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Software Engineer (Sensor)

Mobileye Vision Technologies Ltd.

Shanghai, ChinaKernel / LinuxFull timePosted Oct 22, 2026
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Skills named in this posting

  • Ethernet
  • USB
  • I2C / UART
  • C++
  • Python
  • Linux kernel
  • Device drivers
  • CUDA
Who you are: • Systems developer passionate about low-latency sensor drivers, hardware abstraction layers, cross-sensor clock synchronization, and zero-drop data pipelines. • Hands-on software craftsman adept at Linux device drivers, SocketCAN, V4L2, GStreamer, zero-copy shared memory, and C++ system design. • Driven by high data fidelity, deterministic timing, failure resilience, and continuous API clean-up. • A strong collaborator across perception, state estimation, hardware design, and calibration teams. Responsibilities: • Design and maintain robust C++ driver abstraction layers for heterogeneous sensor suites (RGB-D cameras, ToF, LiDAR, high-rate IMUs, tactile sensors, 6-axis force-torque sensors). • Implement hardware-assisted time synchronization protocols (IEEE 1588 PTP, gPTP, PPS, hardware sync trigger lines) across distributed sensor nodes and central compute. • Develop low-latency zero-copy data transport pipelines to deliver high-bandwidth point clouds, video frames, and telemetry to perception and RL control modules. • Build sensor fault detection, health monitoring, automatic recovery, dynamic re-connection, and runtime diagnostic daemons. • Optimize Linux kernel driver stacks (V4L2, USB3/UVC, SocketCAN, Ethernet) for maximum throughput, sub-millisecond jitter, and minimal CPU footprint. • Define unified sensor data abstractions, schema definitions, and ROS 2/DDS topic interfaces for seamless downstream algorithmic consumption. • Collaborate with hardware and calibration engineers to conduct environmental stress validation and motion artifact testing on physical robot platforms. • Produce clear technical documentation, integration standards, and automated testing suites for factory floor sensor testing. Requirements: • B.Sc. or M.Sc. in Computer Science, Robotics, Electrical Engineering, or related technical disciplines. • 5+ years of software engineering experience in sensor integration, low-level driver development, or robotics middleware. • Mastery of C++ (17/20) and Python with proven experience in object-oriented system design, multi-threading, and asynchronous I/O. • Deep hands-on experience with sensor Linux drivers and communication protocols (V4L2, SocketCAN, SPI, I2C, MIPI-CSI2, GStreamer, OpenCV). • Proven track record implementing sub-microsecond hardware time synchronization (PTP, PPS, external trigger pulses) across cameras and IMUs. • Solid knowledge of ROS 2 / DDS pub-sub architecture, zero-copy shared memory transport, and system IPC optimization. • Strong debugging skills using network tools (Wireshark), USB protocol analyzers, and GDB/Valgrind profiling suites. Advantages: • Direct experience integrating multi-modal sensor arrays on humanoid or quadruped robots. • Experience with GPU acceleration for sensor stream decoding and pre-processing (CUDA, Jetson VPI, NvMedia). • Experience with tactile sensor arrays, event-based cameras, or high-rate IMU filtering architectures. • Comfortable communicating technical topics in English with international teams.

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Original posting: jobs.eu.lever.co

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RISC-V ecosystem

Mobileye Vision Technologies Ltd. in the RISC-V ecosystem

RISC-V International: Strategic

Mobileye is an Israeli subsidiary of Intel corporation that develops vision-based self-driving car and advanced driver-assistance systems providing warnings for collision prevention and mitigation.

  • Uses RISC-V in automotive silicon: EyeQ Ultra is described as a RISC-V processor targeting Level-4 autonomous driving
  • Exhibited in the RISC-V booth at Embedded World 2023

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