Robotics Jobs Porto Alegre

Robotics Jobs Porto Alegre at Rex.zone connect Mid-Senior engineers with full-time remote robotics roles spanning robotic perception, motion planning, SLAM, control systems, and simulation-to-real workflows. You will build and evaluate robotics software and autonomy stacks used in real-world systems, applying rigorous testing, safety practices, and performance optimization across ROS/ROS2 pipelines. These opportunities support AI-enabled robotics products in technology teams, including robotics startups, AI labs, and automation groups, with clear pathways from prototype to deployment. Explore and apply to remote, full-time robotics jobs through Rex.zone and contribute to production-grade autonomy, navigation, and manipulation systems.

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Robotics Jobs Porto Alegre — Remote Role Overview

LinkedIn Job Metadata (Compact): 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, SLAM, Motion Planning, Perception, Computer Vision, Sensor Fusion, Control Systems, Gazebo, Isaac Sim, Navigation, Manipulation, Robotics Simulation, Embedded Systems, Real-Time Systems, Linux, CI/CD, Unit Testing, Hardware Integration | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR In this remote robotics track aligned to Robotics Jobs Porto Alegre, you will help design, implement, and validate robotics software components across autonomy stacks. Typical work includes robotic perception pipelines (camera/LiDAR/radar), sensor fusion, localization and mapping (SLAM), motion planning, trajectory optimization, and feedback control. You will collaborate with cross-functional teams to integrate hardware drivers, ROS/ROS2 nodes, real-time constraints, and simulation environments (Gazebo/Isaac Sim) to accelerate iteration. Success is measured by navigation reliability, latency and throughput, robustness to edge cases, test coverage, reproducibility, and safe deployment practices.

Key Responsibilities

Design and maintain ROS/ROS2 architectures, message interfaces, and modular node graphs for autonomy features. Implement and optimize SLAM, localization, mapping, and state estimation pipelines using multi-sensor data. Develop motion planning and control modules (path planning, trajectory generation, MPC/PID) with safety constraints. Build perception components for detection, tracking, and scene understanding; improve robustness under domain shift. Create simulation-to-real workflows: scenario generation, ground-truth evaluation, and regression testing in simulation. Integrate hardware sensors and actuators; validate timing, calibration, synchronization, and failure modes. Define metrics and evaluation harnesses for navigation success rate, collision/near-miss rates, and latency budgets. Establish CI/CD, unit/integration tests, and reproducible builds for Linux-based robotics stacks. Document interfaces, operational runbooks, and deployment procedures for production robotics systems.

Required Qualifications

Mid-Senior experience delivering robotics software in production or advanced prototypes. Strong C++ and Python skills for performance-critical robotics modules and tooling. Hands-on ROS/ROS2 experience, including debugging distributed systems and message timing issues. Practical understanding of SLAM/localization, motion planning, and feedback control concepts. Experience with computer vision and sensor fusion (e.g., EKF/UKF), calibration, and time synchronization. Proficiency with Linux, git, and automated testing; ability to profile and optimize compute pipelines. Ability to translate requirements into measurable acceptance criteria and evaluation metrics.

Preferred Qualifications

Experience with Gazebo, Isaac Sim, or similar robotics simulation platforms and scenario-based testing. Familiarity with real-time systems, embedded constraints, and hardware-in-the-loop validation. Exposure to autonomy safety practices, operational design domains, and fault detection strategies. Knowledge of GPU acceleration, CUDA-enabled perception, or model optimization for edge deployment. Experience building navigation/manipulation stacks and integrating with robotic arms or mobile bases.

Who These Robotics Jobs Are For

Engineers searching for Robotics Jobs Porto Alegre who want remote, full-time roles contributing to autonomy and robotics platforms. Candidates from robotics startups, AI labs, and technology teams building navigation, manipulation, and perception systems. Professionals who enjoy measurable improvements in reliability, test coverage, latency, and deployment readiness. Applicants who can collaborate across software, ML, and hardware integration teams while maintaining high engineering quality.

How to Apply on Rex.zone

Use Rex.zone to explore Robotics Jobs Porto Alegre listings, filter by remote and full-time roles, and submit your application. Prepare a concise portfolio highlighting ROS/ROS2 projects, autonomy modules shipped, simulation and testing practices, and measurable performance improvements (latency, success rate, robustness).

Frequently Asked Questions

  • Q: Are these Robotics Jobs Porto Alegre roles fully remote?

    Yes. The roles on this page are explicitly marked Remote and are designed for distributed engineering teams working across robotics software, simulation, and integration workflows.

  • Q: What does the salary range represent?

    The posted range is 63360 to 126720 USD per year, depending on scope, depth of robotics experience, and the specific autonomy stack requirements.

  • Q: What kinds of robotics systems do these jobs typically support?

    Common systems include mobile robots (navigation and obstacle avoidance), autonomy stacks for mapping and localization, manipulation pipelines, and simulation-first development for robotics product teams.

  • Q: Which skills should I highlight to match Robotics Jobs Porto Alegre intent?

    Highlight ROS/ROS2, C++, Python, SLAM/localization, motion planning, perception/computer vision, sensor fusion, control systems, simulation (Gazebo/Isaac Sim), Linux, and robust testing/CI practices.

  • Q: Do I need prior hardware integration experience?

    It is helpful but not always required. Many roles value strong autonomy software skills and the ability to work with sensor data, timing, calibration, and integration testing even if hardware access is limited.

  • Q: How do companies evaluate robotics engineering performance in remote teams?

    Teams typically rely on reproducible simulation environments, automated regression tests, metrics dashboards (success rate, collision rate, latency), code reviews, and well-defined interface contracts across ROS/ROS2 modules.

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