AI & DevOps Software Development Engineer
About The Position
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. We are seeking a motivated AI & DevOps Engineer to join our dynamic technology team. This entry-level position is designed for a recent college graduate who is passionate about both artificial intelligence and modern infrastructure practices. The successful candidate will contribute to cutting-edge AI projects while developing expertise in cloud infrastructure, automation, and enterprise-grade development operations.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related technical field
- Programming experience in Python, JavaScript, or similar languages
- Familiarity with Linux/Unix operating systems and command-line tools
- Experience with version control systems, particularly Git and GitHub
- Understanding of cloud platforms (AWS, Azure, or GCP)
- Knowledge of containerization technologies (Docker, Kubernetes) is a plus
- Exposure to AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) through coursework or projects
- Experience with Infrastructure as Code tools
- Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack)
- Strong analytical and problem-solving abilities
- Ability to work independently and manage multiple priorities
- Excellent written and verbal communication skills
- Demonstrated interest in emerging technologies through personal projects, internships, or coursework
- Experience working in team environments, preferably in agile methodologies
Nice To Haves
- Certification in cloud platforms (AWS, Azure, or GCP) preferred but not required
- Knowledge of containerization technologies (Docker, Kubernetes) is a plus
Responsibilities
- Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi, and maintain and enhance cloud infrastructure across multiple environments
- Automate deployment pipelines and CI/CD processes, and support GitHub Enterprise Managed Users (EMU) migration initiatives
- Troubleshoot Linux-based systems and resolve infrastructure issues, and monitor system performance and implement optimization strategies
- Develop and implement AI solutions using modern frameworks and tools, and create and refine AI skills and capabilities for enterprise use cases
- Design and optimize Model Context Protocol (MCP) integrations for various applications, and conduct prompt engineering experiments to improve model performance and reliability
- Collaborate with senior engineers on AI model deployment and monitoring, and contribute to AI project documentation and best practices
- Participate in code reviews and maintain high-quality coding standards
- Collaborate with cross-functional teams on project planning and execution, and document processes, solutions, and troubleshooting procedures
- Stay current with industry trends in AI, DevOps, and cloud technologies, and provide technical support and mentorship to team members as you grow
Benefits
- AMD benefits at a glance
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
