Principal Software Engineer - AI & ML Innovation
Oracle
Principal Software Engineer - AI & ML Innovation
Job Description
Overview
The Senior Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud’s AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads—incorporating the latest research in generative AI and large language models—and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows.
Locations
- Seattle, WA, United States
Salary
Skills Required
- Kubernetesintermediate
- Pythonintermediate
- Gointermediate
- Deep learning frameworksintermediate
- Containerizationintermediate
- Distributed systemsintermediate
- Parallel computingintermediate
Required Qualifications
- Strong programming skills (experience)
- Deep expertise in deep learning frameworks (experience)
- Expertise in containerization (experience)
- Expertise in distributed systems (experience)
- Expertise in parallel computing (experience)
- Comprehensive understanding of end-to-end AI/ML workflows (experience)
Responsibilities
- Evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure
- Achieving low latency, high throughput, and efficient resource utilization for model training and inference at scale
- Guiding key strategic decisions related to Oracle Cloud’s AI infrastructure offerings
- Spearheading the design and implementation of scalable orchestration for AI/ML workloads incorporating the latest research in generative AI and large language models
- Leading initiatives such as Retrieval-Augmented Generation and model fine-tuning
- Designing and developing scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go
Benefits
- general: Health Insurance
- general: 401(k)
- general: Stock Options
- general: Flexible PTO
Answer 10 quick questions to check your fit for Principal Software Engineer - AI & ML Innovation @ Oracle.
Related Books and Jobs
Principal Software Engineer - AI & ML Innovation
Oracle
Principal Software Engineer - AI & ML Innovation
Job Description
Overview
The Senior Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud’s AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads—incorporating the latest research in generative AI and large language models—and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows.
Locations
- Seattle, WA, United States
Salary
Skills Required
- Kubernetesintermediate
- Pythonintermediate
- Gointermediate
- Deep learning frameworksintermediate
- Containerizationintermediate
- Distributed systemsintermediate
- Parallel computingintermediate
Required Qualifications
- Strong programming skills (experience)
- Deep expertise in deep learning frameworks (experience)
- Expertise in containerization (experience)
- Expertise in distributed systems (experience)
- Expertise in parallel computing (experience)
- Comprehensive understanding of end-to-end AI/ML workflows (experience)
Responsibilities
- Evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure
- Achieving low latency, high throughput, and efficient resource utilization for model training and inference at scale
- Guiding key strategic decisions related to Oracle Cloud’s AI infrastructure offerings
- Spearheading the design and implementation of scalable orchestration for AI/ML workloads incorporating the latest research in generative AI and large language models
- Leading initiatives such as Retrieval-Augmented Generation and model fine-tuning
- Designing and developing scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go
Benefits
- general: Health Insurance
- general: 401(k)
- general: Stock Options
- general: Flexible PTO
Answer 10 quick questions to check your fit for Principal Software Engineer - AI & ML Innovation @ Oracle.
Related Books and Jobs