Autonomous Robotics Jobs

Autonomous robotics jobs focus on designing, testing, and deploying robot systems that perceive, plan, and act in real-world environments using sensors, SLAM, perception, and controls. On Rex.zone, this remote, full-time role supports end-to-end autonomy workflows—from simulation and data collection to navigation stacks, safety constraints, and performance evaluation—across domains like mobile robots, drones, and warehouse automation. You will collaborate with engineering teams to improve localization accuracy, motion planning reliability, and on-robot software quality while maintaining rigorous QA, telemetry analysis, and system validation practices.

Autonomous Robotics Jobs

About the Role

You will contribute to autonomous robotics development by improving perception-to-action pipelines, validating navigation behavior, and supporting deployment readiness for real-world robot operation. The work spans robotics software engineering (ROS2 nodes, tooling, and integration), evaluation of autonomy performance (localization drift, obstacle avoidance, recovery behaviors), and robust QA practices across simulation and hardware logs. This role is remote and full-time via Rex.zone, collaborating with cross-functional teams to deliver measurable autonomy gains and safer robot behavior.

Key Responsibilities

Own and improve autonomy components such as localization, mapping, perception integration, and motion planning; build and maintain evaluation harnesses for repeatable tests in simulation and log replay; analyze telemetry, bag files, and sensor logs to diagnose failures and regressions; tune SLAM and sensor fusion parameters for stability across environments; collaborate on safety validation, edge-case handling, and operational constraints; write clean, tested code in C++/Python and contribute to ROS2 packages; document system behavior, test plans, and release readiness criteria.

Required Qualifications

Professional experience with robotics software stacks and autonomy evaluation; strong programming ability in C++ and Python; experience with ROS2, message/transform systems, and tooling (rosbag, rviz); working knowledge of SLAM, localization, sensor fusion, and state estimation; familiarity with motion planning and navigation concepts (costmaps, trajectories, collision checking); ability to debug systems using logs, metrics, and reproducible test cases; comfort working remotely with clear documentation and asynchronous collaboration.

Preferred Qualifications

Experience with simulation environments such as Gazebo or Isaac Sim; exposure to computer vision pipelines for robotics (camera models, calibration, feature tracking, depth); hands-on experience with LiDAR and camera sensors, time synchronization, and calibration; familiarity with embedded Linux and real-time constraints; knowledge of robotics safety practices, hazard analysis, and validation methods; experience shipping autonomy features to production robots in warehouse, delivery, inspection, or drones.

Tools and Workflows You Will Use

ROS2-based development, modular autonomy stacks, CI-driven testing, simulation-first validation, log replay and scenario testing, metrics dashboards for autonomy KPIs, and structured QA workflows for regression prevention. You will work with sensor datasets, bag files, calibration outputs, map artifacts, and navigation parameter sets, ensuring reproducible experiments and clear versioning for deployments.

What Success Looks Like

Within the first 30 days, you can run the autonomy stack locally, reproduce issues from logs, and contribute fixes with tests. By 60 days, you improve core KPIs such as localization stability, obstacle handling, or navigation success rate through targeted tuning and code changes. By 90 days, you reliably ship validated autonomy improvements, strengthen evaluation coverage for edge cases, and help standardize QA gates for safer robot behavior.

Why Work With Rex.zone

Rex.zone connects engineers to remote, full-time work on real autonomy programs across tech teams building robots for logistics, mobility, and industrial automation. You will work in production-oriented robotics workflows with clear performance metrics, strong engineering practices, and opportunities to deepen expertise in SLAM, perception, planning, controls, and system validation.

How to Apply

Apply through Rex.zone with your resume and a brief summary of your robotics autonomy experience, including examples of ROS2 work, SLAM/perception/planning projects, and how you evaluate robot performance using logs, simulation, and test plans.

Frequently Asked Questions

Q: Is this role remote?
Yes. The role is marked Remote and is designed for distributed collaboration, including asynchronous development, documentation, and scheduled engineering reviews.
Q: Is this job entry level or mid-senior?
This posting is targeted at Mid-Senior experience level, with expectations to independently debug autonomy systems, ship production-ready improvements, and contribute to evaluation and QA practices.
Q: What types of autonomous robotics domains does this cover?
Common domains include mobile robots, warehouse automation, delivery robots, and drones. Work typically involves navigation, localization, perception integration, and safety validation across changing environments.
Q: What are the most important skills for autonomous robotics jobs?
Core skills include ROS2, C++/Python, SLAM/localization, sensor fusion, motion planning/navigation, log-based debugging, simulation testing, and disciplined QA for regressions and safety constraints.
Q: Do I need hardware access to succeed in a remote robotics role?
Not always. Many teams rely on simulation, recorded sensor logs (bag files), scenario testing, and metrics-driven evaluation. Some programs may provide remote access to hardware test results and deployment telemetry.
Q: What does the interview process typically focus on?
Expect evaluation of robotics fundamentals (state estimation, coordinate frames, planning), hands-on debugging approach with logs/metrics, code quality in C++/Python, ROS2 system design, and how you validate autonomy performance and safety.

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