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Job summary

Imitation Machines is seeking entry-level Software Engineer Interns in Sydney, Australia to build a real-time interface for human-robot interaction and to integrate it with cutting-edge learning algorithms. The role involves setting up simulation frameworks, developing robot integration software, and collecting demonstration data.

You will work closely with the founding team and gain exposure to a deep-tech startup environment, with remote/hybrid options for Australia-based candidates.

Qualifications

• Strong intuition of good code and software architecture.
• Familiarity with robotics software and control algorithms.
• Experience with robotics simulators MuJoCo, Isaac Sim, Gazebo.
• Experience with ROS/ROS2.
• Efficient code development and deployment practices.
• Self-driven builder mentality.

Responsibilities

• Build a real-time interactive interface for human-robot interaction.
• Integrate with learning algorithms and simulation data.
• Set up robot simulation frameworks and tooling.
• Develop software for robot integration and data collection.
• Collaborate with founding team and mentor interns.

Skills

Robotics software knowledge

Control algorithms

Efficient coding

Self-motivation

Tools

MuJoCo

Isaac Sim

Gazebo

ROS/ROS2

Job description

Robotics Software Engineer Internship – Sydney, Australia

Imitation Machines is looking for enthusiastic intern(s) to step into the role of a Robotics Software Engineer. We need people with passion and knowledge of building custom software for robotic pipelines, wrangling with simulators and integration with physical robot hardware of various forms. The crux of the role is to build a real‑time interactive interface for human-robot interaction and integrate it with Imitation Machines’ learning algorithms.

The scope of work includes setting up robot simulation frameworks, developing software for robot integration and human demonstration data collection, and developing the supporting code base. You will be working closely with and mentored by the founding members of the team. Joining at this early stage will allow you to play a key role in shaping the technical layer of Imitation Machines and take part in the daily life of a deep tech startup.

What we’re looking for

• Strong intuition of what good code and good software architecture should look like
• Familiarity with robotics software / control algorithms
• Knowledge of and some experience with robotics simulators (MuJoCo, Isaac Sim, Gazebo)
• Experience with ROS/ROS2
• Efficient code development and deployment practices
• Self‑driven builder mentality – experimenting, making things happen, thriving on challenges, and breaking new ground

Position details

• Level: Entry‑level / Internship
• Type: Part‑time
• Length of engagement: 6 months or more (not shorter)
• Minimal time commitment: 2 days / week
• Compensation: Entry‑level / intern‑level part‑time salary
• Remote work: Theoretical, algorithms, and in‑simulation work can be done remotely and we do consider fully remote candidates. While based in Sydney is preferred for hardware testing and integration, we welcome strong interstate candidates. This is a remote / hybrid position for candidates based in Australia, if you are outside Australia please apply elsewhere.
• Primary location: Sydney, Australia

Notes

Imitation Machines is open to and welcomes collaborations with universities.

About Imitation Machines

Imitation Machines has an ambitious goal of bringing the latest advances in Imitation and Reinforcement Learning, Robotics and AI into an integrated platform that enables any user worldwide to create new and custom behaviors. We want this future to happen. By teaching robots through demonstration, we can radically accelerate the process and start building systems where robots are taught by human teachers.

We take a practice‑first approach: real‑world robot deployments with our industry partners guide our research and development. By working directly with industries, robot developers, and system integrators, we position ourselves at the frontier of practical imitation learning.

Imitation Machines is a pre‑seed funded startup moving quickly toward our next milestone. We are laser‑focused on proving our vision and building a team of machine learning and robotics engineers who want to push the boundaries of what’s possible.

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