Senior Engineer Design Automation Infrastructure

You are part of a team developing industry's first next generation semiconductor design workflow which is automation/AI driven with human in the loop contrary to traditional CAD flows. You will be responsible for semiconduction design infrastructure using AI, Databases, Analytics, Workflows, Automation, DevOPS, Hybrid Cloud and Cloud applications working in collaboration with corporate IT.

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