The Design Verification Engineer ensures functional correctness of IPs and SoCs by developing verification environments, driving coverage closure, and automating tasks to enhance productivity.
## About Tylsemi
Tylsemi is building and scaling high-impact semiconductor operations. We partner across design, manufacturing, and supply chain to bring silicon from concept to high-volume production with speed, quality, and predictable execution.
## Role Overview
As a Design Verification Engineer at Tylsemi, you will help ensure functional correctness, robustness, and tapeout readiness of complex IPs and SoCs. You’ll work closely with design, architecture, firmware, and validation teams to build scalable verification environments, drive coverage closure, and deliver high-signal debug. This role is open across experience levels (0–30 years) and is ideal for engineers who enjoy rigorous problem solving, automation, and building verification flows that scale across programs.
## What You’ll Do
* Own verification execution for IP and/or SoC blocks from testplan through signoff: bring-up, regressions, coverage, and closure
* Develop and maintain verification environments (e.g., SystemVerilog/UVM or equivalent methodologies aligned to the project needs)
* Create high-quality testplans: requirements traceability, scenario definition, corner cases, and measurable coverage goals
* Write directed and constrained-random tests; build reusable sequences, scoreboards, monitors, and checkers
* Drive functional coverage and code coverage closure; identify gaps and propose targeted stimulus and assertions
* Debug failures across simulation and emulation/prototyping (as applicable): isolate root cause, propose fixes, and validate resolution
* Build and scale regression infrastructure: test selection, triage workflows, failure bucketing, and signal-to-noise improvements
* Automate repetitive verification tasks (Python/Perl/Tcl/Make or similar) to improve predictability and turnaround time
* Leverage AI-assisted tools to accelerate debug, log triage, test generation, and documentation—while maintaining engineering rigor and reproducibility
* Partner with design/architecture to clarify specs, review micro-architecture, and prevent ambiguity-driven bugs
* Contribute to tapeout readiness: signoff checklists, documentation, and postmortems that improve future execution
## What We’re Looking For
* Strong verification fundamentals: ability to translate specs into a clear, reviewable testplan and measurable closure criteria
* Debug mindset: structured problem statements, data-driven root cause, and clean reproduction steps
* Comfort building automation and maintaining regression health over time (not just writing tests)
* Good engineering hygiene: readable code, version control discipline, and documentation that supports cross-team execution
* Collaboration skills across design, DV, firmware, and validation to drive closure without late-stage surprises
## Required Skills
* Design verification experience across any level (entry to senior), aligned to role scope
* Automation for verification productivity (scripting, tooling, CI/regression workflows)
* Regression ownership: triage, stability, failure analysis, and continuous improvement
* Practical use of AI tools to improve DV throughput (e.g., log summarization, test scaffolding, debug assistance) with appropriate review and validation
## Nice to Have
* SystemVerilog/UVM, assertions (SVA), and formal verification exposure
* Experience with emulation and/or FPGA prototyping flows and debug
* SoC-level verification experience: interconnects, coherency, interrupts, power management, boot flows
* Verification of common interfaces (e.g., AXI/AHB/APB, PCIe, USB, Ethernet, DDR/LPDDR) depending on program needs
* Experience improving verification infrastructure: test frameworks, coverage dashboards, failure bucketing, or performance optimization
## Success in This Role Looks Like
* Clear, measurable verification closure with strong coverage and minimal late-stage churn
* Stable, high-signal regressions with fast triage and low noise
* Repeatable, well-documented verification deliverables that scale across projects and teams
* Proactive risk identification and crisp cross-functional communication that prevents surprises near tapeout
## Location
* Bengaluru, India
* International
## Experience
0–30 years (scope and ownership will be aligned to experience level).
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provide configuration and data management support for aerospace programs: process and track ECNs in Teamcenter, maintain release/configuration status, manage BOMs in Teamcenter and SAP, coordinate supplier/customer change notifications and data submittals, ensure PDM/ERP data quality, publish documents, support reviews/audits, and help meet aerospace cycle-time targets.
Top Skills:
AutocadCErpExcelMentor GraphicsPdmPlmProePythonSAPTeamcenterUgnxWord
Cloud • Security • Software • Cybersecurity • Automation
Design, maintain, and extend abuse detection and prevention systems for GitLab's SaaS platform. Serve as a core maintainer of a Ruby on Rails monolith, build anomaly detection and agentic AI mitigations, automate abuse response, collaborate with peer engineering and security teams, and produce runbooks and operational documentation.
Top Skills:
Agentic AiAWSGitlabGoogle Cloud Platform (Gcp)Large Language Models (Llms)RubyRuby On RailsSaaS
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead warehouse operations including receiving, packaging, inventory control, ASRS management, import/export reporting, SOX-compliant fiscal controls, staffing, budgeting, and cross-functional process integration to meet customer and compliance requirements.
Top Skills:
AsrsQmsrm App
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus



.jpeg)