Sr Principal AI Software Engineer - ML & AI Innovation

Sr Principal AI Software Engineer - ML & AI Innovation

Seattle, WA, United States

• Job Identification 326136
• Job Category Product Development
• Job Type Regular Employee
• Security Clearance:
  No
• Years of
  
  Experience:
  
  10+ years
• Languages:
  
  English

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 s 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.

• Evaluate, integrate, and optimize state‑of‑the‑art technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.
• Guide strategic decisions around Oracle Cloud’s AI infrastructure offerings.
• Design and implement scalable orchestration for serving and training AI/ML models, model parallelism and performance across the AI/ML stack.
• Explore and incorporate contemporary research on generative AI, agents, and inference systems into the LLM software stack.
• Lead initiatives in generative AI systems design, including Retrieval‑Augmented Generation (RAG) and LLM fine‑tuning.
• Design and develop scalable services and tools to support GPU‑accelerated AI pipelines, leveraging Kubernetes, Python/Go, and observability frameworks.

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field (or equivalent experience).
• Experience with machine learning and deep learning concepts, algorithms, and models.
• Proficiency with orchestration and containerization tools like Kubernetes, Docker, or similar.
• Expertise in modern container networking and storage architecture.
• Expertise in orchestrating, running, and optimizing large‑scale distributed training/inference workloads.
• Deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines.
• Experience with parallel computing frameworks and paradigms.
• Strong programming skills and proficiency in major deep learning frameworks.

Certain US customer or client‑facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only. US:
Hiring Range in USD from: $96,800 to $251,600 per annum. Candidates may be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

• Medical, dental, and vision insurance, including expert medical opinion.
• Short‑term and long‑term disability.
• Life insurance and AD&D.
• Supplemental life insurance (Employee/Spouse/Child).
• Health care and dependent care Flexible Spending Accounts.
• Pre‑tax commuter and parking benefits.
• 401(k) Savings and Investment Plan with company match.
• Paid time off:
  Flexible vacation is provided to all eligible employees assigned to a salaried (non‑overtime eligible) position. Accrued vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years…