Robotics Software Engineer Jobs Brazil

Robotics Software Engineer jobs in Brazil on Rex.zone focus on building and validating robot autonomy software across perception, planning, controls, and simulation. In this remote, full-time role, you will develop robot software stacks using ROS/ROS2, C++/Python, and modern CI/CD practices to improve real-world navigation, manipulation, and system reliability. You will collaborate with cross-functional teams to integrate sensors (camera, LiDAR, IMU), tune algorithms, and ship production-ready robotics applications. Explore remote and full-time robotics engineering opportunities at Rex.zone with workflows spanning simulation-to-real transfer, safety-aware testing, and performance optimization for deployed robotic systems.

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Robotics Software Engineer Jobs Brazil

Title: Robotics Software Engineer Jobs Brazil 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: ROS2, C++, Python, Robot Perception, Sensor Fusion, Motion Planning, SLAM, Control Systems, Gazebo, Simulation, Linux, Docker, CI/CD Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR

About the Role

Design, implement, and maintain robotics software components for autonomous behavior, including perception pipelines, localization/SLAM, planning, and control. Build reliable robot applications that run on embedded/edge compute and integrate with sensors such as cameras, LiDAR, IMU, and wheel odometry. Develop simulation-first workflows (e.g., Gazebo) to validate navigation and manipulation behaviors, then support deployment and monitoring on real hardware. Improve runtime performance, determinism, and fault handling through profiling, robust state machines, and safety-aware testing. Partner with mechanical, electrical, and QA teams to define interfaces, validate system requirements, and ensure stable releases.

Key Responsibilities

Own core robotics software modules in ROS/ROS2, including message interfaces, lifecycle nodes, and system orchestration. Implement perception and sensor fusion pipelines for robust environmental understanding and localization. Develop and tune motion planning and control algorithms for smooth, safe, and efficient robot behavior. Build simulation assets, test scenarios, and regression suites to validate behavior across edge cases and environmental variation. Create production-quality tooling for logging, replay, metrics, and debugging to accelerate iteration and root-cause analysis. Contribute to CI/CD, containerized deployments, and automated test pipelines to improve release quality. Collaborate on integration, bring-up, and field debugging, addressing performance and reliability issues end-to-end.

Required Qualifications

Mid-Senior experience building robotics or autonomous systems software in production or advanced R&D settings. Strong programming skills in C++ and Python, with proven ability to write testable, maintainable, performance-aware code. Hands-on ROS/ROS2 experience, including TF frames, bagging/logging, and common navigation stack concepts. Familiarity with core robotics algorithms: SLAM/localization, perception, planning, and control. Experience with Linux development environments, debugging tools, and modern software engineering practices (Git, code review, unit/integration testing). Ability to communicate clearly across disciplines and operate effectively in a remote, distributed team.

Preferred Qualifications

Experience deploying autonomy software on real robots (mobile robots, drones, industrial arms, or warehouse automation). Practical knowledge of sensor drivers and calibration (camera intrinsics/extrinsics, LiDAR alignment, IMU bias). Familiarity with common robotics libraries (Eigen, PCL, OpenCV) and middleware/performance considerations. Experience with simulation-to-real transfer, domain randomization, and test-driven development for robotics. Exposure to safety, reliability engineering, and formal verification/testing approaches in robotics.

Work Environment and Tools

Remote-first collaboration with structured planning, code reviews, and documented interfaces. Tooling includes ROS2, Linux, Docker, CI/CD pipelines, simulation (Gazebo), and observability via logs/metrics/replay. You may collaborate with AI/ML teams on perception models and data pipelines, and with QA teams on regression test strategy and release validation.

How to Apply on Rex.zone

Search and apply for Robotics Software Engineer jobs in Brazil through Rex.zone. Keep a resume ready that highlights ROS2 projects, autonomy modules shipped, simulation/test infrastructure, and measurable outcomes (latency reduction, stability improvements, successful deployments). Include links to GitHub, published papers, demos, or robotics portfolios when available.

Frequently Asked Questions

  • Q: What does a Robotics Software Engineer do in this role?

    You develop and maintain autonomy software for robots, including perception, localization/SLAM, motion planning, and control. You also build simulation and test infrastructure, integrate sensors, and support reliable deployments to real hardware.

  • Q: Is this role remote and full-time?

    Yes. The job metadata specifies Remote and FULL_TIME, and the workflow is designed for distributed engineering teams using code reviews, CI/CD, and simulation-driven testing.

  • Q: Which skills best match Robotics Software Engineer Jobs Brazil?

    Core skills include ROS2, C++, Python, robot perception, sensor fusion, SLAM, motion planning, control systems, Gazebo simulation, Linux, Docker, and CI/CD.

  • Q: What industries hire Robotics Software Engineers through Rex.zone?

    Common employers include technology companies building autonomous mobile robots, warehouse automation, industrial robotics, logistics, last-mile delivery, drones, and robotics-focused startups and labs.

  • Q: How do I stand out when applying?

    Show shipped robotics systems, ROS2 architecture ownership, strong testing discipline, and measurable results such as improved localization accuracy, reduced planner latency, fewer field failures, or increased uptime. Include demos, repositories, or technical write-ups.

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