[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-automotive-robotics-jobs-sao-paulo":3},{"Ques":4,"Slug":22,"Header":23,"job_category":39},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19],{"A":8,"Q":9},"Yes. The page targets the São Paulo search modifier while roles are explicitly marked Remote. Teams may support São Paulo-aligned projects or time zones, but the default work arrangement here remains Remote.","Are these roles really remote if the keyword is São Paulo?",{"A":11,"Q":12},"They connect perception, sensor fusion, planning, and control to real vehicle behavior and validation. In data-centric orgs, they also partner with data labeling and QA evaluation teams to improve training data quality and model performance improvement through structured feedback loops.","What does an Automotive Robotics Engineer do in an AI\u002FML workflow?",{"A":14,"Q":15},"Core skills include automotive robotics, autonomous driving, ROS, sensor fusion, computer vision, motion planning, control systems, SLAM, simulation, and safety validation.","Which skills best match Automotive Robotics Jobs São Paulo?",{"A":17,"Q":18},"Common employers include technology companies, mobility teams, AI labs, and tech startups. Some roles also interact with annotation vendors or BPO partners for computer vision annotation and dataset QA evaluation.","What types of employers hire for these roles on Rex.zone?",{"A":20,"Q":21},"Yes—Employment Type is FULL_TIME. The listed range is USD 63360 to 126720 per year.","Is this a full-time role and what is the salary range?","automotive-robotics-jobs-sao-paulo",{"desc":24,"title":25,"content":26},"Automotive Robotics Jobs São Paulo focus on engineering autonomous driving and vehicle automation systems—from perception and sensor fusion to motion planning, controls, and safety validation. On Rex.zone, you can explore remote, full-time roles supporting AI\u002FML training pipelines, simulation-based testing, computer vision, and robotics software for automotive platforms. These jobs collaborate with AI labs, tech startups, and mobility teams to improve model performance, drive training data quality, and ship production-grade autonomy features with rigorous QA evaluation and compliance workflows.","Automotive Robotics Jobs São Paulo",[27,30,33,36],{"h2":28,"desc":29},"Automotive Robotics Engineer","Job Metadata: Title: Automotive Robotics Engineer | Date: 25-02-2026 | Company: Rexzone | Country: US | Remote Type: Remote | Employment Type: FULL_TIME | Experience Level: Mid-Senior | Industry: Technology | Job Function: Engineering | Skills: automotive robotics, autonomous driving, ROS, sensor fusion, computer vision, motion planning, control systems, SLAM, simulation, safety validation | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR\n\nRole Overview: You will design and implement robotics and autonomy features for automotive applications, spanning perception, localization, planning, and control. The work emphasizes production engineering, simulation-first iteration, and measurable improvements to model performance improvement and vehicle behavior.\n\nKey Responsibilities: [\"Develop perception and sensor fusion pipelines using camera, radar, and LiDAR inputs for robust on-road operation\",\"Build and optimize motion planning and control loops (trajectory generation, MPC\u002FPID), targeting smooth, safe maneuvers\",\"Integrate autonomy modules into ROS\u002FROS2-based stacks and automotive middleware, maintaining clear interfaces and fault handling\",\"Create simulation and replay workflows for regression testing, scenario coverage, and safety validation\",\"Collaborate with data operations on training data quality, annotation guidelines compliance, and QA evaluation to reduce model errors\",\"Define metrics and dashboards for autonomy KPIs (disengagements, collision risk proxies, tracking stability) and run root-cause analyses\",\"Support model deployment constraints (latency, compute, memory) and on-vehicle debugging for edge performance\"]\n\nRequired Qualifications: [\"Mid-Senior engineering experience in robotics, autonomy, or automotive ADAS\",\"Strong proficiency in C++ and\u002For Python for robotics software\",\"Hands-on experience with ROS\u002FROS2, SLAM\u002Flocalization, and multi-sensor calibration concepts\",\"Practical knowledge of motion planning and control (trajectory optimization, state estimation, vehicle dynamics)\",\"Experience with simulation tooling and scenario-based testing for autonomous systems\"]\n\nPreferred Qualifications: [\"Experience with computer vision and deep learning for perception (object detection, lane\u002Froad understanding)\",\"Familiarity with functional safety concepts (ISO 26262), safety cases, and validation best practices\",\"Experience building data-centric iteration loops: labeling specs, prompt evaluation-style human review, and QA evaluation processes\",\"Background working with mobility teams, AI labs, annotation vendors, or BPO-style data operations partners\"]\n\nHow You Work on Rex.zone: You will collaborate remotely across engineering and data workflows to accelerate autonomy iteration cycles. You may interface with annotation teams for computer vision annotation, content safety labeling where needed for in-cabin sensing, and systematic dataset audits to improve large model and perception reliability.\n\nApply: Explore and apply to Automotive Robotics Jobs São Paulo on Rex.zone to join remote, full-time engineering teams building real-world vehicle autonomy.",{"h2":31,"desc":32},"About Rex.zone","Rex.zone is a platform where candidates discover remote, full-time roles across AI\u002FML and engineering workflows. Opportunities may span automotive robotics, NLP, computer vision, LLM training pipelines, data labeling operations, RLHF-style evaluation, and QA evaluation—depending on the team and product focus.",{"h2":34,"desc":35},"What Success Looks Like","[\"Improved autonomy performance through measurable gains in perception accuracy, tracking stability, and planning comfort\",\"Reduced regression risk using scenario libraries, simulation coverage, and repeatable evaluation pipelines\",\"Stronger training data quality via clear labeling specs, dataset audits, and annotation guidelines compliance\",\"Reliable deployments with robust logging, monitoring, and safe fallbacks under edge-case conditions\"]",{"h2":37,"desc":38},"Related Remote Job Modifiers","[\"remote\",\"full-time\",\"contract\",\"freelance\",\"entry-level\",\"senior\",\"computer vision\",\"NLP\",\"LLM training pipelines\",\"content safety\",\"AI labs\",\"tech startups\",\"annotation vendors\",\"BPO\"]","Engineering"]