The engineer will design, develop, and test algorithms for the MAG AMR software stack, focusing on navigation, SLAM, and state machine behavior. They will also maintain software security, conduct code reviews, and support on-site robot deployments and field testing.
Candidates must hold a Bachelor's or Master's degree in Computer Science, Computer Engineering, Mechatronics, or a related field. Strong proficiency in C++, Python, ROS/ROS2, and experience in Linux development environments are required.
Job Details
Job Type: FULL TIME
Visa Sponsorship: No
Education: bachelor degree, postgraduate degree
Work Arrangement: On-site
Experience Level: 2 - 5 years
Hours: 40 hrs/week
Language: English
Benefits
Comprehensive health benefits packageProfessional developmentGrowth opportunities
We are seeking a Robotics Software Engineer who is passionate about building intelligent autonomous systems and solving complex real-world engineering challenges. You thrive in fast-paced environments, take ownership of technical problems from diagnosis to deployment, and enjoy working across software, hardware, and product teams to deliver reliable solutions.
If you enjoy seeing your code operate on real robots in live industrial environments and want to contribute to the future of autonomous mobile robotics and industrial automation, this role offers an opportunity to build technology with tangible, large-scale impact.
What Success Looks Like
3 months:
Onboarded onto the MAG AMR stack — codebase, tooling, and CI/CD pipelines understood
First bug fixes and minor features shipped independently
Actively contributing to code reviews with useful, constructive feedback
Comfortable running field tests and interpreting robot behaviour in real environments
6 months:
Owns and ships at least one significant module — navigation, SLAM, or state machine
Measurable improvement to navigation or localization performance on live deployments
Trusted to debug complex runtime issues end-to-end with minimal escalation
Cross-team collaborator — hardware, software, and product teams rely on your input
12 months:
Driving architectural decisions on core AMR software components
Algorithms you've built are running reliably in production deployments at scale
Recognised as a go-to expert in at least one robotics domain (nav, SLAM, or controls)
Mentoring junior engineers and raising the quality bar across the team
The key responsibilities includes:
Design, architect, develop and test algorithms for the MAG AMR software stack
Optimize navigation algorithms - improved planning, path tracking, and motion control
Develop SLAM algorithms to support MAG AMR's mapping and localization requirements
Design and implement AMR state machine behaviour and robust error handling mechanisms
Maintain secure, up-to-date software through vulnerability assessments
Write and maintain clear, thorough documentation of the codebase and development activities
Conduct peer code reviews and actively uphold engineering best practices
Collaborate with cross-country teams to debug, iterate, and ship reliable solutions
Support on-site robot deployments and field testing when required
Partner with the product team to keep user documentation accurate and current
Bachelor's or Master's degree in Computer Science, Computer Engineering, Mechatronics, or equivalent
Strong C++ and Python skills - you write code that is clean, efficient, and maintainable
Hands-on experience with ROS / ROS2
Comfortable on Ubuntu / Linux development environments
Demonstrable real-world robotics experience - building one is a significant plus
Sharp problem-solving instincts: you identify root causes, not just symptoms
Self-starter who runs independently and learns fast on the job
Bonus: end-to-end system knowledge spanning mechanical, electrical, and software
Competitive salary
Comprehensive health benefits package
Hustle of a young startup, always something to do and something to improve
Opportunities for professional development and growth into management roles
Collaborative and inclusive work environment
About Botsync
Botsync delivers innovative no-code automation solutions and autonomous mobile robots to streamline intralogistics processes, enabling rapid transition from manual to automated operations.
Deep LearningRoboticsLogistics AutomationManufacturing AutomationAutonomous Mobile RobotsMobileRoboticswarehouse automationRobotics Interoperabilityand Multi Agent Systems