IT & Infrastructure Architect (EDA / SoC / AI Platforms)

TylSemi, Inc.; Karnataka; On-site; INR 900,000 - 1,500,000; Full time

Job summary

TylSemi, Inc. is seeking a hands-on IT & Infrastructure Architect to build and manage end-to-end compute, storage, network, and EDA infrastructure for complex SoCs across digital and analog domains.

The role requires deep ownership of EDA environments, compute strategy (cloud vs on-prem), cost optimization, and AI infrastructure enablement to ensure high performance, reliability, and scalable engineering workflows.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field.
• 10+ years IT infrastructure / systems engineering experience.
• Experience with EDA tool environments and large compute/storage systems.
• Strong networking fundamentals and Linux administration.
• Experience with cloud platforms (AWS preferred).

Responsibilities

• Own setup, deployment, and management of EDA tools and environments.
• Define compute platform strategy: cloud vs on-prem and cost optimization.
• Manage high-performance compute farms, storage systems, and licenses.
• Design and operate network infrastructure for low-latency workloads.
• Enable AI/ML infrastructure for engineering workflows and guardrails.

Skills

EDA tools

Linux admin

Cluster scheduling

Networking basics

AWS cloud

Education

Bachelor's in CS/EE

Tools

Synopsys

Cadence

Mentor Graphics

Job description

IT & Infrastructure Architect (EDA / SoC / AI Platforms)

About this position

About TylSemi, Inc.

The Opportunity

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 thechiplet 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 NowThe 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 WorkNo 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.

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 looking for a hands-on and highly strategicIT & Infrastructure Adminto build and manage the end-to-endcompute, storage, network, and EDA infrastructurerequiredfor designing complex SoCs acrossdigital and analog domains.

This role goes beyond traditional IT—it requires deep ownership ofEDA environments,computestrategy (cloud vs on-prem), cost optimization, and AI infrastructure enablement, ensuring high performance, scalability, and reliability for engineering teams.

Key Responsibilities

EDA & Engineering Infrastructure

Own setup, deployment, and management ofEDA tools and environmentsfor: Digital design and verification Analog and custom design flows Managetool installations, upgrades, and compatibilityacross flows DriveEDA license management, including: Forecasting demand across teams and projects Optimizingutilizationand cost Vendor coordination and negotiations Ensure high availability and performance ofcompute farms and storage systems

Compute & Platform Strategy

Define and execute strategy forcloud vs on-prem infrastructure: Evaluate AWS (or other cloud platforms) vs owned/rented servers Build cost models and ROI analysis for different scaling scenarios Design scalable infrastructure for: Large regressions (DV workloads) RTL synthesis and physical design Analog simulations (compute-intensive workloads) Optimizejob scheduling, workload distribution, and resourceutilization

Network & Systems Management

Design and managehigh-performance network infrastructure: Low-latency, high-throughput connectivity for EDA workloads Secure remote access for distributed teams Manage: Servers, storage (NAS/SAN), and backup systems OS environments (primarily Linux-based) Data security, access control, and disaster recovery

AI Infrastructure & Enablement

Support deployment and scaling ofAI/ML infrastructurefor engineering workflows Work with AI and engineering teams to: EnableAI agent workflows Optimizecompute usage (GPU/CPU allocation) Define and enforceAI usage guardrails, including: Data security and IP protection Safe usage policies for internal and external AI tools Managetoken usage, cost tracking, and access controlfor AI platforms

Planning, Forecasting & Cost Optimization

Develop andmaintainforecasts for: Compute infrastructure (cloud + on-prem) EDA licenses Storage and network capacity Continuouslyoptimizeforcost vs performance vs scalability trade-offs Provide leadership withdata-driven recommendationson infrastructure investments

Required Qualifications

Bachelor’s degree in Computer Science, Electrical Engineering, or related field 10+ years of experience inIT infrastructure / systems engineering, preferably in semiconductor or EDA environments Strong experience with: EDA tool environments(Synopsys, Cadence, Siemens/Mentor) Linux system administration Compute cluster management and job schedulers (LSF,Slurm, etc.) Experience managinglarge-scale compute and storage systems Strong understanding ofnetworking fundamentals(high-performance networks preferred) Experience withcloud platforms (AWS preferred)

Preferred Qualifications

Experience supportingSoC design teams (RTL, DV, Analog) Familiarity withanalog simulation environments and their compute demands Experience withhybrid cloud architectures Exposure toGPU infrastructure and AI/ML workloads Scripting skills (Python, Bash, etc.) for automation Experience withsecurity and compliance in IP-sensitive environments

Key Attributes

Strong ownership andend-to-end accountability mindset Ability to balancetechnical depth with strategic decision-making Bias towardautomation, scalability, and efficiency Strong problem-solving and operational excellence Comfortable working in afast-paced startup environment

Success Metrics

Reliable, scalable infrastructure supportinghigh engineering productivity OptimizedEDA licenseutilizationand cost efficiency Effectivecloud vs on-prem strategywith measurable ROI Minimal downtime and high system availability Secure and efficientAI infrastructure adoption Ability to scale infrastructure seamlessly with company growth