Robotics Engineer Jobs Curitiba focus on designing, integrating, and validating robot systems across perception, motion planning, control, and embedded software. At Rex.zone (Rexzone), you will support end-to-end robotics workflows including sensor fusion, SLAM, computer vision, calibration, simulation, autonomy testing, and production-quality QA for robotic platforms. These remote, full-time roles align with modern robotics stacks (ROS/ROS2, real-time control, hardware-in-the-loop) and may intersect with AI/ML evaluation such as dataset curation, model performance improvement, and safety validation for autonomy. Explore and apply through Rex.zone to match with robotics teams at tech companies, startups, and AI-driven product groups.
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: ROS, ROS2, Motion Planning, SLAM, Sensor Fusion, Computer Vision, Control Systems, Embedded Systems, C++, Python, Gazebo, Simulation, Calibration, Real-Time Systems, Linux | Salary Currency: USD | Salary Min: 63360 | Salary Max: 126720 | Pay Period: YEAR
As a Robotics Engineer, you will build and improve robotics capabilities from perception to actuation. You will develop ROS/ROS2 nodes, implement motion planning and control loops, integrate sensors (camera, LiDAR, IMU), and validate autonomy behavior in simulation and on hardware. You will collaborate with cross-functional teams to define requirements, implement robust telemetry, run regression testing, and improve system reliability. You will also contribute to evaluation pipelines for perception and autonomy, including dataset design, labeling guidelines where needed, QA checks, and performance metrics tracking to support model performance improvement.
Own components of the robotics software stack including perception interfaces, state estimation, planning, and control. Integrate and calibrate sensors; maintain synchronization and coordinate frames; validate transforms and timing. Build simulation scenarios and run SIL/HIL test campaigns to verify behavior across edge cases. Define and monitor KPIs such as localization drift, obstacle detection quality, trajectory tracking error, latency, and safety constraints. Implement tooling for data collection and replay; curate evaluation datasets; perform QA evaluation of autonomy logs and perception outputs. Document architecture, interfaces, and operational procedures; contribute to on-call and incident retrospectives where applicable.
Mid-to-senior experience delivering robotics or autonomous systems in production, lab, or field environments. Strong C++ and Python skills with Linux development workflows and debugging. Practical experience with ROS/ROS2, sensor drivers, tf transforms, message timing, and bag/log workflows. Knowledge of SLAM, sensor fusion, motion planning, and control systems fundamentals. Experience with simulation tools (e.g., Gazebo) and structured testing methodologies, including regression and performance testing.
Experience with computer vision pipelines (camera models, calibration, feature tracking, detection/segmentation) and sensor fusion architectures (EKF/UKF). Familiarity with real-time systems and embedded constraints, including deterministic scheduling and latency budgets. Experience building evaluation harnesses for autonomy and perception, including dataset curation, annotation guidelines compliance, and training data quality checks when ML is involved. Understanding of functional safety concepts, content safety labeling for human-facing robots, and structured incident analysis.
ROS/ROS2, C++, Python, Linux, Gazebo/simulation, version control, CI/CD for robotics, logging/telemetry, calibration toolchains, and test frameworks. Depending on the project, you may work with computer vision annotation and QA evaluation workflows for large language model evaluation used in robotics interfaces, prompt evaluation for operator tooling, and named entity recognition for command parsing.
This is a Remote, FULL_TIME role with structured async collaboration. You will coordinate with teammates across time zones, provide clear status updates, and maintain high-quality documentation. Hardware access may be supported through remote labs, recorded runs, and standardized log replay pipelines; some projects may require periodic scheduled lab windows.
Salary Range: 63360 to 126720 USD per YEAR. Exact compensation depends on scope, seniority, interview performance, and project requirements.
Apply via Rex.zone to be considered for Robotics Engineer Jobs Curitiba aligned to your robotics domain (perception, planning, control, embedded, simulation, QA). Keep a portfolio ready: GitHub code samples, simulation demos, SLAM/planning write-ups, or system integration notes. If you have ML-adjacent work, include examples of training data quality practices, QA evaluation, and model performance improvement metrics.
You may also find remote, full-time, contract, freelance, entry-level, and senior roles related to robotics engineering on Rex.zone. Adjacent domains include NLP command parsing, computer vision annotation, content safety labeling for human-robot interaction, LLM training pipelines for operator copilots, RLHF-style preference data for robot instruction following, and large language model evaluation for robotics support tooling.
Yes. The Remote Type is Remote, and the roles are designed for distributed collaboration with simulation, log replay, and structured testing workflows.
Employment Type is FULL_TIME.
Strong ROS/ROS2 experience, C++ and Python, Linux, sensor fusion, SLAM, motion planning, control systems, simulation (e.g., Gazebo), calibration, and test/QA practices.
Depending on the project, yes. Robotics programs often require dataset curation, training data quality checks, QA evaluation, and performance metrics for perception and autonomy. Some teams may also use prompt evaluation and large language model evaluation for robotics operator tools.
Salary Min is 63360 and Salary Max is 126720, paid per YEAR in USD.
Experience Level is Mid-Senior, suited to engineers who can own robotics components end-to-end and contribute to reliability, testing, and integration.
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