Tylsemi Logo

Tylsemi

Design Verification (all experience ranges)

Reposted 14 Days Ago
In-Office or Remote
Hiring Remotely in United States
Entry level
In-Office or Remote
Hiring Remotely in United States
Entry level
The Design Verification Engineer ensures functional correctness of IPs and SoCs by developing verification environments, driving coverage closure, and automating tasks to enhance productivity.
The summary above was generated by AI
## 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

Yesterday
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Develop and deploy AI, machine-learning, process-modeling, LLM, and agentic solutions for pharmaceutical manufacturing. Build real-time soft sensors, advanced process controls, monitoring systems, and decision-support workflows in GMP environments. Analyze large time-series datasets, improve process understanding, and support continuous improvement across manufacturing and quality operations while collaborating with cross-functional stakeholders.
Top Skills: Advanced Process ControlAgentic AiAIAmazon RedshiftAws SagemakerFirst-Principles ModelingIndustrial Internet Of ThingsKnowledge GraphsLarge Language ModelsMachine LearningMathematical ModelingPep8PlotlyPythonSnowflakeSpotfireSQLStreamlit
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead site energy strategy and decarbonization efforts by developing energy roadmaps, implementing renewable projects (solar, wind, BESS), managing PPAs/open-access, driving ISO 50001 EnMS, performing energy audits, baselining and EnPI tracking, building dashboards and analytics, and coordinating with utilities, regulators, procurement, and cross-functional teams to optimize energy cost, reliability, and emissions.
Top Skills: Advanced ExcelAgentic AiAnalytics ToolsBattery Energy Storage Systems (Bess)Building Management Systems (Bms)DashboardsFinancial ModellingGhg AccountingHybrid Energy SystemsIso 50001:2018Measurement & Verification (M&V)Open Access PpaPhysical PpaSolar PvVirtual PpaWind
Yesterday
Remote
Entry level
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manages finished-goods processes across global sites, ensuring process alignment, inventory accountability, compliance, staffing, equipment, materials, and customer requirements. Monitors forecasts and output needs, supports audits and process changes, investigates customer issues, provides shipping history, and helps coordinate staffing and equipment requests. The role also includes employee performance management, career development, and applying artificial intelligence.
Top Skills: Artificial Intelligence

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account