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Senior Engineer Design Automation Infrastructure

Senior Engineer Design Automation Infrastructure

ConfidentialBengaluru / Bangalore
12 days ago
Job description

Essential Responsibilities :

  • Deliver on OKRs and milestones.
  • Architect and micro-architect end to end design infrastructure enabling semiconductor design automation.
  • Follow Agile project management techniques for code development and QA.
  • Deploy applications and provide training to ensure adoption and continued usage by Scalable Design Solutions teams and Design Engineering teams.
  • Develop workflows for progress tracking, flow control, analytics and dashboards for reporting.
  • Develop and manage AI / ML infrastructure, ML OPS and data pipelines for semiconductor design.
  • Continuously monitor efficient usage of cloud resources and develop recommendations for efficiency improvements.
  • Collaborate with other Scalable Design Solutions teams to identify gaps and enhance design infrastructure.

Other Responsibilities :

  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety Security requirements and programs.
  • Collaborate with cross functional teams (Corporate IT Cloud Engg, IT Architecture, Central CAD, PDK Infrastructure, Silicon Validation, Post Fab, and Cloud vendors).
  • Required Qualifications :

  • Education - 2 years experience with masters degree in Information Technology or Computer science or Artificial Intelligence or related field.
  • 2+ years of experience in developing software for .
  • 2+ years of experience in Architecting relational databases, Big data, development and deployment.
  • 2+ years of experience in DevOPS, Python based automation, distributed code versioning.
  • 2+ years of experience in data pipelines, ML OPS, Cloud engineering.
  • 2+ years of experience in AI / ML, Reinforcement Learning model development, pipelines, transformers.
  • 1+ years of experience developing software for Electronic Design Automation (EDA).
  • 1+ years of experience in developing workflows, analytics, dashboards.
  • 1+ years of experience in design version control software and software version control.
  • Fluency in English Language - written verbal.
  • Preferred Qualifications :

  • Certification in AI / ML / Reinforce Learning, pipelines, transformers.
  • Certification in database usage and architecture is preferred.
  • Certification in Agile project management.
  • Certification in Azure / AWS / GCQ Cloud engineering, ML OPS, relational databases.
  • Ability to navigate ambiguity.
  • Demonstrated innovation and creativity.
  • Strong written and verbal communication skills.
  • Skills Required

    Ml, Azure, Ai, Aws, Analytics, Software Development, Devops

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