[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-robotics-jobs-campinas":3},{"Ques":4,"Slug":25,"Header":26,"job_category":38},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22],{"A":8,"Q":9},"Yes. Remote Type is Remote, and the role is structured for distributed collaboration using shared simulation environments, logs, and CI-based validation.","Is this role remote?",{"A":11,"Q":12},"Yes. Employment Type is FULL_TIME with an annual compensation range paid in USD.","Is this a full-time position?",{"A":14,"Q":15},"Experience Level is Mid-Senior, emphasizing independent ownership of robotics modules and cross-functional integration.","What seniority level is targeted?",{"A":17,"Q":18},"Core skills include ROS2, SLAM, motion planning, robot perception, sensor fusion, computer vision, C++, Python, and simulation tooling such as Gazebo.","What skills should match the job intent for Robotics Jobs Campinas?",{"A":20,"Q":21},"You will build and validate autonomy components across perception, localization\u002Fmapping, planning, and control, with strong focus on testing, metrics, and deployment readiness.","What kind of robotics work will I do day to day?",{"A":23,"Q":24},"Apply on Rex.zone with a resume and concise evidence of shipped robotics systems or impactful prototypes, including links to repositories, demos, publications, or technical write-ups when available.","How do I apply through Rex.zone?","robotics-jobs-campinas",{"desc":27,"title":28,"content":29},"Robotics Jobs Campinas is a remote, full-time Engineering opportunity on Rex.zone for Mid-Senior robotics engineers building real-world autonomy systems. You will contribute to robot perception, SLAM, motion planning, and controls across simulation and hardware-in-the-loop workflows, improving safety, performance, and reliability. This role aligns with industry hiring patterns for robotics R&D, mechatronics, ROS\u002FROS2 development, and autonomous systems integration at tech companies. Apply through Rex.zone to join distributed robotics teams and deliver production-grade robotic software and systems.","Robotics Jobs Campinas",[30,32,35],{"h2":28,"desc":31},"Date: 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, SLAM, Motion Planning, Robot Perception, Sensor Fusion, Computer Vision, Path Planning, C++, Python, Gazebo Simulation\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nYou will design, implement, and validate robotics software for autonomous platforms, spanning perception pipelines, localization and mapping, planning, and control. The work emphasizes production-readiness: telemetry, failure analysis, regression testing, safety constraints, and reproducible experiments. You will collaborate with cross-functional partners (hardware, embedded, ML, QA) to integrate sensors (camera, LiDAR, IMU) and deploy robust stacks to real systems via CI\u002FCD and structured release processes.\n\nResponsibilities:\n- Build and maintain ROS2 nodes for perception, localization, planning, and control\n- Develop SLAM and state estimation modules using multi-sensor fusion (EKF\u002FUKF)\n- Implement motion planning and trajectory optimization under kinematic and dynamic constraints\n- Create simulation-first workflows (Gazebo\u002FIsaac) with scenario coverage and regression suites\n- Tune controllers (PID\u002FMPC) and improve stability, tracking error, and energy efficiency\n- Establish data capture, labeling\u002Fground-truth alignment, and evaluation metrics for robotics experiments\n- Diagnose field issues using logs, bag files, and performance profiling; propose corrective actions\n- Document interfaces, assumptions, and safety boundaries; enforce coding standards and reviews\n\nRequired Qualifications:\n- Mid-Senior experience delivering robotics or autonomous systems in production or advanced R&D\n- Strong C++ and Python with clean architecture, testing discipline, and performance awareness\n- Hands-on ROS2 (or deep ROS1 with migration experience), TF, URDF, and navigation concepts\n- Practical understanding of SLAM, state estimation, and sensor fusion for mobile robots\n- Experience with motion planning (sampling-based, optimization-based) and collision checking\n- Familiarity with camera\u002FLiDAR perception, calibration, and time synchronization\n\nPreferred Qualifications:\n- Experience with embedded\u002Freal-time constraints and hardware-in-the-loop validation\n- Exposure to safety engineering (fault detection, redundancy, constraints, risk analysis)\n- Experience deploying models for perception (e.g., object detection\u002Fsegmentation) on edge devices\n- Comfort with Linux tooling, containers, and CI systems for robotics builds and releases\n\nWhat You’ll Work With:\n- ROS2, Nav2, TF2, RViz, Gazebo\u002FIsaac simulation\n- C++, Python, Eigen, OpenCV, PCL\n- SLAM\u002Fstate estimation toolchains and logging\u002Ftelemetry pipelines\n\nHow to Apply on Rex.zone:\n- Submit your application with a short summary of robotics systems shipped, relevant repos\u002Fpapers, and your preferred autonomy domain (perception, SLAM, planning, controls).\n- Include examples of debugging a field issue or improving a key metric (e.g., localization drift, planning latency, tracking error).",{"h2":33,"desc":34},"Why This Role on Rex.zone","Rex.zone connects candidates to remote, full-time roles across robotics and autonomous systems, including employer types such as AI labs, tech startups, and engineering vendors. You’ll see clear expectations around production robotics workflows: simulation-to-real transfer, training data quality for perception, evaluation metrics, and safety-minded releases. Search modifiers supported across Rex.zone include remote, contract, freelance, full-time, entry-level, and senior roles—helping you navigate robotics openings efficiently.",{"h2":36,"desc":37},"Key Workflows and Deliverables","Typical deliverables include:\n- Robotics software modules with measurable performance targets (latency, accuracy, drift)\n- Evaluation harnesses for scenario coverage, edge cases, and regression detection\n- Integration plans for sensors and compute, including calibration and synchronization\n- Deployment-ready builds with monitoring, logs, and runbooks for support\n\nCommon evaluation and quality signals:\n- Localization drift over time and loop-closure stability\n- Planning success rate, collision rate, and constraint satisfaction\n- Control tracking error, oscillation, and recovery behavior\n- Perception precision\u002Frecall and robustness to lighting\u002Fweather\u002Focclusions","Engineering"]