At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.
Values are OCI’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future.
You are the builder here. You will be part of a team of smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged.
In OCI AI Infrastructure org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. In this role, you will drive building state-of-the-art training infrastructure for massive GPU clusters, as well as designing agentic systems deployed on OCI infrastructure at enterprise-scale. You will be innovating on leading principles of agentic software development and driving the frontier on infrastructure that maximizes the potential of bleeding-edge GPU clusters.
We are working at the forefront of Generative AI (GenAI) landscape working with teams across Oracle on multi-modal data generation and leading the framework across Oracle.
Internal Responsibilities
Key Responsibilities:
Design and develop AI software in Java, Python, and other languages.
Participate in the entire software lifecycle – development, testing, CI/CD and production operations
Participate in the entire model development cycle - training, fine-tuning, model serving, evaluation/benchmarking and human preference learning.
Apply engineering principles for defining robust and maintainable architectures and designs.
Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI
Design and build distributed, scalable, fault tolerant software systems to facilitate development of GenAI models.
Identify requirements, scope solutions, estimate work, schedule deliverables. Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture.
Contribute to publications, blogs and open-source ML performance submissions partnering with product managers
Balance between product feature development and production operational concerns like ops automation, structured logging, instrumentation for metrics and participating in on-call.
Minimum Qualifications
BS/MS in Computer Science or equivalent experience
6–10+ years building and shipping enterprise distributed or cloud-native systems
Experience scaling heterogeneous CPU/GPU training infrastructure for large multimodal frontier models
Strong foundation in system design, distributed systems, and cloud architecture best practices
Proficiency in Java, Python, or similar object-oriented languages
Experience building highly available services using service-oriented design patterns and service-to-service communication protocols
Proven ability to deliver impact in collaborative, fast-paced environments
Strong verbal and written communication skills, including technical design documentation
Hands-on experience with containers and orchestration technologies such as Kubernetes and Docker
Preferred Skills and Experience:
Production experience with Cloud and ML technologies
Experience working in the below areas and algorithms will be ideal but not mandatory:
Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation
Algorithms: Transformer models, Attention mechanism, Prompt tooling
External Responsibilities
Key Responsibilities:
Design and develop AI software in Java, Python, and other languages.
Participate in the entire software lifecycle – development, testing, CI/CD and production operations
Participate in the entire model development cycle - training, fine-tuning, model serving, evaluation/benchmarking and human preference learning.
Apply engineering principles for defining robust and maintainable architectures and designs.
Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI
Design and build distributed, scalable, fault tolerant software systems to facilitate development of GenAI models.
Identify requirements, scope solutions, estimate work, schedule deliverables. Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture.
Contribute to publications, blogs and open-source ML performance submissions partnering with product managers
Balance between product feature development and production operational concerns like ops automation, structured logging, instrumentation for metrics and participating in on-call.
Minimum Qualifications
BS/MS in Computer Science or equivalent experience
6–10+ years building and shipping enterprise distributed or cloud-native systems
Experience scaling heterogeneous CPU/GPU training infrastructure for large multimodal frontier models
Strong foundation in system design, distributed systems, and cloud architecture best practices
Proficiency in Java, Python, or similar object-oriented languages
Experience building highly available services using service-oriented design patterns and service-to-service communication protocols
Proven ability to deliver impact in collaborative, fast-paced environments
Strong verbal and written communication skills, including technical design documentation
Hands-on experience with containers and orchestration technologies such as Kubernetes and Docker
Preferred Skills and Experience:
Production experience with Cloud and ML technologies
Experience working in the below areas and algorithms will be ideal but not mandatory:
Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation
Algorithms: Transformer models, Attention mechanism, Prompt tooling
