Engineering Assistant - Data & Test | Canberra, ACT
|Position Type:||Full Time|
|Attachments:||No File Attached|
|Application Close Date:||10-Dec-2021|
Understanding human beings is the ultimate challenge for effective human machine interaction. Our goal is to design human sensing technology to address real-world driving behaviours to make the world a safer, smarter place for drivers and the wider community.
Seeing Machines is engaged in a multitude of programs at the forefront of innovation, being delivered by highly skilled engineers and scientists. These programs require world-class Engineers to support the successful design, development, and integration of Seeing Machines DMS technology for customers across the world. The Data Acquisition Team as a part of the Test Engineering Department provides vital assistance to the Innovation Team and other engineering groups.
As an Engineering Assistant, you will be responsible to support Engineers within various test and data activities in the delivery of class leading products.
About The Opportunity
As an Engineering Assistant, you will:
- Execute test plans in line with project release cycle.
- Support Engineers to recreate product failures for debug.
- Setup test benches for test execution according to defined guidelines.
- Collect and curate datasets according to defined data collection protocol.
- Label/Annotate data sets according to defined data annotation protocol.
- Arrange video, annotation output, work-log and other associated files according to procedural guidelines.
- Support Data Engineers in data wrangling activities according to defined protocol.
As an Engineering Assistant, you will provide support to Engineers within various test and data activities in the delivery of class leading products.
We are seeking people who have:
- Experience in using image or video editing software (e.g., Photoshop, Movie Maker)
- Understanding of digital image formats.
- Minimum year 12 school certificate.
- Excellent attention to detail.
- Ability to follow and execute defined workflows.
- Ability to maintain quality, focus and accuracy whilst performing repetitive tasks.
- Proficient in reporting problems using relevant platforms (e.g., Microsoft Office, Google G Suite, Slack, JAMA, TestRail etc.).
- Proficient in English
- Current driver licence
- Effective team player
- Good data management and/or file management skills.
- Ability to discern issues in the work process and report accordingly to the management team.
- Previous experience in video data collection, annotation and testing will be considered an advantage.
- Good interpersonal skills with a positive attitude and enthusiasm for continuous improvement.
How to apply
To apply, please include an updated resume and a cover letter outlining your interest in the role and how you could make a difference at Seeing Machines.
Seeing Machines is a world leader in driver-machine interaction. We harness human factors science to create artificial intelligence (AI) technology that observes the driver's attention – reliably, unobtrusively, and in real time – and intervenes seamlessly when necessary.
Specialised computer vision algorithms underpin Seeing Machines' core camera-based driver monitoring technology. Algorithms allow us to precisely track eye gaze, head position and pupil size while our state-of-the-art AI technology analyses the data to detect driver drowsiness quickly and accurately, distraction and microsleep levels. We work with some of the world's leading brands to deliver this technology, helping keep drivers and operators engaged across commercial transport and logistics, automotive, aviation, rail and mining industries.
The WHY of our technology
- According to the World Health Organisation, over 1.3 million people die in road accidents, globally.
- The American Automobile Association says that 1 in every 10 auto accidents in the US is fatigue related and that 25% of US car accidents are caused by distraction.
- European Commission recommends that camera-based driver monitoring technology be mandated to enhance safety in cars, vans, trucks and buses from 2022.
- Air traffic is set to double over 15 years and the world's aviation fleet is set to double in 20 years. This creates a huge demand for more pilots and air traffic management which increases pressure on training and safety frameworks for the aviation industry, globally.
- Seeing Machines' Guardian technology for commercial fleets has been scientifically proven to reduce fatigue related driver events by more than 90%.