Robotics Engineer Jobs Dominican Republic

Robotics Engineer roles in the Dominican Republic focus on designing, integrating, and validating robotic systems across perception, motion planning, controls, and embedded software. On Rex.zone, these remote full-time jobs connect candidates to real-world robotics workflows such as sensor fusion, SLAM, ROS/ROS2 development, simulation-to-real transfer, and safety-focused QA testing. You will collaborate with cross-functional engineering teams to improve robot performance, reliability, and deployment readiness, using structured experiments, test automation, and production-grade software practices. Explore Robotics Engineer Jobs Dominican Republic on Rex.zone to find Remote, Contract, Freelance, Full-Time, Entry-Level, and Senior opportunities across autonomous systems, industrial robotics, and AI-powered robotics platforms.

Robotics Engineer Jobs Dominican Republic — LinkedIn Job Metadata

Title: Robotics Engineer Jobs Dominican Republic 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 Engineering, ROS2, Robot Operating System, Motion Planning, Control Systems, SLAM, Sensor Fusion, Computer Vision, Path Planning, Embedded Systems, C++, Python, Gazebo, Simulation, Real-Time Systems, PID Control, Kalman Filtering, Robotics QA Testing Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR

About the Role

You will design and deliver robotics features end-to-end, spanning perception, localization, planning, and controls. The work includes building ROS/ROS2 nodes, integrating sensors (camera, LiDAR, IMU), implementing SLAM and sensor fusion pipelines, and validating behavior in simulation and real hardware. You will also own test plans, performance benchmarks, and safety-oriented QA evaluation to ensure reliable deployments.

Key Responsibilities

Develop and maintain ROS/ROS2 software components for perception, planning, and control. Implement and tune control systems (e.g., PID, MPC concepts) for stable robot behavior and trajectory tracking. Build localization and mapping workflows using SLAM, sensor fusion, and filtering (e.g., EKF/UKF, Kalman filtering). Integrate computer vision pipelines for object detection, tracking, and scene understanding in robotics contexts. Create simulation-first development loops (Gazebo/Isaac/other) and support simulation-to-real validation. Design experiments and benchmarking to measure latency, accuracy, drift, collision rate, and recovery behavior. Write automated tests, hardware-in-the-loop tests, and regression suites for robotics QA evaluation. Collaborate with mechanical, electrical, and product teams to translate requirements into deployable features. Improve code quality through documentation, code review, and CI/CD practices suitable for real-time systems.

Required Qualifications

Mid-Senior experience in robotics engineering, autonomous systems, or mechatronics software. Strong programming skills in C++ and Python for production robotics development. Hands-on experience with ROS/ROS2, message passing, TF frames, and robot state estimation. Knowledge of motion planning, path planning, kinematics, and control systems fundamentals. Experience with SLAM, sensor calibration, sensor fusion, and filtering for localization. Practical understanding of computer vision for robotics (e.g., camera models, feature tracking, perception stacks). Ability to design QA evaluation methods for robotic behavior, reliability, and safety constraints. Comfort working remotely with clear documentation, asynchronous communication, and measurable deliverables.

Preferred Qualifications

Experience deploying robots in production environments (warehouse, logistics, inspection, manufacturing, service robotics). Familiarity with real-time constraints, embedded systems, and performance optimization on edge hardware. Experience with depth sensing, LiDAR processing, point clouds, and 3D perception. Background in safety standards, fail-safe behavior design, and operational risk mitigation. Experience with modern ML in robotics (e.g., policy learning, perception models, simulation data generation).

Remote Work and Collaboration

Remote Type remains Remote for this role; you will work with distributed engineering teams via structured sprints. Clear acceptance criteria, testable milestones, and written design docs are used to align across time zones. You may collaborate with AI labs, tech startups, and robotics vendors supporting end-customer deployments.

How to Apply on Rex.zone

Search: Robotics Engineer Jobs Dominican Republic on Rex.zone. Review Remote, Full-Time, Contract, and Freelance options based on your preferences. Submit your profile highlighting ROS/ROS2, SLAM, motion planning, controls, and robotics QA evaluation experience. Prepare to discuss past deployments, simulation-to-real validation, and reliability metrics.

Frequently Asked Questions

Q: Is this role remote and full-time?
Yes. The Remote Type is Remote and the Employment Type is FULL_TIME, aligned with the posting metadata.
Q: Why does the page target "Robotics Engineer Jobs Dominican Republic" if the country field shows US?
The SEO keyword targets Dominican Republic job searches, while the metadata country field remains set to the provided default value (US) per the strict rules.
Q: What robotics stacks are most relevant for these jobs?
Common stacks include ROS/ROS2, SLAM and sensor fusion pipelines, motion planning, control systems, computer vision, and simulation environments such as Gazebo, with strong C++/Python development practices.
Q: What does QA evaluation mean in robotics engineering?
It includes test plans, automated regression tests, simulation scenarios, hardware-in-the-loop validation, performance benchmarks, and safety checks to ensure the robot behaves reliably across edge cases.
Q: Are there other job modifiers covered on Rex.zone besides full-time remote roles?
Yes. Rex.zone commonly includes Remote, Contract, Freelance, Full-Time, Entry-Level, and Senior roles across domains like computer vision, embedded systems, SLAM, and broader AI/ML robotics.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

Industry-Leading Compensation

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated - it's properly compensated.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks - we handle the rest.

Respect at the Core of Everything

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

Ready to Shape the Future of Engineering?

Apply Now.