Principal AI Networking Architect

Oracle Corporation

Seattle (WA)

In loco

USD 115.000 - 235.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Medical insurance
401(k) plan
Paid time off
Disability insurance
Equity participation

Descrizione del lavoro

Oracle Corporation in Seattle seeks a Principal AI Networking Developer to lead design and deployment of large-scale AI systems for networking applications. You will design scalable orchestration for training and serving AI models, and collaborate across teams to optimize latency and throughput in GPU-powered pipelines.

Responsibilities include integrating contemporary AI research, enabling RAG pipelines, and delivering end-to-end features with strong problem-solving and communication skills.

Competenze

  • Requirements include 7+ years building software systems with AI applications.
  • Experience with Python and ML frameworks for model training.
  • Strong knowledge of networking protocols and data center design.

Mansioni

  • Design scalable orchestration for serving and training AI models.
  • Integrate research on AI and inference systems into the stack.
  • Optimize technologies for latency and throughput in training/inference.
  • Lead AI system design initiatives including RAG and fine-tuning.
  • Develop GPU-accelerated pipelines and observability tooling.

Conoscenze

Python
ML frameworks
PyTorch
TensorFlow
LLMs
RAG pipelines
Distributed systems
Network telemetry
Terraform
Ansible
MLOps
CI/CD
Go
Observability
Design docs

Formazione

BSEE
BSCS
BSCE
MSCE
MSEE
MSCS

Strumenti

Terraform
Ansible
NAPALM
Batfish
PyTorch
TensorFlow

Descrizione del lavoro

Oracle Corporation in Seattle seeks a Principal AI Networking Developer to lead design and deployment of large-scale AI systems for networking applications. You will design scalable orchestration for training and serving AI models, and collaborate across teams to optimize latency and throughput in GPU-powered pipelines.

Responsibilities include integrating contemporary AI research, enabling RAG pipelines, and delivering end-to-end features with strong problem-solving and communication skills.

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