AI Engineering Graduate Program
Job Summary
Seeking fresh graduates for the full-time AI Engineering Graduate Program, candidates will develop large-scale AI cloud services, Kubernetes platforms, and AI model training systems in a remote work environment.
Key responsibilities:
- Develop large-scale, highly available AI cloud services including GPU virtual machines and cloud networking
- Build managed Kubernetes services with intelligent scheduling and support for large-scale AI workloads
- Create distributed training and inference platforms, enhancing model deployment and evaluation capabilities
Required qualifications:
- Bachelor's, Master's, or PhD degree in any discipline or up to 2 years of related work experience
- Strong programming skills in languages such as Go, Python, C++, Java, or Rust
- Experience with cloud-native technologies like Kubernetes, Docker, and Terraform is preferred
- Demonstrated enthusiasm for AI infrastructure and cloud-native technologies
- Proven achievements in academics or engineering projects, including open-source contributions
Complete Job Description
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