**Job Details**:
**About the Role**
As an AI Software Engineering Intern, you will contribute to the design, development, and optimization of cutting‑edge AI software solutions. This role offers hands‑on experience working with algorithms, frameworks, and AI architectures across domains such as computer vision, machine learning, and deep learning. You will collaborate with experienced engineers and researchers, gaining exposure to real‑world AI challenges and opportunities to develop practical, scalable solutions.
**Key Responsibilities**
- Support the design, development, and optimization of AI software, including algorithms, frameworks, and system‑level architectures.
- Assist in implementing, training, and tuning AI/ML models to improve performance, accuracy, and efficiency.
- Participate in applied research, experimenting with new techniques and technologies to solve complex AI problems.
- Contribute to hardware-software integration efforts to enable efficient AI deployments.
- Collaborate with internal product teams and external partners in the creation and delivery of AI‑based solutions.
- Support system-level deployment of AI models to ensure scalability, reliability, and production readiness.
- Engage in a collaborative, team‑oriented environment while exploring future career opportunities in AI and software engineering.
**Qualifications**:
**Minimum Qualifications**:
- Currently enrolled in Computer Science, Electronics Engineering, Software Engineering, or related technical degree program.
- 6 months of experience in:
- Linux/Unix command line and bash scripting
- Containerization concepts (Docker preferred)
- AI/ML technologies and infrastructure
- Intermediate English level.
- Must have unrestricted - permanent right to work in Mexico
**Preferred Qualifications**:
- Previous experience with Kubernetes or container orchestration platforms
- YAML syntax and configuration management
- Kubernetes concepts (pods, services, deployments)
- Exposure to AI/ML frameworks (TensorFlow, PyTorch, etc.)




- Understanding of cloud platforms (AWS, GCP, Azure)
- Experience with version control systems (Git)
- Knowledge of monitoring and logging tools
- Familiarity with CI/CD pipelines
- Technical Skills
- Programming: C++,Bash scripting, YAML, basic Python knowledge preferred
- Platforms: Kubernetes, Docker, Linux environments
- Tools: kubectl, container registries, monitoring tools
- Concepts: Containerization, orchestration, resource management, performance tuning
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
**Job Type**:Student / Intern
**Shift**:Shift 1 (Mexico)
**Primary Location**:Mexico, Guadalajara
**Additional Locations**:
**Business group**:At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.
**Posting Statement**:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
**Position of Trust**:N/A
**Work Model for this Role**
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

📌 Cloud Software Engineer Intern (Guadalajara)
🏢 Intel..
📍 Guadalajara