R&D Test Engineer — MedTech Eye-Tracking & AI

Helen Danesh-Meyer; Auckland; On-site; NZD 70,000 - 110,000; Full time

Job summary

EyeSpy Neuro, a New Zealand medical technology start-up, seeks a recent Master’s or PhD graduate to join the R&D team. You will work on eye-tracking hardware, software and clinical data, testing and improving the platform, analyzing eye-movement data and ensuring robust performance.

You will collaborate with engineers, scientists and clinicians, exploring signal processing, algorithm development and potential publications in a small multidisciplinary team.

Qualifications

• Recent Master’s or PhD graduate in relevant engineering/science fields.
• Experience with Python, MATLAB or similar.
• Interest in signal processing or sensor data.
• Rigorous approach to testing and detail.
• Interest in medical technology or neuroscience.
• Ability to work independently in a small team.

Responsibilities

• Analyse high-frequency eye-tracking signals and artifacts.
• Develop quantitative methods for saccades, fixation and ocular motility.
• Design software/hardware test protocols and automation.
• Test new releases against requirements and report results.
• Evaluate accuracy, reliability and reproducibility.
• Identify bugs and coordinate with developers to resolve them.
• Contribute to device verification, validation and regulatory docs.
• Collaborate with clinicians and researchers for real-world evaluation.

Skills

Quantitative skills

Python MATLAB

Signal processing

Testing rigor

Independent work

Education

Master's degree (NZQA Level 9)

PhD (Level 10)

Tools

MATLAB

Automated testing

Sensor data tools

Job description

EyeSpy Neuro, a New Zealand medical technology start-up, seeks a recent Master’s or PhD graduate to join the R&D team. You will work on eye-tracking hardware, software and clinical data, testing and improving the platform, analyzing eye-movement data and ensuring robust performance.

You will collaborate with engineers, scientists and clinicians, exploring signal processing, algorithm development and potential publications in a small multidisciplinary team.