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Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Sep 3, 2026. TYLsemi scores A on the Alion truth index.

Overview
Company
Impact
Profile match
TYLsemi is a chiplet-first semiconductor company that develops production-ready chiplets and infrastructure IP for connectivity, power delivery and interconnect in AI and high-performance computing systems, with corporate headquarters in San Jose, California. Founded by chief executive Mohit Gupta, a former executive vice president at Alphawave Semi, it has raised 43 million dollars in an early-stage funding round and has its largest engineering team in Bengaluru. It hires SoC RTL design, design verification, physical design and timing engineers, SERDES firmware and applications engineers, DFT, CAD and post-silicon validation specialists and technical program managers.

About TylSemi, Inc.

The Opportunity

The AI infrastructure market is exploding. Every hyperscaler, every cloud provider, every AI company is building custom silicon. But they all face the same problem: how do you connect hundreds of chips, deliver clean power at scale, and move terabits of data without melting the package?

That's what we solve. TylSemi builds the chiplet infrastructure IP - the IO, power delivery, and interconnect building blocks - that makes AI/HPC systems actually work at scale.

This isn't a nice-to-have. It's the critical path.

Why Now

The Market Window

The semiconductor industry is going through its biggest architectural shift in 40 years:

  • Moore's Law is dead. 2nm and beyond delivers marginal performance gains. The future is chiplets, not monolithic dies.
  • Custom silicon is now mainstream. Google, Microsoft, Amazon, Meta, OpenAI - they're all designing their own ASICs. The $50B custom silicon market is growing 30% annually.
  • IO and power are the bottleneck. Solve hard problems and provide something which is a category in itself.

Translation: We're entering the market at exactly the moment when every major AI/HPC player needs what we're building, and their alternatives are disappearing.

Culture & Team: How We Work

No Politics, No Bureaucracy

There are no layers, no approval chains, no corporate theater.

  • If you have an idea, we test it. If it works, we ship it.
  • No endless meetings, no PowerPoint presentations to convince middle management.

Remote-Friendly, Global Team

  • US team: Bay Area preferred, but we hire the best people regardless of location
  • India team: Building a world-class design center in Bangalore

Move Fast, Ship Real Products

We're not a research project. We have paying customers, committed capital, and aggressive timelines.

This is a company, not a lifestyle business. We're building to win.

What We Value

  • Ownership mindset. You're not here to execute someone else's roadmap. You're here to define it.
  • Bias for action. We move fast. Analysis paralysis doesn't fly here.
  • Deep technical expertise. This is hard engineering. We need people who've shipped real silicon and debugged real hardware.
  • Low ego, high standards. We don't care about titles or politics. We care about results.

The Ask

If you're reading this, you're probably comfortable. You have a good job at a stable company with all the benefits.

We're asking you to walk away from that and bet on us.

Here's why you should:

  • The market is real. AI infrastructure spending is $200B+ annually and growing 40% YoY. Every hyperscaler needs what we're building.
  • The team has done this before. We've built and exited semiconductor companies at scale. This isn't our first rodeo.
  • The traction is de-risked. We have LOIs, strategic investors, and a clear path to revenue.
  • The work is consequential. You're not optimizing someone's ad click-through rate. You're building the silicon infrastructure that powers AI.

This is the bet. Join us and build something that matters.

Or stay comfortable. No judgment.

But if you're the kind of person who wants to take the shot, we'd love to talk.

READY TO JOIN?

Role Overview

We are seeking an experienced Senior CAD Engineer to develop, deployment, and support of advanced VLSI CAD methodologies and automation solutions. The role focuses on improving design productivity, quality, and scalability across RTL-to-GDS implementation flows. The ideal candidate will work closely with Physical Design, Frontend, DFT, STA, and EDA vendors to drive robust CAD infrastructure and enable successful tape-outs for complex SOCs.

WhatYou’llDo

  • Develop, andmaintainscalable CAD flows for synthesis, physical design, STA, low-power verification, and signoff.
  • Drive automation andmethodologyimprovements to enhance design efficiency, runtime, andQoR.
  • Collaborate with design, verification, DFT, and implementation teams to understand flow requirements and deployment challenges.
  • Debug complex flow,tool, and infrastructure-related issues across project execution.
  • Integrate and qualify new EDA tool releases and advanced node methodologies.
  • Develop automation scripts, regression environments, dashboards, and flow monitoring infrastructure.
  • Work with foundries and EDA vendors on technology enablement and issue resolution.
  • Mentor engineers andestablishCAD best practices across teams.

WhatWe’reLooking For

  • Bachelor’s orMaster’sdegree in Electronics, Computer Engineering, VLSI, or relatedfield.
  • 5+ years of experience in CAD engineering, physical designmethodology, or EDA flow development.
  • Strongexpertisein ASIC/SOC implementation flows including synthesis, P&R, STA, physical verification, and low-power methodologies.
  • Hands-on experience with industry-standard EDA tools such as Cadence, Synopsys, and Siemens EDA tool suites.
  • Strong programming and scripting skills inTcl, Python, Perl, and Shell scripting.
  • Experience with distributed computing environments, regression frameworks, and infrastructure management.
  • Strong debugging, analytical, communication, and stakeholder management skills.

Good to Have

  • Experience with cloud-enabled EDA infrastructure and workload management systems.
  • Exposure toAI/ML-driven CAD optimization methodologies.
  • Knowledge of advanced technology nodes (5nm/3nm) and multi-die design flows.

Success in This Role Looks Like

  • Delivery of stable, scalable, and high-quality CAD flows adopted across multiple projects.
  • Significant improvements in design productivity,QoR, and runtime efficiency.
  • Fast resolution oftooland flow issues minimizing project execution risk.
  • Strong technical leadership, mentoring, and positive influence on engineeringmethodology.
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