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At Mentee Robotics, we are redefining humanoid automation with an AI-first approach - combining perception, reasoning, and dexterous manipulation into fully autonomous systems that continuously learn and improve. We offer an exceptional opportunity to participate in building next-generation commercial humanoid robots from 0 to 1, alongside competitive compensation, and an international engineering environment. We are expanding with a new robotics Engineering Center in China, working hand-in-hand with our engineering teams in headquarters. Its mission: to rapidly develop our next-generation full-size humanoid platform and bring it to production.
We are looking for a Sensor Software Engineer to own the architecture, driver development, high-throughput ingestion pipelines, clock synchronization, and data abstraction layers for all perception and proprioceptive sensors (RGB-D cameras, ToF, LiDAR, high-frequency IMU, 6-axis F/T sensors, and tactile arrays) across our humanoid robot.
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.
Skills Required
- B.Sc. or M.Sc. in Computer Science, Robotics, Electrical Engineering, or a related technical discipline
- 5+ years of software engineering experience in sensor integration, low-level driver development, or robotics middleware
- Mastery of C++17/C++20 and Python
- Experience with object-oriented system design, multithreading, and asynchronous I/O
- Hands-on experience with sensor Linux drivers and communication protocols, including V4L2, SocketCAN, SPI, I2C, MIPI-CSI2, GStreamer, and OpenCV
- Experience implementing sub-microsecond hardware time synchronization using PTP, PPS, or external trigger pulses across cameras and IMUs
- Knowledge of ROS 2/DDS publish-subscribe architecture, zero-copy shared-memory transport, and system IPC optimization
- Strong debugging skills using Wireshark, USB protocol analyzers, GDB, and Valgrind
- Experience integrating multimodal sensor arrays on humanoid or quadruped robots
- Experience with GPU acceleration for sensor stream decoding and preprocessing, including CUDA, Jetson VPI, or NvMedia
- Experience with tactile sensor arrays, event-based cameras, or high-rate IMU filtering architectures
- Comfort communicating technical topics in English with international teams
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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