Computing Internship – Sightdata – Project 3

This position is offered through the ANU Computing Internship (COMP3280/ COMP8830)


Nearly 10% of all jobs in Australia are in the construction industry. Currently, there are more than 1.1 million construction staff and by May 2023 this number is set to increase another 10%. The industry, however, is not safe. Over five times more construction workers die than on site compared to Australian Defence Force casualties in Afghanistan, Iraq and East Timor. Sightdata is a Canberra-based start-up using our passion and knowledge in construction and machine learning to do.

There are four internship projects on offer from Sightdata.

Project 3:   Associate Cloud Engineer

This role is to analyse and optimise Sightdata’s AWS cloud architecture for cost and latency. This AWS internship is a key role in production phase of our product. If you are successful in this application, you can expect to work on (sorry for the buzzword soup) “machine learning and IoT based cloud infrastructure for video processing.” AWS services that you will be exposed to include AWS IoT Core, IAM, Kinesis Video Streams, Fargate, ECS, Inferentia, Neruon, DynamoDB, Elasticsearch, S3 and more! The Sightdata product works by transferring camera feeds over 4G to AWS for meta-tagging, storage, ML processing, and playback. 

From day 1 you will own your work by setting up copies of our cloud environment, plan and configuring an improved environment, deploying your cloud solution and monitoring for ensuring successful operation on industrial sites. This role will prepare you for a bright (and well-paid) future with cloud providers such as AWS/GCP/Azure.    

 To find out more about AWS architectures please see:

Required technical skills

 At least one-year experience programming in Python or Java

Experience with Unix environments

Experience with deploying small AWS solutions is preferred.

Personal GitHub repos or contributions to existing open-source repos would be ideal.

Required/preferred professional and other skills

This project is aimed at students who are already comfortable with the basics of cloud computing and want to grow and apply their skills to optimising the architecture of a SaaS video analytics start-up. While do not expect you to be Andy Jassy, we certainly hope the student brings a lot of passion to learn and grow.

Delivery Mode

 Remote (Intern engages on project in a remote capacity)

Student location

Only students located within Australia

Project’s Special Requirements/ Conditions

Intern must be residing in Australia during the duration of the internship placement (the requirement amended by the Host - Sightdata for Round 2)

Type of internship

Unpaid internship

How to apply

Applications are invited from eligible students to apply for the Computing Internship courses COMP3280 or COMP8830. Eligibility details of COMP3280COMP8830 and further information about the Computing Internship can be found on the Computing Internship page

  1. Eligible students can apply through the Computing Internship application form which will be available via the Computing Internship page between 10 May and 17 May. You can nominate multiple preferred Internship projects and host organisations through the one online application form. 
  2. Eligibility and Room Available in degree to undertake COMP3280/COMP8830 will be assessed at the time of application.  If you do not meet the eligibility criteria or do not have room in your degree to fit COMP3280/COMP8830, your application will not be progressed.
  3. Your application will require you to upload the following documents:
  • an updated copy of your Resume, and
  • an Expression of Interest (limit 350 words) for each organisation you wish to apply to (for organisations with multiple projects only submit one Expression of Interest but state clearly which project/s you wish to be considered for).


Round 2 Applications open on Tuesday 10 May 2022 and close on Tuesday 17 May 2022.



Application closing date

17 May 2022
Applications open for this opportunity: 
10 May 2022
Study level: 
Student opportunity type: 

Updated:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing