[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-automotive-robotics-jobs-monterrey":3},{"Ques":4,"Slug":25,"Header":26,"job_category":33},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22],{"A":8,"Q":9},"Yes. Roles on this page remain explicitly marked Remote. The Monterrey keyword aligns with search intent and domain context, while day-to-day collaboration is remote-first.","Are these roles remote even though the keyword includes Monterrey?",{"A":11,"Q":12},"Work spans perception (computer vision, sensor fusion), localization\u002FSLAM, motion planning, control systems, simulation, validation, and production deployment for autonomous vehicles and automotive automation.","What types of automotive robotics work are covered?",{"A":14,"Q":15},"Common modifiers include remote, contract, freelance, full-time, entry-level, and senior. This posting is FULL_TIME and Mid-Senior by default, aligned with end-to-end engineering ownership.","Which modifiers and seniority levels are relevant here?",{"A":17,"Q":18},"Automotive OEMs, Tier-1 suppliers, robotics\u002FAV startups, AI labs, and technology vendors building autonomy stacks, simulation platforms, or validation tooling.","What employer types commonly hire for automotive robotics?",{"A":20,"Q":21},"Processes often include robotics fundamentals (kinematics, estimation, control), coding in C++\u002FPython, system design for real-time robotics, and scenario-based debugging using logs or simulation.","What is the interview process typically like?",{"A":23,"Q":24},"Highlight shipped robotics features, measurable metrics improvements, reproducible evaluation pipelines, safety-minded design, and experience with ROS2, sensor fusion, and simulation-based validation.","How do I stand out when applying through Rex.zone?","automotive-robotics-jobs-monterrey",{"desc":27,"title":28,"content":29},"Automotive robotics engineering roles focused on perception, planning, control, and validation for vehicle automation and factory automation workflows. On Rex.zone, these Remote FULL_TIME openings support real-world robotics pipelines—from sensor fusion and computer vision to motion planning, safety validation, and production deployment—helping teams improve system reliability, autonomy performance, and test coverage. Explore Remote, contract, freelance, full-time, entry-level, and senior paths aligned to automotive OEMs, suppliers, AI labs, and tech startups, with hands-on work across simulation, embedded systems, ROS\u002FROS2, and cloud MLOps for robotics.","Automotive Robotics Jobs Monterrey",[30],{"h2":31,"desc":32},"Open Role: Automotive Robotics Engineer (Monterrey)","Title: Automotive Robotics Engineer (Monterrey)\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: ROS2, C++, Python, Computer Vision, Sensor Fusion, SLAM, Motion Planning, Control Systems, Autonomous Driving, Simulation\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nYou will design, integrate, and validate robotics software for automotive-grade systems, spanning perception (camera\u002Fradar\u002Flidar), localization and mapping, planning, and closed-loop control. You will work with simulation and real-world logs to improve autonomy performance, reduce edge-case failures, and harden algorithms for production constraints (latency, safety, compute, and robustness).\n\nKey responsibilities:\n- Build and optimize robotics components for perception, localization, planning, and control.\n- Develop sensor fusion and tracking pipelines; improve calibration and time synchronization.\n- Implement SLAM\u002Flocalization approaches and evaluate drift, loop closure, and map quality.\n- Create motion planning behaviors; tune controllers for comfort, stability, and safety constraints.\n- Establish evaluation metrics, regression tests, and scenario-based validation in simulation and replay.\n- Collaborate with embedded, test, and safety stakeholders to meet automotive process expectations.\n\nWhat success looks like:\n- Measurable improvements in autonomy KPIs (tracking accuracy, localization error, intervention rate).\n- Strong test coverage and reproducible benchmarks for model and algorithm changes.\n- Production-minded implementations that respect real-time requirements and reliability needs.\n\nPreferred experience:\n- ROS\u002FROS2 nodes, message design, and real-time debugging.\n- Computer vision and multi-sensor fusion (EKF\u002FUKF, factor graphs, tracking filters).\n- Simulation tooling (Gazebo\u002FIgnition, CARLA, Webots) and log-replay evaluation.\n- Working knowledge of safety validation, fault handling, and deployment constraints.\n\nHow to apply:\n- Apply through Rex.zone with a resume highlighting robotics stack ownership, benchmarks, and shipped systems.\n- Include links to code samples or publications where available.","Engineering"]