Robotics Jobs Managua

Robotics Jobs Managua at Rex.zone focuses on the job entity of robotics engineering for remote, full-time teams building robot perception, motion planning, control systems, and AI-driven autonomy. You will work across robotics software engineering workflows such as sensor fusion, SLAM, computer vision, and simulation-to-real validation, with strong emphasis on safety, reliability, and test coverage. This page also maps to adjacent AI/ML training pipelines used in robotics—data labeling, QA evaluation, prompt evaluation, and RLHF-style human feedback loops that improve autonomy behaviors and model performance. Explore Rex.zone to apply for remote roles across AI labs, tech startups, and engineering teams supporting LLM, NLP, and computer vision in production robotics systems.

Robotics Jobs Managua

Role Overview

Design and ship robotics capabilities for real-world autonomy, including perception, localization, mapping, planning, and controls. You will collaborate with cross-functional teams to define requirements, build reusable ROS2 nodes and libraries, run simulation-first experiments, and validate performance on target hardware. The role connects robotics engineering with AI/ML evaluation workflows: curate and label sensor datasets, run QA evaluation against annotation guidelines compliance, measure model performance improvement, and apply human feedback loops to reduce safety and reliability regressions.

Key Responsibilities

You will: build and maintain ROS2-based robotics software; implement motion planning and trajectory optimization; develop SLAM and sensor fusion pipelines for camera/LiDAR/IMU; integrate computer vision and deep learning models for perception; create simulation scenarios (Gazebo/Isaac Sim) and automate regression testing; define training data quality checks, dataset versioning, and evaluation metrics; partner with data labeling and QA teams to ensure annotation guidelines compliance; conduct root-cause analysis for autonomy failures; document interfaces, runbooks, and safety constraints for production deployments.

Required Qualifications

Mid-Senior experience in robotics or autonomy engineering; strong Python and C++ skills; hands-on ROS2 development and debugging; understanding of kinematics, dynamics, and control systems; practical experience with SLAM, sensor fusion, and motion planning; familiarity with computer vision pipelines and deployment constraints; ability to design tests, instrumentation, and metrics for reliability; experience working with datasets, labeling workflows, or evaluation loops in AI/ML systems.

Preferred Qualifications

Experience with LiDAR perception, object tracking, and multi-sensor calibration; familiarity with GPU acceleration, edge deployment, and real-time constraints; experience with autonomy safety practices (fault handling, redundancy, safe states); exposure to LLM tooling for robotics (task planning, tool calling, prompt evaluation) and RLHF-style feedback; experience in production CI/CD for robotics stacks, containerization (Docker), and reproducible simulation environments.

Tools, Workflows, and Evaluation

You will use ROS2, Python, C++, Docker, CI/CD, and simulation platforms such as Gazebo or Isaac Sim. Quality workflows include training data quality checks, dataset curation, annotation guidelines compliance, QA evaluation, and offline/online benchmarking for localization, planning success rate, and safety events. Where perception models are used, you will participate in model evaluation, error analysis, and iterative improvements using labeled data and human feedback loops.

How to Apply on Rex.zone

Apply through Rex.zone by submitting your resume, links to repositories or publications, and a brief summary of robotics systems you have shipped. Highlight ROS2 packages, planning/SLAM contributions, simulation-to-real experience, and examples where evaluation metrics or labeled datasets improved autonomy performance.

Frequently Asked Questions

Q: Are these roles remote and full-time?
Yes. This posting is explicitly Remote and FULL_TIME, aligned to engineering teams hiring through Rex.zone.
Q: What does “Robotics Jobs Managua” mean if the country is US?
The keyword targets search intent for robotics jobs related to Managua while the job metadata remains Country: US and Remote Type: Remote, meaning you can work remotely for a US-based role.
Q: What robotics domains are covered in this role?
Typical domains include ROS2 development, perception and computer vision, SLAM and localization, sensor fusion, motion planning, and control systems, validated through simulation and real-world testing.
Q: How does AI/ML evaluation relate to robotics engineering?
Robotics autonomy depends on models and data. You may support data labeling, QA evaluation, prompt evaluation for LLM-based planning tools, and human feedback loops to improve model behavior and reduce safety-critical errors.
Q: What skills should I emphasize to match this job intent?
Emphasize ROS2, Python, C++, motion planning, SLAM, sensor fusion, computer vision, control systems, simulation (Gazebo/Isaac Sim), Docker, and CI/CD, plus metrics-driven evaluation and dataset workflows.
Q: What employer types hire for these robotics roles on Rex.zone?
Common employers include AI labs, tech startups, robotics product companies, and engineering teams that build autonomy systems, computer vision stacks, and safety-focused deployment pipelines.

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