Senior Software Engineer
Senior individual contributor on the Capture team building Cortex, the control software behind Emesent's LiDAR scanners and autonomous drones. Day to day: designing core C++20 modules (navigation, mapping, perception), writing Python tooling, and owning testing, CI/CD, and deployment on Linux, Docker, GitHub, and AWS, with mentorship and field-trial validation.
- Compensation
- Not disclosed
- Location
- Brisbane, QLD
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of professional software engineering experience
- Strong proficiency in C++ (C++20 or later) and Python 3
- Working knowledge of Bash
- Experience with the GitHub ecosystem and AWS deployments
- Familiarity with build systems, CI/CD pipelines, and containerised development (Docker)
- Strong track record of automated testing and writing robust, extensible code
- Track record working with Linux-based systems
- Degree in Computer Science, Software Engineering, Robotics or related field, or equivalent practical experience
Nice to have
- Exposure to robotics or embedded systems
- Familiarity with middleware such as ROS1/ROS2
- Experience with robotics simulation pipelines such as Gazebo or Isaac Sim
- Familiarity with robotics concepts such as SLAM, sensor fusion, path planning, or control systems
- Familiarity with LiDAR, IMU, or multi-camera systems
- Experience in agentic engineering, from design to coding
Full description
Our Mission: To Be Bold and Impactful
At Emesent, we build autonomous robotics, LiDAR mapping, and spatial data technologies that are transforming the way industries understand and interact with the physical world. Founded in 2018 with deep roots in Australia's globally recognised CSIRO, Emesent has become a global leader in drone autonomy and mobile mapping solutions.
With a rapidly growing international customer base and expanding product portfolio across hardware, desktop software, and cloud platforms, we are entering an exciting new phase of growth and we're looking for engineers who want to help shape what comes next.
The Opportunity
Cortex is the software and control architecture at the heart of every Emesent scanner. It's what takes you from handheld mapping all the way to autonomously controlling robotic systems connected to it. As a Senior Software Engineer on the Capture team, you'll focus on the software engineering craft that makes Cortex robust and reliable: sound architecture, high-quality code, strong automated testing, and smooth deployment.
You'll work hands-on across the stack with a strong focus on the software architecture and deployment of the robotics Cortex stack, from low-level C++ modules to the Python tooling that supports development work, testing, tuning, and deployment. This is a senior individual contributor role reporting to the Capture Engineering Manager, where we're looking first and foremost for depth in software engineering.
Key ResponsibilitiesSoftware Design & Architecture
- Apply SOLID software engineering and architectural principles across the Cortex stack
- Contribute to and help evolve the software architecture so it remains scalable, maintainable, and extensible as the platform and team grow
- Design, implement, and maintain core Cortex modules, including domains such as hardware interface, navigation, mapping, and perception
- Make sound technical trade-offs and drive design decisions that keep the stack reliable as it scales
Software Development
- Write production-quality C++ for performance-critical components
- Build supporting tools, test harnesses, and analysis scripts in Python
- Use Bash for scripting and automation across development and deployment workflows
- Develop software in Linux-based systems
Testing, Deployment & CI/CD
- Own and expand automated testing and regression pipelines to keep the stack reliable as it grows
- Build, maintain, and improve CI/CD pipelines and containerised development workflows (Docker)
- Deploy and integrate software using the GitHub and AWS ecosystems