Location : (On-site) Eveleigh, Sydney, Australia

Employment Type : Full-Time

TLDR

• Build autonomous systems from the ground up — design and implement navigation, motion planning, and decision-making algorithms for diverse robotic platforms including drones and ground vehicles
• Bridge hardware and AI — integrate sensors, cameras, and edge compute with ML models to create real-world intelligent systems
• Ship in the field — develop simulation and testing frameworks, then validate performance through hands-on field testing and deployment
• 5+ years in robotics software — strong Python/C++ skills with experience in computer vision, robotic control, or edge computing on physical platforms
• Australian working rights required — role involves fieldwork and travel with robotic systems
• Join an exciting startup backed by globally recognised investors at the bleeding edge of physical AI

About Us The way humans use robots is broken. Modern problems demand more robots than we have operators. Every drone, ground vehicle, and maritime system requires dedicated training, manual control, and constant oversight. One operator per robot. One pilot per mission.

Breaker's AI agent breaks this constraint. Our technology turns any robot into a truly autonomous, self-organizing teammate. Operators command and query teams of robots through natural language conversations over the push-to-talk radios they already carry, no laptops, no controllers, no additional gear.

Instead of manually flying search patterns across three different screens, you say, "survey this area and flag anything unusual." The robot team figures out how to divide the task, coordinate their movements, and report back what matters.

We're fundamentally changing the operator-to-robot ratio. Small teams become force multipliers. Our software deploys directly onboard each robot, enabling real-time, intent-driven control even in contested environments with limited bandwidth. We're solving problems most AI companies never touch: sub-second inference on edge hardware with strict latency, power, and connectivity constraints.

We're backed by some of the best investors globally and growing our team across Austin, Texas, and Sydney, Australia. We're a small team of experienced engineers moving fast on technology that will define how humans and machines work together for decades to come.

Join us if you want to help build the robots we were promised 🤖 About The Role We are seeking a Robotics Software Engineer to design and develop software features for a diverse range of robotic systems. In this role, you'll work with the hardware team to integrate sensors and collaborate with the Machine Learning team to develop and train AI models.

You will take an active role in field testing, ensuring systems perform reliably in real-world environments, while also engaging with partners to integrate solutions into their platforms. Responsibilities include driving critical product development cycles, creating mission-specific autonomous agents, and maintaining processes for simulation, testing, and evaluation.

Key Responsibilities

• Design, implement, and optimise algorithms for autonomous navigation, decision-making, and motion planning in robotic systems.
• Work alongside the machine learning team to build solutions that enhance robot adaptability and performance in dynamic environments.
• Create teaming strategies and algorithms for a variety of agent-driven robotic systems. Develop, utilise, and maintain simulators and hardware-in-the-loop systems for software development, testing, and optimisation.
• Actively participate in field testing to validate system performance in real-world environments.

About You Required Skills and Experience

• Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, or a related professional field

Preferred Skills

• Familiarity with ROS/ROS2 development
• Experience with CUDA or NVIDIA Jetson platforms
• Knowledge of database systems
• Hands-on experience with UAVs or similar robotic platforms
• Understanding of Internet of Things (IoT) devices
• Prior experience working in small, collaborative teams
• Proficiency in real-time operating systems (RTOS)
• Solid verbal and written communication skills
• Excellent problem-solving capabilities

Why Join Us? You'll be an owner, not a renter. We're at the stage where foundational decisions are still being made and entire systems need to be built from scratch. Your work won't be maintaining someone else's legacy - you'll be creating what comes next. The problems you solve and the systems you build will define how Breaker scales.

You'll work with people who've done this before. Our team has shipped production robotics systems, scaled infrastructure, and solved the kind of hard integration problems that only come up when software meets the physical world. You won't be the only person in the room who's debugged a sensor fusion pipeline or optimized inference on a Jetson.

You'll solve problems that don't exist anywhere else. Most companies are building incremental improvements on established technology. We're defining new categories - which means the work is harder, more ambiguous, and infinitely more interesting.

You'll work hard, together. We're in the office every day, grinding on hard problems alongside great people. We've built a workspace where the best work happens - access to hardware, quick decisions, real collaboration. We're flexible when life requires it, but we're looking for people who want to show up, get stuck in, and build something significant with a team they respect.

We're going global. Backed by globally recognised investors, we're growing teams across Sydney, Australia and Austin, Texas. If you want exposure to international expansion and the opportunity to help build across regions, that path exists here.

You'll own what you build. Generous equity packages mean when Breaker wins, you win.

Location. Cicada Innovations, Eveleigh, Sydney, Australia (National Innovation Centre)

Ready to apply? If you're excited about the opportunity to work at the bleeding edge of physical AI, we'd love to hear from you.