Robotics Jobs Brazil

Robotics Jobs Brazil on Rex.zone helps you find and apply to remote, full-time robotics engineering roles supporting real-world robot development and deployment. This job category covers robotics software engineering, perception and sensor fusion, SLAM and localization, motion planning and controls, and simulation-to-real workflows used by tech startups and engineering teams. You will collaborate across hardware and software to improve robot autonomy, reliability, and performance, using modern toolchains like ROS/ROS2, Python/C++, Linux, and CI/CD. Explore openings, match your skills, and apply through Rex.zone for remote robotics jobs aligned with Brazil-focused search intent and global engineering teams.

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Robotics Engineer (Brazil, Remote, Full-Time)

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: Robotics, ROS2, C++, Python, SLAM, Motion Planning, Control Systems, Sensor Fusion, Computer Vision, Gazebo, Linux, CI/CD | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR

About This Robotics Role

You will build and maintain robotics software for autonomous and semi-autonomous systems, focusing on core autonomy components such as perception, localization, mapping, planning, and controls. You will translate product requirements into reliable robot behaviors, integrate sensors (cameras, IMU, LiDAR), and improve navigation and manipulation performance through iterative testing in simulation and on real hardware. You will also contribute to engineering quality through code reviews, telemetry, debugging, and automated testing.

Key Responsibilities

Deliver robotics autonomy features using ROS/ROS2 nodes, messages, services, and actions; develop perception pipelines (object detection, tracking, depth, point clouds) and sensor fusion; implement SLAM, localization, and mapping strategies suitable for real-world environments; create and tune motion planning and control loops for navigation and manipulation; build simulation-first workflows in Gazebo/Isaac (where applicable) and validate sim-to-real transfer; optimize runtime performance, reliability, and safety constraints on embedded/Linux targets; define interfaces between hardware drivers, autonomy stack, and cloud services; improve engineering velocity with CI/CD, unit/integration tests, and reproducible builds; document system behavior, operating procedures, and on-call runbooks as needed.

Required Qualifications

Mid-Senior experience building production robotics systems or adjacent autonomy software; strong programming skills in C++ and Python on Linux; practical experience with ROS/ROS2 and debugging distributed robotic systems; understanding of kinematics, control theory basics, and state estimation; hands-on familiarity with sensors (camera, IMU, LiDAR) and calibration concepts; experience with SLAM/localization, motion planning, or perception (computer vision / point cloud processing); ability to write clear technical documentation and collaborate across teams remotely.

Preferred Qualifications

Experience with Nav2, MoveIt, Behavior Trees, or MPC-based controllers; familiarity with CUDA or performance optimization for perception workloads; experience deploying robotics software on constrained compute (Jetson/ARM) and handling real-time considerations; exposure to safety practices, fault detection, and recovery behaviors; experience with robotics datasets, labeling tools, or evaluation harnesses for perception metrics; cloud connectivity patterns for robotics (telemetry, remote monitoring, OTA updates).

Tools And Tech Stack

ROS/ROS2, C++, Python, Linux, Git, Docker; perception: OpenCV, PCL, modern deep learning frameworks (as applicable); simulation: Gazebo/ignition (and related simulators as applicable); testing and ops: CI/CD pipelines, logging/metrics, profiling tools; math: linear algebra, optimization, state estimation, coordinate frames (TF).

How To Apply On Rex.zone

Apply through Rex.zone by submitting your resume and a brief summary of robotics projects (navigation, perception, SLAM, planning, controls). Include links to GitHub, publications, demos, or benchmarks where available, and highlight remote collaboration experience and production debugging examples.

Frequently Asked Questions

  • Q: What does “Robotics Jobs Brazil” mean on Rex.zone if the country is listed as US?

    “Robotics Jobs Brazil” is the SEO-aligned category page targeting Brazil-focused searches while listing a remote role under Rexzone with Country set to US. The role remains Remote, so candidates in Brazil can typically work with global teams depending on hiring eligibility and compliance.

  • Q: Is this role fully remote?

    Yes. Remote Type is Remote and the job is intended to be performed remotely, with coordination across time zones as needed.

  • Q: What type of robotics work does this role focus on?

    This role focuses on core robotics engineering: ROS/ROS2 development, perception and sensor fusion, SLAM/localization, motion planning, controls, and simulation-to-real validation.

  • Q: What experience level is expected?

    Experience Level is Mid-Senior. You should be able to design, implement, test, and maintain autonomy components with limited day-to-day supervision.

  • Q: Which skills are most important to match the posting?

    Robotics, ROS2, C++, Python, SLAM, motion planning, control systems, sensor fusion, computer vision, Gazebo, Linux, and CI/CD are the core skills aligned with the job title and intent.

  • Q: What is the compensation range and pay period?

    Salary range is USD 63360 to 126720, paid per YEAR.

  • Q: What kinds of employers does this role align with?

    The work aligns with technology companies building robotics products, including tech startups, robotics platform teams, and engineering organizations deploying autonomous systems.

  • Q: How do I improve my chances of getting shortlisted?

    Show end-to-end robotics ownership (requirements to deployment), provide measurable outcomes (latency, accuracy, reliability), include ROS2 packages or code samples, and describe debugging stories from real robots or realistic simulation environments.

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