CAD Front End CPU Methodology and Automation Engineer, Sr Staff
Qualcomm · Bengaluru · onsite · Posted 7d ago
Undisclosed10–15 yrsfulltimeSourced from
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About this role
Company: Qualcomm India Private Limited
Job Area: Engineering Group, Engineering Group > Hardware Engineering
Job Summary
As a CAD Methodology and Automation Engineer, you will work with RTL, architecture, design, DV, software, and silicon verification users. with at least 8+ years of experience.
Responsibilities
- As a CAD Methodology and Automation Engineer, you will work with RTL, architecture, design, DV, software, and silicon verification users. with at least 8+ years experience.
- Focus on generating new ideas, proving those, putting together flows/methodologies around those, and incorporating those in implementation flow for CPU designs.
- Collaborate with chip leads to determine new areas in Front-End/Design Verification to support current or future designs that can benefit from automation and tooling
- Define and implement new infrastructure capabilities that can be used to accelerate design and development utilizing multi-site datacenters
- Drive consensus across business units on tool design methodology
- Work closely with design teams to define methodologies, drive flow development, and deploy vendor tools
- Interfaces with various cross functional teams and external vendors to define, drive and incorporate the latest design solutions to improve productivity and time to market.
- Support design engineers on the flow setup and resolve their queries
Qualifications
- Must have strong object-oriented programming abilities in Python; Must have Linux knowledge and experience with data-management software
- Must have worked on Digital flows/methodologies development in the DV domains like Simulation, Emulation and Formal verification.
- Experience with CI/CD platform (like Airflow and Jenkins) and Version Control System (like Perforce and/or Git).
Minimum Qualifications
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.
- Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience.
- PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
Sourced from naukri
Skills
AutomationJenkinsObject Oriented Programmingformal verificationHardware Engineeringeda toolscomputer engineeringbsapache airflowDesign VerificationCADElectronics EngineeringEvent DrivendebuggingArchitectureGITLinuxFront End
About Qualcomm

Qualcomm
Semiconductors
22k+
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1996
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