Autonomous driving stack: software, hardware accelerators, and simulation tools
aiMotive builds a three-layer autonomous driving platform spanning software (next-gen self-driving stack), hardware (aiware neural network accelerator), and tooling (aisim simulator, calibration pipeline, visualization suite). The team is heavily intern-weighted (21 of 33 open roles) with concentrated hiring in Hungary and Japan, signaling either rapid scaling of foundational work or a talent arbitrage strategy aligned with their distributed offices. Core pain points center on latency-critical inference, sensor calibration precision, and regulatory/export compliance—typical friction for companies shipping hardware + software into automotive supply chains.
aiMotive is an independent autonomous driving technology provider founded in 2015, operating from Budapest with offices in the USA and Japan. The company develops three integrated product lines: a software stack for self-driving and ADAS functionality, a neural network accelerator (aiware), and development tools including a simulator (aisim) and sensor calibration pipeline. The team leverages expertise in AI, computer vision, sensor fusion, and hardware acceleration (ASIC/FPGA design) to address real-world deployment challenges in safety-critical automotive environments. Current focus includes next-generation vehicle self-driving software, low-latency inference optimization, and expanding ADAS feature sets.
Core languages: Python, C++, C. ML frameworks: PyTorch, TensorFlow. Infrastructure: Linux, Docker, Kubernetes, Jenkins. Hardware design: Verilog, VHDL, SystemVerilog, ASIC, FPGA. Visualization and CAD: Figma, MicroStation, QGIS, CloudCompare. Currently adopting deeper C++ specialization.
Next-generation self-driving software, aiware neural network accelerator hardware, aisim simulator and release testing, sensor calibration and diagnostic tools, web-based 2D/3D visualization, automated testing pipelines, and advanced voice features for premium vehicle categories.
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