Senior Autonomy Engineer

At Andromeda, we're building the social intelligence layer for humanoid robots - technology that allows robots to understand people, build relationships and become a meaningful part of everyday life.

Our first robot, Abi, is already doing this in aged care and healthcare, where she brings conversation, companionship and engagement to people every day.

Now we're scaling from early deployments into a platform that can operate across thousands of real-world environments. We're looking for individuals who want to tackle hard problems across robotics and AI, and help define what it means for robots to live and interact alongside people. 

• Empathy – Kindness and compassion are at the heart of everything we do.
• Play – Play sharpens focus. It keeps us curious, fast and obsessed with the craft.
• Never Settle – A relentless ambition, bias toward action, and uncomfortable levels of curiosity.
• Tenacity – Tenacious under pressure, we assume chaos and stay in motion to adapt and progress.
• Unity – Different minds. Shared mission. No passengers.

We are looking for a first-principles Autonomy Engineer to solve one of the hardest challenges in robotics: enabling our robot, Abi, to navigate safely and gracefully alongside people. This role goes beyond simple A-to-B navigation, and the work will directly shape the future of Andromeda autonomy stack. You will be responsible for improving the capabilities of the autonomy stack from a safety, reliability, and usability standpoint. This is a hands-on senior role centre on safety-critical systems, fault tolerance, and resilient autonomy in demanding human-centric environments. As such engineering excellence, safety, and reliability sit at the heart of everything you do.

This is a chance to build a production-grade autonomy stack from the ground up and ship a product that has a meaningful impact on people's lives.

• Build and Maintain Foundational Autonomy: You will design, implement, and maintain the foundational autonomy stack of Abi. This will involve working on path planning, SLAM, collision avoidance, and incorporating classification signals from the perception stack to help make foundational autonomy decisions.
• Production Deployed Foundational Autonomy: You will help harden the deployed autonomy stack. Build, develop and execute tests on software, hardware and integrated systems. 
• Maintaining a Fleet of Autonomous Systems: You will help with maintaining a large fleet of Abis in a customer environment. You will help with improving the operational process of deploying Abi to different production environments. You will have to perform customer site visits to test and validate developed features.
• Hardware Integration: You will regularly have to be hands-on with Abi - debugging  the sensors and effectors for root cause analysis, as well working with hardware to make specific sensor recommendations and debug issues down to the hardware layer. 
• Improving User Experience: You will work on improving the overall user experience of using the autonomy systems. This will range from interfacing the autonomy stack with cloud infrastructure to interfacing the autonomy stack with the robot front end.
• Systems Engineering: You will be working on a robotics platform which has multiple internal and external consumers, bringing rise to requirements gathering. This will involve you having to follow the full product development lifecycle.
• Simulation & Validation: You will build and maintain high-fidelity simulation scenarios in IssacSim to test foundational autonomy end to end, ensuring our software is validated in simulation before it is deployed to hardware.
• Effective Technical Communication and Leadership: You will have to communicate complex technical ideas, lead cross-functional discussions, and work on projects between multidisciplinary teams.

In the first 90 days, you will understand Abi’s autonomy stack, how Abi behaves in the field, and where the reliability and safety risks sit - and you will be shipping improvements to the edge software with confidence. You will also gain an understanding of areas of Abi’s usability that can be improved with the autonomy stack.

Over the first 12 months, success means the edge software is more reliable, safer, and easier to debug in the field: safety mechanisms you can trust, incorporation of perception signals for core decision making in human-centric environments, and improved test and observability frameworks. Success also entails significantly enhanced usability of autonomy-enabled Abi’s in the customer sites, alongside a more robust and streamlined production deployment pipeline.

• Deep Expertise in Robotics: You have 5+ years of experience working on the motion planning, prediction, or behaviours stack for autonomous vehicles, mobile robots, or a similar domain. You have experience deploying ML based autonomy solutions in a production environment.
• Strong Algorithmic Foundation: You have deployed and tuned modern robotics algorithms in a production environment. You have a deep understanding of classical control as well as modern ML based algorithms.
• Production Software Engineering: You have a proven ability to ship robust, high-quality code in modern C++ and are proficient with Python for tooling and data analysis. Experience with large-scale, performance-critical, distributed software systems is essential. 
• First-Principles Thinking: You are skilled at breaking down complex, ambiguous problems into clear, solvable components. You are comfortable building systems from scratch and can reason about them from a fundamental physics and mathematics perspective.
• Full-Stack Robotics Exposure: You understand how your components interact with the entire robotics system, everything from perception through policy to actuation.
• Startup Experience: You have previously worked in a startup and are able to wear multiple hats. You are a self starter and are able to problem solve with ambiguous requirements.

• Experience working with Nix based systems
• Experience with ROS/ROS2
• Experience with developing and deploying AI based features for autonomous systems
• Experience with optimising software for edge compute
• Experience with working on Jetson based systems
• A background in formal verification or safety-critical systems engineering.
• Experience building and scaling data infrastructure (e.g., fleet logging, event-triggered data collection, and automated evaluation).
• You have worked with deployed ground autonomous vehicles before
• You have developed and utilised a simulation framework before
• You have experience with computer vision based navigation systems

The salary for this position may vary depending on factors such as job-related knowledge, skills, and experience. The total compensation package may also include additional benefits or components based on the specific role. Details will be provided if an employment offer is made. 

If you’re excited about this role but don’t meet every requirement, that’s okay … we encourage you to apply. At Andromeda Robotics, we celebrate diversity and are committed to creating an inclusive environment for all employees. Let’s build the future together.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Please note: At this time, we are generally not offering visa sponsorship for this role.