About the Role
We are seeking a Principal Core Infrastructure Engineer with deep expertise in HPC, GPU infrastructure, and AI platform engineering to design and deploy large-scale accelerated computing solutions, lead customer engagements, and drive adoption of cutting-edge AI workloads on Oracle Cloud Infrastructure (OCI). This role offers an exceptional opportunity for individuals with strong technical acumen, customer focus, and a passion for cloud-native innovation.
Responsibilities
- Architect and deploy large-scale GPU/HPC infrastructure on OCI using tools like Terraform, Ansible, Slurm and Kubernetes.
- Build automated solutions for cluster provisioning, software deployment, and infrastructure as code.
- Collaborate with Oracle’s largest enterprise customers to define and tailor solutions that meet high-performance compute and AI requirements.
- Support LLM-based solutions, agentic AI systems, and robotic AI platforms from design through deployment.
- Act as a trusted technical advisor, guiding customers on best practices, cloud migration strategies, and deployment patterns.
- Conduct customer training, workshops, and technical deep dives to enable successful cloud adoption.
- Collaborate cross-functionally with product, support, and engineering to close technical gaps and influence product roadmaps.
- Develop and share technical assets including competitive differentiators, code samples, demos, blogs, and white papers.
- Identify and work with key AI Partners to support customer requirements from design to deployments.
Requirements
- Hands-on expertise with GPU and HPC architecture in cloud and on-prem environments.
- Proficiency in scripting and automation: Python, Bash, PowerShell, Terraform, Ansible.
- Experience with cluster managers (SLURM, PBS, Bright), Kubernetes, and container orchestration.
- Knowledge of RDMA, Infiniband, MPI, and distributed file systems.
- Core Cloud Native experience
- Familiarity with AI/ML platforms, large language models (LLMs), and inference serving stacks.
- 5+ years in pre-sales, technical consulting, or customer-facing solution architecture.
- Strong communication and presentation skills for both technical and executive audiences.
- Passion for working with top-tier customers and partners to deliver innovative cloud solutions.
- Ability to translate complex technical capabilities into business-aligned strategies.
Skills
- HPC
- GPU infrastructure
- AI platform engineering
- Terraform
- Ansible
- Slurm
- Kubernetes
- Python
- Bash
- PowerShell
- SLURM
- PBS
- Bright
- container orchestration
- RDMA
- Infiniband
- MPI
- distributed file systems
- Cloud Native
- AI/ML platforms
- large language models (LLMs)
- inference serving stacks
- pre-sales
- technical consulting
- solution architecture
- communication
- presentation
Location
- Tokyo, Japan
Work Type
- Hybrid
Experience Level
- Principal
- 5+ years
Education Level
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
Benefits
- Flexible medical, life insurance, and retirement options
- Volunteer programs
About the Company
- Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care.
- With AI embedded across our products and services, we help customers turn that promise into a better future for all.
- Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
Equal Opportunity
- Oracle is an Equal Employment Opportunity Employer.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.
- Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
- We’re committed to growing a workforce that promotes opportunities for all.
- We’re committed to including people with disabilities at all stages of the employment process.
