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.
