Senior Principal Network Development Engineer focused on backend NIC qualification and NPI for AI superclusters. The role requires deep expertise in NIC architecture, distributed systems networking for AI/ML, and performance tuning to ensure RDMA performance, cluster scale, and workload isolation. Responsibilities include leading qualification strategies, defining validation methodologies, driving performance characterization, collaborating with vendors and internal teams, building automated validation frameworks, and establishing qualification gates for AI infrastructure.

Senior Site Reliability Engineer role at Oracle focused on supporting mission-critical services, with a strong emphasis on OCI tooling, distributed systems, production operations, automation, observability, and incident response. The role involves integrating AI-driven tools into observability platforms and incident management workflows, and partnering with AI Ops initiatives.

This Principal Software Engineer role focuses on building next-generation cloud-native EHR platforms for Oracle Health. The engineer will work with distributed systems, cloud infrastructure, and applied AI to create intelligent, scalable, and resilient healthcare solutions. Key responsibilities include architecting and building large-scale platforms, solving complex production issues, designing AI-driven automation and AIOps, and leading system design for scalability and reliability. The role requires deep Java expertise, strong debugging skills, and experience with microservices, Kubernetes, and cloud platforms. Mentoring other developers is also a key aspect.

This role focuses on building and optimizing AI infrastructure, specifically GPU control and data planes, to support large-scale customer AI workloads in a cloud environment. The goal is to ensure high performance, reliability, and scalability for AI compute resources.

Develops and designs fundamental architectural changes for a cutting-edge, ultra-high-performance GPU platform supporting AI/ML/HPC workloads, focusing on GPU delivery, health monitoring, triage automation, and diagnostic services for large-scale distributed systems.

This role focuses on building and operating ultra-high-performance GPU platforms for AI/ML/HPC workloads within Oracle Cloud Infrastructure. The responsibilities include designing and developing fundamental architectural changes for GPU delivery, health monitoring, testing, triage automation, and diagnostic services, essential for running distributed AI/ML/HPC workloads across thousands of GPUs. The role requires strong skills in distributed systems, Linux engineering, and experience with large-scale production systems.

Senior Principal Software Developer role focused on database query processing, with responsibilities including parallel/distributed query execution, vector search, and using AI models to improve processes and developer productivity. The role involves performance benchmarking and addressing bottlenecks.

Develop advanced features for Oracle Database's query optimizer, focusing on autonomous features, self-learning, and ML capabilities to maintain a competitive edge. This role involves research, design, and development of kernel code, with a strong emphasis on query optimization.

Senior Software Developer role focused on building and enhancing SaaS applications on Oracle Cloud Infrastructure (OCI) for the healthcare domain. The role involves designing, developing, and maintaining cloud infrastructure, data pipelines, and analytics capabilities, with an emphasis on using AI/ML models to improve customer insights. The position requires strong software engineering skills, cloud expertise, and the ability to lead projects and own the full SDLC.

This role focuses on Site Reliability Engineering for Oracle Health's AI-powered healthcare infrastructure, specifically the Clinical AI Assistant platform. The principal engineer will lead reliability efforts for large-scale cloud-native systems, design and operate distributed systems supporting AI services, build automation and self-healing capabilities, and develop AIOps features. The role requires strong experience in SRE, distributed systems, Kubernetes, and automation, with helpful experience in AI/ML infrastructure and regulated environments.