Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Software Applications Engineering

General Summary:

The Data Center Customer Engineering team is seeking experienced MLOps Engineers to lead deployment and optimization of rack-scale deep learning workloads powered by Qualcomm Cloud AI inference accelerators. These accelerators leverage Qualcomm's expertise in hardware-accelerated AI to power high-performance, energy-efficient generative AI and computer vision inference workloads in the data center.

In this role, you will collaborate closely with strategic partners and customers to drive seamless provisioning, orchestration, optimization, monitoring, and lifecycle management of end‑to‑end deep learning inference pipelines on Qualcomm's Cloud AI data center deployments.

Ideal candidates will bring a strong foundation in ML model deployment, systems engineering, rack-scale management software, DevOps/MLOps automation, and cross‑functional collaboration.

This role involves the following activities:

• Ensure optimal performance, uptime and availability of Cloud AI data center deployments
• Manage Qualcomm Cloud AI Accelerator hardware for AI/ML workloads
• Commission and decommission equipment
• Oversee physical infrastructure: servers, storage, networking, power, cooling
• Deploy and maintain infrastructure-as-code tools
• Monitor and manage incident response, troubleshooting, root cause analysis, preventative measures
• Oversee software updates and maintenance
• Monitor usage trends and plan for infrastructure scaling
• Manage relationships with hardware, software service vendors
• Coordinate with internal teams: IT, engineering, security
• Provide regular reports on uptime, incidents, capacity and performance metrics
• Track KPIs and SLAs
• Ensure redundancy and failover mechanisms
• Document and enforce standard operating procedures

Candidates for this position will demonstrate the following:

• Understanding of AI/ML inference 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
• 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 center infrastructure
• Use of Data Center Infrastructure Management software and environmental monitoring systems
• Commitment to ongoing learning and professional development
• Knowledge of programming/scripting languages like Python or Bash
• Familiarity with cloud platforms

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. OR
  Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
  OR
  PhD in Engineering, Information Systems, Computer Science, or related field.

• 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.

• 1+ year of any combination of academic and/or work experience with debugging techniques.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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.

Pay range and Other Compensation & Benefits:

$108,300.00 - $162,500.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.