles and Responsibilities:

• Design and optimize high-performance software for Robotics and Telecom systems using C++17.
• GPU-accelerated compute development using CUDA, NVIDIA SDKs, and embedded Jetson platforms for real-time perception, automation, and network data processing workloads.
• Develop and optimize applications using Modern C++ (C++17) for robotics and telecom solutions.
• Implement GPU-accelerated applications using CUDA, TensorRT, NVIDIA SDKs, and Jetson platforms.
• Work with embedded NVIDIA devices (Jetson AGX Orin/Xavier, TX2, Nano) for real-time compute workloads.
• Optimize algorithms for robotics perception, control systems, and telecom data processing.
• Perform performance profiling using NVIDIA tools (Nsight, nvprof, CUDA Profiler).
• Integrate robotic/telecom middleware and distributed communication frameworks.
• Collaborate with cross-functional teams for architecture, testing, deployment, and CI/CD.

Keywords:

C++17 + CUDA + NVIDIA Jetson + Linux + ROS/ROS2 + GPU Acceleration