Software Engineer AiDP Reliability Engineering, IS&T, Early Career Opportunities

Apple

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profile Job Location:

Austin - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

We are looking for engineers who have strong coding skills and computer science foundation with passion for building resilient and highly performant distributed systems. As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI ML Inference and Big data platform. You will:- Build enhance and maintain multi-tenant systems employing diverse technologies- Collaborate with multi-functional teams to deliver impactful customer features- Lead projects through full lifecycle from design discussions to release delivery- Operate scale and optimize high-throughput and highly concurrent services- Diagnose resolve and prevent production and operational challengesWe are looking for enthusiastic engineers with interest in one of the following areas:- ML Engineers- Big Data Engineer- Platform Reliability Engineer


  • Bachelors Degree in Computer Science Computer Engineering or equivalent technical degree
  • Proficient programming knowledge in one of the following areas: Python Java or Go Programming and ability to read and explain open source codebase
  • Good foundation of Operating Systems Networking and Security Principles
  • Relevant Internship experience


  • Excellent analytical & problem solving skills
  • Exposure to Model Training or Fine Tuning methodologies
  • Exposure to Spark/Flink/Trino/Iceberg and other modern cloud native big data technologies
  • Exposure to Kubernetes and other cloud native technologies like Flux/Argo CD
We are looking for engineers who have strong coding skills and computer science foundation with passion for building resilient and highly performant distributed systems. As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI ML Inference and Big...
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Key Skills

  • Kubernetes
  • FMEA
  • Continuous Improvement
  • Elasticsearch
  • Go
  • Root cause Analysis
  • Maximo
  • CMMS
  • Maintenance
  • Mechanical Engineering
  • Manufacturing
  • Troubleshooting

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