Technical Team Manager | Canberra, ACT
|Category:||Data & Validation|
|Position Type:||Full Time|
|Attachments:||No File Attached|
|Application Close Date:||04-Jul-2019|
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.
Our Data & Validation Group helps us to realise this goal by collecting and managing large algorithm development datasets and applying their signal analysis expertise to validate the performance of our driver monitoring computer vision algorithm. The group provides vital insight into our research & development and engineering activities, and supports the delivery of driver monitoring products to our customers.
About the role
The Technical Team Manager is a new position which plays an important role in the safety and functionality of our lifesaving products. In this role you will manage a team of software and data engineers who are responsible for building and maintaining an internal framework for managing large datasets and analysing computer vision algorithm performance. You will liaise with a range of internal and external stakeholders to understand their requirements, and any interdependencies which may require consideration.
You are a proven technical manager with experience leading high performing software engineering teams. Your strong planning experience will be well utilised, as will your excellent communication skills to ensure that all interdependencies are considered and communicated, and that there is an effective interface between engineers and stakeholders.
We value the breadth and depth of experience that our people bring to their work. We are seeking people with a good mix of technical competency and personal capability. Specifically, we are looking for people with:
- tertiary qualifications in software engineering or systems engineering
- proven team and technical management experience
- experience in delivering remarkable experiences to customers
- excellent communication skills and a strong people focus
- experience communicating technical results and information to range of technical and non-technical audiences
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 quickly and accurately detect driver drowsiness, 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%.