Staff Software Developer - AI DevOps Engineer

Qualifications

• Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience
• OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience
• OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience
• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc
• What We’re Looking For: Proven experience deploying large-scale ML applications in production environments
• Strong proficiency with Docker for containerization and Kubernetes (K8s) for orchestration
• Hands-on experience with K3s for lightweight, edge-friendly ML deployments
• Expertise in Terraform for infrastructure provisioning and management
• Demonstrated ability to design and implement CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions)
• Familiarity with large language models (LLMs), AI agents, and their operational needs
• Proficiency in a compiled language (e.g., C, C++, Rust) and a high-level language (e.g., Python, Go)
• Comfortable with automation scripting (e.g., Bash, Python) and system monitoring tools
• Strong problem-solving skills and a passion for enabling user success
• Nice-to-Haves: Understanding of ML frameworks like TensorFlow or PyTorch
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and hybrid environments
• Background in optimizing workloads for specialized AI hardware

Benefits

• Pay range and Other Compensation & Benefits: $134,800.00 - $202,200.00
• 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
• 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

Responsibilities

• You’ll leverage your expertise in Docker, Terraform, K3s, and Kubernetes (K8s) to build CI/CD pipelines, manage containerized workloads, and create deployment scripts tailored to our AI accelerator chips
• This role demands a solid understanding of LLMs, AI agents, and programming in both compiled and high-level languages
• Key Responsibilities: Deploy and scale ML applications and models using Kubernetes (K8s) and lightweight K3s clusters, optimizing for our AI accelerator chips
• Containerize ML models and workloads with Docker, ensuring seamless integration with our hardware
• Use Terraform to define and manage infrastructure as code for consistent, repeatable deployments
• Build and maintain CI/CD pipelines to automate the release of ML models and applications
• Work with Kubernetes APIs to automate orchestration, scaling, and management of containerized environments
• Develop deployment scripts and tools to empower users to adopt our AI solutions effortlessly
• Collaborate with ML teams to troubleshoot and enhance production deployments
• Apply your knowledge of LLMs and AI agents to optimize deployment workflows
• Write efficient code in a compiled language (e.g., C, C++, Rust) and a high-level language (e.g., Python, Go) as needed
• Ensure system reliability, security, and performance for mission-critical ML workloads

Full Description

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: We’re seeking a talented DevOps Engineer to drive the deployment of large-scale ML applications and models. You’ll leverage your expertise in Docker, Terraform, K3s, and Kubernetes (K8s) to build CI/CD pipelines, manage containerized workloads, and create deployment scripts tailored to our AI accelerator chips. This role demands a solid understanding of LLMs, AI agents, and programming in both compiled and high-level languages. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Key Responsibilities: Deploy and scale ML applications and models using Kubernetes (K8s) and lightweight K3s clusters, optimizing for our AI accelerator chips. Containerize ML models and workloads with Docker, ensuring seamless integration with our hardware. Use Terraform to define and manage infrastructure as code for consistent, repeatable deployments. Build and maintain CI/CD pipelines to automate the release of ML models and applications. Work with Kubernetes APIs to automate orchestration, scaling, and management of containerized environments. Develop deployment scripts and tools to empower users to adopt our AI solutions effortlessly. Collaborate with ML teams to troubleshoot and enhance production deployments. Apply your knowledge of LLMs and AI agents to optimize deployment workflows. Write efficient code in a compiled language (e.g., C, C++, Rust) and a

high-level language (e.g., Python, Go) as needed. Ensure system reliability, security, and performance for mission-critical ML workloads. What We’re Looking For: Proven experience deploying large-scale ML applications in production environments. Strong proficiency with Docker for containerization and Kubernetes (K8s) for orchestration. Hands-on experience with K3s for lightweight, edge-friendly ML deployments. Expertise in Terraform for infrastructure provisioning and management. Demonstrated ability to design and implement CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). Familiarity with large language models (LLMs), AI agents, and their operational needs. Proficiency in a compiled language (e.g., C, C++, Rust) and a high-level language (e.g., Python, Go). Comfortable with automation scripting (e.g., Bash, Python) and system monitoring tools. Understanding of hardware-accelerated computing (e.g., GPUs, custom AI chips) is a plus. Strong problem-solving skills and a passion for enabling user success. Nice-to-Haves: Understanding of ML frameworks like TensorFlow or PyTorch. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and hybrid environments. Background in optimizing workloads for specialized AI hardware. 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 or call Qualcomm's toll-free number found here ( _public_article_view&sysparm_article=KB0039028). 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. 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. Pay range and Other Compensation & Benefits: $134,800.00 - $202,200.00. 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 ( ). #J-18808-Ljbffr