Salary
≈ $29k – $70k per year (Estimated)
Location
In office (Noida)
Seniority
Principal · 12+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
NXP Semiconductors is a Dutch chipmaker established in 2006 when Philips spun out its semiconductor division, and it concentrates on embedded processing rather than general purpose computing. Its largest market is automotive, where it supplies radar sensors, vehicle networking, battery management and the secure processors behind keyless entry and digital car keys, alongside industrial and internet of things microcontrollers, mobile secure elements and communications infrastructure silicon. Headquartered in Eindhoven and listed on Nasdaq, it is one of the leading suppliers of near field communication and automotive processing chips in the world.
Job Summary
We are seeking a CAD Engineer specializing in Digital Verification to build, enhance, and support scalable verification infrastructure, methodologies, and EDA automation flows for ASIC/SoC development.
The role focuses on enabling verification teams with robust regression systems, automation frameworks, and advanced methodologies (UVM, coverage, Continuous Integration flows) to improve productivity, debug efficiency, and time-to-tapeout.
Digital Verification CAD Support & Methodology Enablement
- Act as the primary support interface for Design & Verification (DV) teams to troubleshoot issues in simulation, regression, coverage, and debug flows
- Collaborate with DV teams to identify bottlenecks and provide practical solutions or workarounds
- Support adoption of modern verification techniques (coverage-driven, formal, emulation) through guidance and issue resolution
- Deploy, integrate, and maintain CAD tools, scripts, and environments supporting digital verification flows
- Provide day-to-day support for EDA tools (VCS, Xcelium, Verdi, vManager, etc.) and resolve tool/flow-related issues
- Work closely with EDA vendors (Cadence, Synopsys, Siemens) to track, debug, and escalate tool issues, and support tool evaluations and rollouts
- Support and maintain regression and CI/CD systems, ensuring stable execution and timely issue resolution
- Monitor and optimize infrastructure usage (compute farms, LSF environments) to ensure efficient job execution and resource utilization
- Analyze DV flow issues and performance bottlenecks, and provide improvements or recommendations for optimization
- Partner with DV, RTL design, and system teams to resolve cross-functional issues impacting verification flows
- Provide methodology guidance, user support, and training to verification engineers on tools and flows
- Maintain and contribute to documentation, best practices, and support guidelines for verification flows
Required Qualifications
- Bachelor’s / Master’s degree in Electronics Engineering
- 12+ years of experience in Digital Verification / CAD / Engineering Support-related roles
- Strong understanding of digital verification flow (simulation, regression, coverage, debug)
- Hands-on experience with System Verilog and UVM (for debugging/support perspective)
- Having experience in System tools like Matlab, Coside will be an added advantage
- Proficiency in scripting/programming (Python, Tcl, Perl, or similar)
- Experience in Linux-based environments
- Experience with EDA tools (VCS, Xcelium, Verdi, vManager, etc.)
- Exposure to regression environments, CI/CD systems, and compute farm usage
- Familiarity with AI/ML-based DV tools (e.g., Cadence Verisium AI) is a plus
- Basic understanding of SoC/ASIC architecture and RTL design concepts
Required Interpersonal Skills
- Strong communication skills with the ability to interact effectively across teams
- Proven ability to collaborate with design, verification, IT and infrastructure teams
- Experience working in multi-cultural global environments and coordinating with globally distributed teams
Nice-to-Have
- Exposure to AI-assisted verification workflows / LLM-based tools and AI Agents development.
- Experience with cloud-based or distributed regression environments
- Interest in automating repetitive support workflows across DV flows using scripting or AI-based approaches
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