Datacentre Technician (Datacentre AI Engineering) - Riyadh, KSA
Qualcomm
Date: 4 hours ago
City: Riyadh
Contract type: Full time
Company:
Qualcomm Middle East Information Technology Company LLC
Job Area:
Engineering Group, Engineering Group > Hardware Engineering
General Summary:
About Us
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase.
Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
About The Role
Qualcomm is leveraging its expertise in hardware-accelerated AI to bring powerful, energy-efficient generative AI and computer vision workloads to data centres. The Qualcomm Cloud AI team is developing several key technologies including comprehensive hardware and software stack for deep learning inference acceleration, designed for rack-scale data centre deployments.
We are seeking highly skilled and experienced Data Centre Technicians to oversee the daily operations, maintenance and performance of Qualcomm's Cloud AI data centre deployments.
This role involves the following activities:
You will be able to demonstrate the following:
We'd love to see:
Apart from working with great people, we offer the below:
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
Qualcomm Middle East Information Technology Company LLC
Job Area:
Engineering Group, Engineering Group > Hardware Engineering
General Summary:
About Us
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase.
Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
About The Role
Qualcomm is leveraging its expertise in hardware-accelerated AI to bring powerful, energy-efficient generative AI and computer vision workloads to data centres. The Qualcomm Cloud AI team is developing several key technologies including comprehensive hardware and software stack for deep learning inference acceleration, designed for rack-scale data centre deployments.
We are seeking highly skilled and experienced Data Centre Technicians to oversee the daily operations, maintenance and performance of Qualcomm's Cloud AI data centre deployments.
This role involves the following activities:
- Ensure optimal performance, uptime and availability of Cloud AI data centre deployments
- Manage Qualcomm Cloud AI Accelerator hardware for AI/ML workloads
- Commission and decommission equipment
- Oversee physical infrastructure: servers, storage, networking, power, cooling
- Monitor and manage incident response, troubleshooting, root cause analysis, preventative measures
- Oversee software updates and maintenance
You will be able to demonstrate the following:
- Understanding of AI/ML workloads
- Strong problem-solving and diagnostic abilities
- Ability to work in high-pressure environments and respond to incidents quickly
- Strong attention to detail with a focus on quality and reliability
- Good communication skills for coordinating with teams
- Willingness to work shifts, on-call rotations and sometimes in physically demanding conditions
- Hands-on experience installing, troubleshooting and maintaining servers, storage devices, networking equipment and AI accelerators.
- Familiarity with Linux, bare-metal and virtualization platforms
- Familiarity with data centre infrastructure
- Use of Data Centre Infrastructure Management software and environmental monitoring systems
- Commitment to ongoing learning and professional development
We'd love to see:
- Experience with ticketing systems and change management processes
- Knowledge of programming/scripting languages like Python or Bash
- Familiarity with cloud platforms
- High School diploma or equivalent
- Basic knowledge of computer hardware and components.
- Frequently transports and installs equipment weighing at least 25 lbs.
- Associate's degree in Computer Science, Mathematics, Electrical Engineering, or related field.
- Familiarity with compliance standards (e.g., ISO 27001, SOC 2, HIPAA) relevant to data center operations
- Industry-recognized certifications such as CompTIA Linux+, CDCP, CCNA
Apart from working with great people, we offer the below:
- Salary including housing & transport allowance
- Performance related bonus
- 16 weeks fully paid Maternity Leave
- 6 weeks fully paid Paternity Leave
- Employee stock purchase scheme
- Child Education Allowance
- Relocation and immigration support (if needed)
- Life and Medical Insurance
- Live+ Well Reimbursement for health and recreational membership fees
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
- References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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