Principal AI/ML Software Engineer

Oracle

Location

Seattle, Washington, United States

Vacancies: 1

Posted: 02-09-2025

Salary: $96,800 to $223,400

Experience: 6 to 10

Skills: AI/ML infrastructure design, deep learning, generative AI (LLMs, RAG, fine-tuning), distributed training/inference, Kubernetes, Docker, GPU acceleration, Python/Go, container orchestration, parallel computing, and end-to-end ML workflow optimization.

Description:

Job Description 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. Responsibilities 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 Infra offerings Design and implement scalable orchestration for serving and training AI/ML models, Model Parallelism & 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. Qualifications: 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 Have 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. Qualifications Disclaimer: 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 $223,400 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order 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. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. 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 of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4

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