Mechatronics Engineer - AI

Mechatronics Engineer - AI

Rocket Lab is a global leader in launch and space systems. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations.

Join our pioneering team and launch your career to new heights!

About The Role

Based on-site at Rocket Lab's Auckland, NZ facility, the Mechatronics Engineer AI is responsible for developing impactful AI solutions, designing scalable prototypes, and integrating AI with mechanical and electrical systems. You'll join a collaborative team running rapid experiments to identify the most promising AI use cases, while developing robust, scalable infrastructure that supports the whole organization to leverage AI.

What You'll Get To Do

• Design and develop mechatronic systems integrated with AI algorithms and automation logics
• Conduct rigorous testing of hardware-software integrations and iterate based on insights gained from data.
• Collaborate with diverse cross-functional teams to design, develop, test, and deploy AI-enabled mechatronic systems.
• Design and deploy machine learning models to enhance integrated mechatronic systems.
• Build and maintain robust in-house AI infrastructure and data pipelines for seamless system integration.

You'll Bring These Qualifications And Skills

• Bachelors or Masters degree and 3+ years of experience in Mechatronics Engineering, Robotics, Electrical Engineering, or a related field.
• Proven experience integrating AI and machine learning algorithms into hardware systems.
• Familiarity with embedded systems and modern programming languages (e.g., Python, C/C++).
• Excellent communication skills, with the ability to translate technical concepts for diverse audiences.

These Qualifications Would Be Nice To Have

• A creative problem-solver with a passion for leveraging data to drive high-impact decisions.
• Proven experience spearheading interdisciplinary projects to drive rapid innovation and iterative testing.
• Relevant certifications in AI, robotics, or aerospace engineering, as well as a history of staying ahead of industry trends through continual education.
• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and real-time algorithm deployment.

If the above sounds like you apply now!