AmazonControl Engineer Intern, AWS Data Center Controls Deployment & Services team
Amazon is hiring a Control Engineer Intern, AWS Data Center Controls Deployment & Services team in Singapore, Singapore. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Bms, Epms and control systems.
- Level files it as an internship.
- Level lists 22,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
Control Engineering Intern to support data center power and cooling control systems deployment and testing at AWS in Singapore.
Would you like to be part of the AWS Internship Program, helping us build and run the infrastructure behind Amazon Web Services?
Are you curious about how a data center keeps its power and cooling running around the clock?
Do you want to apply what you have learned in control systems, mechanical and electrical engineering to real, live infrastructure?
Cloud computing is changing how the world uses technology. Since 2006, AWS has provided companies of all sizes with an infrastructure web services platform in the cloud. On this AWS Internship Program you will take on real projects, build skills you can use from day one, and be encouraged to build and innovate. You will be a supported member of our internship community, with access to mentoring, coaching and other learning opportunities.
Key job responsibilities
As a Controls Engineering Intern, you will work alongside our engineers in Singapore on live data centers and new builds. You will learn how a control philosophy becomes a working system: how sensors, controllers and sequences of operation keep chillers, air handlers and electrical switchgear running safely. Your work will include:
- Reviewing points lists and sequences of operation against design documents
- Helping build and track digital inspection and testing checklists
- Analysing alarm and trend data to find recurring issues and their root causes
- Keeping technical records, such as as-built drawings and test documents, accurate and current
- Supporting small automation and tooling projects that save the team time
You will need curiosity, attention to detail, and the confidence to ask questions and speak up when something does not look right. No prior data center experience is required. We will teach you the systems. We are looking for solid fundamentals and a willingness to learn.
About the team
The AWS Data Center Controls Deployment & Services team (CDS) sits within the Data Center Capacity Delivery (DCCD) organization. CDS delivers and supports the control systems that monitor and run power and cooling in AWS data centers, including Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS). Our Controls Engineers come from electrical, mechanical and software backgrounds. Together we design, deploy, test and support these systems from construction through to live operation, so our customers' workloads stay available.
#auta-sg #auta-asean
Basic qualifications
- Currently pursuing a Bachelor's degree in Electrical, Mechanical, Mechatronics or Computer Engineering
- Year 3 or final-year student
- Coursework in control systems (for example feedback loops, PID control or automation)
- Foundational knowledge of electrical engineering (circuits, power distribution) and mechanical engineering (thermodynamics, fluids or HVAC)
- Able to commit the full-time internship
- Candidates must be able to legally work in Singapore
Preferred qualifications
- University project, lab work or internship applying control theory (for example PLC programming, automation or control system design)
- Basic programming or scripting (for example Python)
- Familiarity with industrial communication protocols such as BACnet or Modbus
- Interest in data center infrastructure, building services, or critical power and cooling systems
How we rate this
Control Engineer Intern, AWS Data Center Controls Deployment & Services team at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where control systems was part of your work. What did you do?
- Tell me about a project where mechanical engineering was part of your work. What did you do?
- Tell me about a project where electrical engineering was part of your work. What did you do?
- Tell me about a project where data center was part of your work. What did you do?
- Walk me through how you've used Bms in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Control Systems, Mechanical Engineering, Electrical Engineering, Data Center, and Bms. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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