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Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

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: - ( - )

Experience: 5+ yrs

Location: Hyderabad

Job Type: Full-time

We are looking for a highly skilled CAD Staff Engineer - Analog & Digital Simulation to develop, optimize, and support advanced circuit simulation and verification flows. This role combines EDA/CAD engineering, analog circuit simulation, software development, automation, and AI-enabled engineering workflows to improve productivity, simulation efficiency, and pre-silicon quality.

The ideal candidate will have strong expertise in circuit simulation methodologies, EDA tools, Linux-based engineering environments, and scripting/programming. You will work closely with memory and circuit design teams to solve complex technical challenges, develop scalable CAD solutions, and introduce innovative automation and AI-assisted flows.

Requirements

KEY RESPONSIBILITIES

  • Partner closely with memory design and circuit engineering teams to understand simulation challenges and develop complete, scalable solutions.
  • Develop, optimize, and maintain advanced analog and digital circuit simulation flows.
  • Identify opportunities to improve existing CAD processes, tools, methodologies, and engineering workflows.
  • Develop clean, scalable, maintainable software systems and automation frameworks.
  • Debug complex circuit simulation issues and provide effective technical solutions.
  • Evaluate emerging EDA tools and technologies and integrate suitable solutions into existing CAD flows.
  • Collaborate with EDA vendors on tool evaluation, technical issues, integration, and flow improvements.
  • Develop and deploy AI-enabled methodologies for circuit simulation and verification.
  • Lead implementation of agentic AI and automated workflows, including copilot-based assistants and rule-aware automation.
  • Integrate AI-assisted tools into engineering workflows to improve productivity, quality, and problem-solving effectiveness.
  • Identify, test, validate, and share AI-enabled improvements within the engineering organization.
  • Develop automation using Python, Perl, TCL, Shell, and SKILL as appropriate.
  • Support simulation infrastructure and workflows across Linux-based engineering environments and compute systems such as LSF.
  • Provide technical leadership, mentoring, and guidance to junior CAD and engineering team members.
  • Work with global engineering teams and stakeholders to understand requirements and deliver robust solutions.
  • Contribute to continuous improvement of simulation methodologies, productivity, reliability, and pre-silicon quality.

WHAT MAKES YOU A GREAT FIT

  • 5+ years of professional experience in CAD/EDA engineering, circuit simulation, semiconductor design automation, or a related field; 8+ years of experience in analog circuit simulation flows is preferred.
  • Strong expertise in analog circuit simulation methodologies and simulation-flow development.
  • Hands-on experience with circuit simulators such as FineSim, PrimeSim, XA, Spectre, VCS, Xcelium, or equivalent platforms.
  • Strong experience debugging complex circuit simulation issues and understanding advanced circuit design methodologies.
  • Hands-on experience with Cadence Virtuoso, Virtuoso-L, Virtuoso-XL, schematic capture, or Synopsys Custom Compiler or equivalent tools.
  • Strong programming and automation skills using Python and/or Perl, preferably with object-oriented programming experience.
  • Good understanding of CMOS concepts, analog circuits, digital fundamentals, and semiconductor design flows.
  • Strong knowledge of Linux, LSF, Shell scripting, TCL, and Cadence SKILL.
  • Experience developing scalable CAD tools, automation frameworks, and simulation workflows.
  • Practical experience applying AI/ML or AI-assisted automation to engineering, simulation, or verification workflows.
  • Strong problem-solving and analytical skills with the ability to troubleshoot complex technical issues.
  • Experience working with global engineering teams, EDA vendors, and cross-functional stakeholders.
  • Knowledge of parasitic extraction tools such as StarRC or Quantus is an advantage.
  • Experience with EM/IR analysis and Static Timing Analysis (STA) is an advantage.
  • Strong technical leadership skills with the ability to mentor engineers and drive engineering improvements.
  • Ability to use AI-enabled tools responsibly and effectively for research, analysis, automation, problem-solving, and engineering productivity.
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