SiMa.ai designs its own ML system-on-chip and the software around it, targeting Physical AI in robotics, automotive and drones. The stack spans chip design (SystemVerilog, UVM, Synopsys, LPDDR5) through embedded runtime (Yocto, QNX, ONNX Runtime) to robotics tooling (ROS 2, Isaac Sim, PX4), showing full vertical ownership from silicon to autonomy. Hiring is almost entirely senior and principal engineering, focused on hardware bring-up and next-gen SoC architecture.
SiMa.ai is a privately held company founded in 2018 and headquartered in San Jose, California, with 201–500 employees. It builds an MLSoC product line combining custom silicon with a software development kit for running machine learning and computer vision workloads at the edge. Target markets include robotics, automotive, drones, industrial automation, aerospace and defense, smart vision and healthcare. Engineering work covers chip verification, board design and test, embedded Linux and real-time operating systems, and perception and navigation software. The company hires in the United States and India.
SiMa.ai uses SystemVerilog, UVM, Synopsys and Verilog for chip design, C++ and Python for software, PyTorch, TensorFlow and ONNX Runtime for ML, and Yocto, QNX, ROS 2 and PX4 for embedded and robotics work.
Active projects include MLSoC verification methodology, DDR bring-up on MLSoC silicon, an SDK for the MLSoC product line, SLAM-based perception and navigation, and a GPS-denied navigation stack.
SiMa.ai hires in the United States and India, with openings concentrated in senior and principal engineering roles across silicon, embedded and robotics software.
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SiMa.ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
