Oracle is seeking an OCI GPU Black Belt to drive customer success in designing, deploying, and optimizing large-scale AI and HPC workloads on Oracle Cloud Infrastructure (OCI). This role combines deep technical expertise in NVIDIA GPUs, distributed training and inference frameworks, benchmarking and performance tuning, RLHF pipelines, and end-to-end solution delivery.
The OCI GPU Black Belt will work collaboratively with sales, marketing, and technical teams to drive revenue growth and accelerate market penetration for NVIDIA GPU compute services. The role will also play a critical part in progressing business opportunities, delivering technical workshops and demonstrations, and supporting proof-of-concepts to drive cloud consumption and overall revenue growth.
What You’ll Do
- Engage directly with customers to understand their requirements for NVIDIA GPUs on Oracle Cloud.
- Lead solution design within a collaborative virtual team, mapping requirements onto Oracle cloud services.
- Deliver technical workshops, proofs-of-concept (PoCs), and demos to validate solutions and accelerate cloud adoption.
- Optimize end-to-end AI workloads by analyzing hardware bottlenecks and tuning parallel libraries for peak efficiency.
- Deploy and scale HPC clusters for simulations, configuring compute nodes and high-speed networking to meet performance SLAs.
- Design and implement distributed training pipelines and develop benchmarking and profiling solutions.
- Guide customers in model selection and evaluation while contributing to Oracle's internal expert community.
- Stay current with emerging AI infrastructure technologies and represent Oracle at industry events.
Work Conditions
- This position does not require a security clearance.
- Visa/work permit sponsorship is not available.
- Applicants must be able to read, write, and speak English.
Requirements
- Excellent communication and presentation skills across all management levels.
- 5+ years of hands-on experience in AI/ML infrastructure or HPC.
- Deep proficiency with NVIDIA GPU technologies and RDMA networking.
- Expertise in distributed training frameworks and performance optimization techniques.
- Familiarity with cloud-native practices and solid understanding of cloud architecture principles.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
This role offers the opportunity to shape Oracle's AI/ML portfolio, drive revenue growth through technical leadership, and collaborate with customers to unlock the full potential of GPU-accelerated solutions. Oracle is committed to creating a diverse and inclusive workplace, where all voices are heard and valued.
