SDE II: AI Platform Engineer, SageMaker Hyperpod

Salón Večná kráska; Santa Clara (CA); On-site; USD 129,000 - 224,000; Full time

Job summary

Amazon Web Services (AWS) in Santa Clara, CA, is seeking an SDE II to help build the SageMaker Hyperpod and next-generation AI compute platform optimized for LLMs and distributed training. You will design and implement distributed ML systems, collaborate with ML scientists, and guide junior engineers while driving architecture and best practices in a fast-paced environment.

This role offers the chance to work with Kubernetes, PyTorch, and GPU technologies to scale AI workloads for global

Qualifications

• 3+ years of professional software development experience.
• 2+ years of design or architecture experience for distributed systems.
• Experience programming in at least one language.

Responsibilities

• Design, develop, test, and deploy distributed ML systems at scale.
• Collaborate with ML scientists and customers to shape roadmap and requirements.
• Drive system architecture and best practices for a scalable AI platform.

Skills

Software development

System architecture

Programming languages

Education

Bachelor's degree in Computer Science or equivalent

Job description

Amazon Web Services (AWS) in Santa Clara, CA, is seeking an SDE II to help build the SageMaker Hyperpod and next-generation AI compute platform optimized for LLMs and distributed training. You will design and implement distributed ML systems, collaborate with ML scientists, and guide junior engineers while driving architecture and best practices in a fast-paced environment.

This role offers the chance to work with Kubernetes, PyTorch, and GPU technologies to scale AI workloads for global