Company:
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Job Summary:
Qualcomm is seeking a talented and motivated DevOps Engineer to join our engineering team in Beijing. In this role, you will be responsible for designing, building, and maintaining scalable infrastructure and automation pipelines to support the development, and monitoring of machine learning and AI systems. You will work closely with software engineers, data scientists, and system architects to streamline workflows and ensure high availability, performance, and security of our platforms.
Key Responsibilities:
- Design and implement CI/CD pipelines for software and ML model deployment.
- Automate model training, validation, packaging, and deployment workflows.
- Monitor and optimize system performance, reliability, and scalability.
- Collaborate with cross-functional teams to integrate DevOps and MLOps best practices.
- Manage cloud and on-premise environments (e.g., Kubernetes, Docker, AWS, Azure, or internal platforms).
- Ensure compliance with security and data governance policies.
- Support experimentation platforms and ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).
Minimum Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 3+ years of experience in DevOps, MLOps, or related infrastructure roles.
- Proficiency in scripting and automation (e.g., Python, Bash, YAML).
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Understanding of ML workflows and tools used in model development and deployment.
Preferred Qualifications:
- Experience with ML platforms such as TensorFlow, PyTorch, or ONNX.
- Hands-on experience with ML lifecycle tools (e.g., MLflow, Kubeflow, SageMaker).
- Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
- Experience working in a hybrid cloud/on-prem environment.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Familiarity with Qualcomm’s AI stack or embedded ML deployment is a plus.
Why Join Us:
- Work on cutting-edge AI and ML infrastructure at scale.
- Collaborate with world-class engineers and researchers.
- Contribute to impactful projects in mobile, automotive, and edge AI.
- Competitive compensation and benefits in a global tech leader.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
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).
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.
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If you would like more information about this role, please contact Qualcomm Careers.