Weekday AI
Senior Principal Engineer - Verification
Skills
4 days ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
22 October 2026
What they need
This role is for one of Weekday’s clients
Min Experience: 12+ years
Location: Bengaluru
JobType: full-time
Act as the senior technical authority for verification across the organization. Define verification architecture and methodology for the most complex SoCs, solve the hardest technical escalations, and support pre-sales with technical solutioning. Influence comes through leads and principals rather than direct reports.
Experience: 12 to 14 years. Must have 5 or more tapeouts, including multiple complex SoCs, and a record of defining verification methodology at organization level.
Requirements
Desired Skills:
Defines the verification architecture for complex SoCs, such as multi-cluster CPUs, coherent interconnects, PCIe, CXL and DDR/HBM subsystems, and chiplet or UCIe-based designs.
Owns organization-level verification methodology: UVM framework standards, coding guidelines, VIP strategy, regression and coverage infrastructure.
Expert in advanced techniques: formal verification, emulation and hybrid emulation, Portable Stimulus (PSS), and hardware/software co-verification.
Evaluates and selects EDA tools, VIPs and flows, and builds strong relationships with EDA vendors.
Is the escalation point for the hardest bugs, sign-off disputes and verification-closure risks across projects.
Provides technical solutioning for pre-sales: verification approach, effort models and risk assessment for customer proposals.
Drives AI/ML-assisted verification initiatives, such as coverage closure, regression triage and test generation.
Mentors principals and technical leads, and builds technical depth across the verification practice.
Represents the company in technical discussions with customer architects.
Must-have skills
verification architecture, SoC verification, UVM framework
Good-to-have skills
EDA tool evaluation, AI/ML verification initiatives, chiplet or UCIe experience.
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