Robotics Jobs Montevideo

Robotics jobs in Montevideo on Rex.zone focus on engineering work across autonomous systems, robot software, perception, and controls—delivered through remote, full-time roles that support real-world robotics development and AI/ML training workflows. You will help build and validate robot behaviors, integrate sensor data, and improve system reliability using simulation, testing, and quality assurance. Teams may include AI labs, tech startups, and robotics vendors working on navigation, manipulation, fleet operations, and safety. Explore Remote, Full-Time, Contract, Freelance, Entry-Level, and Senior opportunities spanning ROS/ROS2, SLAM, computer vision, and model evaluation pipelines.

Robotics Jobs Montevideo

About the Role

As a Robotics Engineer, you will design, implement, and validate robot capabilities for autonomous systems in a remote, full-time setting. Your work will include perception and localization (e.g., SLAM, sensor fusion), planning and control (trajectory generation, PID/MPC concepts), and reliable integration with ROS2. You will collaborate with cross-functional teams to improve navigation and manipulation performance through simulation, on-robot testing, and data-driven iteration. Where applicable, you will contribute to AI/ML training pipelines by curating sensor datasets, reviewing model outputs, and defining evaluation criteria that improve model performance and system safety.

Key Responsibilities

Build and maintain ROS2 nodes, services, and message pipelines for robotic behaviors; implement localization and mapping workflows using SLAM and sensor fusion; develop motion planning and control modules and tune controllers for stability and responsiveness; integrate cameras, LiDAR, IMU, and wheel odometry with robust timestamping and calibration; create simulation-based test plans in Gazebo (or similar) and automate regression testing; define QA evaluation metrics for autonomy (success rate, collision rate, drift, latency) and drive model performance improvement; collaborate on dataset curation for perception and autonomy, including labeling policies and annotation guidelines compliance when needed; diagnose field issues using logs/telemetry, reproduce failures, and ship fixes with clear documentation; support safety validation, edge-case testing, and reliability engineering for production robotics.

Required Qualifications

Mid-Senior experience shipping robotics software or autonomy features; strong Python and C++ skills for real-time and systems programming; hands-on ROS/ROS2 experience (launch, TF, nav stacks, bagging, diagnostics); solid understanding of kinematics, control basics, and motion planning concepts; practical experience with computer vision or perception pipelines and sensor fusion; proven testing discipline including simulation, unit/integration tests, and QA evaluation; ability to write clear engineering docs and communicate across engineering, product, and operations.

Preferred Qualifications

Experience with SLAM backends, loop closure, and map management; familiarity with navigation stacks, costmaps, and obstacle avoidance; experience with fleet management, multi-robot coordination, or autonomy monitoring; exposure to AI/ML workflows such as prompt evaluation, model evaluation, and training data quality processes; knowledge of safety practices (hazard analysis, safety cases) and validation strategies; experience working with robotics vendors, annotation vendors, or BPO-style operations supporting data labeling and QA evaluation.

Tools and Workflows

ROS2, Python, C++, Linux, Git-based CI/CD, Gazebo simulation, logging/telemetry, reproducible experiments, test automation, and structured QA evaluation. Depending on the team, you may also interact with computer vision annotation tools, content safety labeling policies for robotics vision streams, and structured evaluation protocols that mirror large language model evaluation rigor for autonomy decision-making.

How to Apply

Apply via Rex.zone and include a resume highlighting robotics systems you shipped, ROS2 modules you owned, and measurable outcomes (navigation reliability, latency reduction, collision reduction, or test coverage gains). If you have repos, demos, or papers, add links.

Frequently Asked Questions

Q: Is this a remote role?
Yes. The Remote Type is Remote, and the position is designed for distributed engineering teams collaborating through structured development and testing workflows.
Q: Why does the page say Montevideo if the country is US?
The keyword targets "Robotics Jobs Montevideo" for search intent and job discovery, while the job metadata reflects the configured posting details (Country: US) and the role is Remote.
Q: What types of robotics work are included?
Typical scopes include ROS2 integration, SLAM and localization, computer vision perception, sensor fusion, motion planning, control, simulation, QA testing, and safety validation for autonomous systems.
Q: Do I need ROS2 experience?
ROS2 experience is strongly preferred for this role because it is commonly used for robotics middleware, messaging, and integration across perception, planning, and control.
Q: How does this connect to AI/ML training workflows?
Many robotics teams improve autonomy by curating training data, running QA evaluation, and measuring model performance improvement. This can include dataset reviews, annotation guidelines compliance, and structured evaluation similar to RLHF-style feedback loops, adapted to robotics perception and decision systems.
Q: What employment type and experience level is targeted?
Employment Type is FULL_TIME and Experience Level is Mid-Senior.
Q: What is the salary range?
The salary range is 63360 to 126720 USD per year, based on the provided Salary Min/Max and Pay Period: YEAR.

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