ASIC / SoC Verification
IP and subsystem verification, UVM/SystemVerilog, regression health, debug, coverage analysis and closure-oriented execution.
Engineering capability across verification and silicon closure.
A technical view of AionSi's representative engineering experience across ASIC verification, SoC engineering, verification closure, implementation and signoff.
ASIC VerificationIP & Subsystem DVVerification ClosureAutomationSoC IntegrationImplementation & Signoff
Verification engineering across the closure path.
AionSi's engineering experience spans verification planning and execution, regression and coverage closure, SoC integration, debug, automation and signoff-oriented workflows.
IP & subsystem verification
Regression & coverage closure
SoC integration & debug
Verification automation
Technical depth first.
The engineering areas, complexity and execution experience provide the basis for assessing fit before discussing any specific scope.
DESIGN VERIFICATION
UVM/SystemVerilog, IP and subsystem verification, regression, debug and coverage-oriented execution.
View experience →PHYSICAL IMPLEMENTATIONRepresentative experience across advanced-node implementation, timing closure, PPA optimization, ECO and signoff.
View experience →SOC ENGINEERINGInterfaces, memory, security, prototyping and embedded integration across representative SoC programs.
View experience →SECURE SOCSecure silicon and cryptography-oriented engineering context, including verification and system-level integration.
View experience →Engineering across verification, integration and closure.
A verification workstream can span planning, environment development, stimulus and checking, regression, failure analysis, debug and coverage closure — with dependencies across RTL, firmware and implementation.
01
Verification planning & environment
02
UVM / SystemVerilog execution
03
Stimulus, checking & assertions
04
Regression health & failure triage
05
Coverage analysis & closure
06
Cross-functional debug & handoff
ENVIRONMENT
UVM / SystemVerilog
AUTOMATION
Python / Linux
OUTCOME
Coverage & closure
Representative experience is provided for engineering qualification and does not disclose confidential customer information.
Where the engineering capability can align.
These areas are framed as technical alignment points rather than assumptions about an internal roadmap or immediate requirement.
Verification Closure & Automation
Regression orchestration, failure triage, root-cause analysis, coverage-oriented execution and Python/Linux-based engineering automation.
SoC & Interface Engineering
Interface integration, memory, security, subsystem verification and embedded integration across complex SoC environments.
Cross-Functional Debug & Closure
Structured debug across RTL, verification, interface behavior and downstream implementation dependencies.
Implementation & Signoff
Physical implementation, STA, timing closure, congestion/PPA optimization, ECO support and signoff-oriented execution.
Specialist Engineering Capacity
Defined engineering ownership around a bounded technical workstream, with experienced technical leadership and milestone-based execution.
Concrete areas for technical discussion.
IP / subsystem verification
Verification planning, UVM/SystemVerilog execution, stimulus, checkers, assertions, regression and debug for complex IP or subsystem environments.
Verification regression & closure
Regression health, failure triage, coverage analysis, root-cause isolation and milestone-oriented verification closure.
Verification automation
Python/Linux automation for regression orchestration, log analysis, result processing and repeatable verification workflows.
SoC / subsystem integration
Interface integration, subsystem interactions, embedded dependencies and structured debug across design and verification boundaries.
Cross-functional debug
Failure isolation and closure across RTL, DV, implementation and other dependent engineering functions.
Dedicated engineering capacity
A bounded specialist engineering team aligned to a defined Cadence requirement and scaled only where the technical model is proven.
Start with the engineering requirement.
Technical alignment
Understand the verification environment, architecture, protocols, tools, methodology and specific engineering requirement.
Defined workstream
Agree one bounded verification or engineering scope with clear deliverables, interfaces and technical ownership.
Milestone execution
Operate against agreed checkpoints, regression health, quality expectations, reviews and closure criteria.
Expand where relevant
Extend the engagement only where engineering fit, delivery quality and ownership are demonstrated.
Continue the technical discussion.
A focused discussion can map the relevant requirement to engineering experience, technical scope and the appropriate execution model.