{"id":3074298,"url":"https://alion.io/job/mobileye-software-engineer-sensor","title":"Software Engineer (Sensor)","company":{"id":174,"name":"Mobileye","domain":"mobileye.com","url":"https://alion.io/company/mobileye","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":84,"open_postings":58,"ghost_share":0,"stale_share":0.621,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":94000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":52},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"GStreamer","optional":false},{"name":"Linux","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"ROS","optional":false},{"name":"Valgrind","optional":false},{"name":"Wireshark","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-10-22T07:01:38Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-26T10:39:37Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"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.\nWe 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.\nWho you are:\nSystems developer passionate about low-latency sensor drivers, hardware abstraction layers, cross-sensor clock synchronization, and zero-drop data pipelines.\nHands-on software craftsman adept at Linux device drivers, SocketCAN, V4L2, GStreamer, zero-copy shared memory, and C++ system design.\nDriven by high data fidelity, deterministic timing, failure resilience, and continuous API clean-up.\nA strong collaborator across perception, state estimation, hardware design, and calibration teams.\nResponsibilities:\nDesign 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).\nImplement hardware-assisted time synchronization protocols (IEEE 1588 PTP, gPTP, PPS, hardware sync trigger lines) across distributed sensor nodes and central compute.\nDevelop low-latency zero-copy data transport pipelines to deliver high-bandwidth point clouds, video frames, and telemetry to perception and RL control modules.\nBuild sensor fault detection, health monitoring, automatic recovery, dynamic re-connection, and runtime diagnostic daemons.\nOptimize Linux kernel driver stacks (V4L2, USB3/UVC, SocketCAN, Ethernet) for maximum throughput, sub-millisecond jitter, and minimal CPU footprint.\nDefine unified sensor data abstractions, schema definitions, and ROS 2/DDS topic interfaces for seamless downstream algorithmic consumption.\nCollaborate with hardware and calibration engineers to conduct environmental stress validation and motion artifact testing on physical robot platforms.\nProduce clear technical documentation, integration standards, and automated testing suites for factory floor sensor testing.\nRequirements:\nB.Sc. or M.Sc. in Computer Science, Robotics, Electrical Engineering, or related technical disciplines.\n5+ years of software engineering experience in sensor integration, low-level driver development, or robotics middleware.\nMastery of C++ (17/20) and Python with proven experience in object-oriented system design, multi-threading, and asynchronous I/O.\nDeep hands-on experience with sensor Linux drivers and communication protocols (V4L2, SocketCAN, SPI, I2C, MIPI-CSI2, GStreamer, OpenCV).\nProven track record implementing sub-microsecond hardware time synchronization (PTP, PPS, external trigger pulses) across cameras and IMUs.\nSolid knowledge of ROS 2 / DDS pub-sub architecture, zero-copy shared memory transport, and system IPC optimization.\nStrong debugging skills using network tools (Wireshark), USB protocol analyzers, and GDB/Valgrind profiling suites.\nAdvantages:\nDirect experience integrating multi-modal sensor arrays on humanoid or quadruped robots.\nExperience with GPU acceleration for sensor stream decoding and pre-processing (CUDA, Jetson VPI, NvMedia).\nExperience with tactile sensor arrays, event-based cameras, or high-rate IMU filtering architectures.\nComfortable communicating technical topics in English with international teams.","description_format":"text","description_chars":3987,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":true}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Autonomous Driving","Computer 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