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MLOps Engineer – Data Center Customer Engineering jobs in United States
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Qualcomm · 1 week ago

MLOps Engineer – Data Center Customer Engineering

Qualcomm Technologies, Inc. is seeking experienced MLOps Engineers to lead deployment and optimization of deep learning workloads powered by Qualcomm Cloud AI inference accelerators. The role involves collaborating with partners to manage end-to-end deep learning inference pipelines and ensuring optimal performance of Cloud AI data center deployments.
Telecom & CommunicationsArtificial Intelligence (AI)SoftwareGenerative AITelecommunicationsWireless
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

ML model deploymentDevOps/MLOps automationAI/ML inference workloadsData Center Infrastructure ManagementLinuxPythonTroubleshootingProblem-solvingCommunication skillsAttention to detail

Required

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
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

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

Company

Qualcomm

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Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.

H1B Sponsorship

Qualcomm has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)

Funding

Current Stage
Public Company
Total Funding
$3.5M
1991-12-20IPO
1988-01-01Undisclosed· $3.5M

Leadership Team

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Cristiano Amon
President & CEO
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Isaac Eteminan
CEO
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Company data provided by crunchbase