Autobrains is expanding its engineering team! We are looking for a highly skilled Senior System Software Engineer to join our core R&D efforts and help build cutting-edge AI-based vision systems. This role is ideal for an experienced engineer coming from leading hardware/software companies (such as NVIDIA, Intel, Qualcomm), with strong expertise in real-time systems , edge computing , and system-level optimization . Responsibilities Design and implement real-time software infrastructures to support AI and vision-based workloads. Develop system-level components: resource management, scheduling, IPC, memory optimization, and performance profiling. Work closely with hardware, AI, and system architects to enable efficient and scalable execution of AI models on edge devices. Optimize software performance across heterogeneous computing units (CPU, GPU, NPU, DSP). Contribute to system bring-up, debugging, and optimization on custom SoCs. Stay updated with the latest advances in system software, real-time computing, and AI infrastructure. Requirements B.Sc or M.Sc in Computer Science, Electrical Engineering, or a related field. 5+ years of hands-on experience in SW/System development for real-time, high-performance embedded systems. Strong expertise in C/C++ development; Python knowledge is a plus. Experience with real-time operating systems (RTOS) or real-time Linux environments. Deep understanding of memory management, concurrency, synchronization, and low-level performance optimization. Background in AI model deployment on edge platforms (TensorRT, ONNX runtime) – advantage. Prior experience in system-level development at companies like NVIDIA, Intel, Qualcomm, Broadcom, Marvell, etc. – strong advantage . Strong problem-solving and debugging skills at the system level. #J-18808-Ljbffr BlueSnap, Inc
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