IT And Infrastructure Architect EDA SoC AI Platforms

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?

Thats 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 isnt a nice-to-have. Its the critical path.

Why Now

The Market Window

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

• Moores 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 — theyre 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: Were entering the market at exactly the moment when every major AI/HPC player needs what were 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

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

This is a company, not a lifestyle business. Were building to win.

What We Value

• Ownership mindset. Youre not here to execute someone elses roadmap. Youre here to define it.
• Bias for action. We move fast. Analysis paralysis doesnt fly here.
• Deep technical expertise. This is hard engineering. We need people whove shipped real silicon and debugged real hardware.
• Low ego, high standards. We dont care about titles or politics. We care about results.
  
  

The Ask

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

Were asking you to walk away from that and bet on us.

Heres Why You Should

• The market is real. AI infrastructure spending is $200B+ annually and growing 40% YoY. Every hyperscaler needs what were building.
• The team has done this before. Weve built and exited semiconductor companies at scale. This isnt our first rodeo.
• The traction is de-risked. We have LOIs, strategic investors, and a clear path to revenue.
• The work is consequential. Youre not optimizing someones ad click-through rate. Youre 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 youre the kind of person who wants to take the shot, wed love to talk.

READY TO JOIN?

Role Overview

We are looking for a hands-on and highly strategic IT & Infrastructure Admin to build and manage the end-to-end compute, storage, network, and EDA infrastructure required for designing complex SoCs across digital and analog domains.

This role goes beyond traditional IT—it requires deep ownership of EDA environments, compute strategy (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 of EDA tools and environments for:
• Digital design and verification
• Analog and custom design flows
• Manage tool installations, upgrades, and compatibility across flows
• Drive EDA license management, including:
• Forecasting demand across teams and projects
• Optimizing utilization and cost
• Vendor coordination and negotiations
• Ensure high availability and performance of compute farms and storage systems
  
  

Compute & Platform Strategy

• Define and execute strategy for cloud 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)
• Optimize job scheduling, workload distribution, and resource utilization
  
  

Network & Systems Management

• Design and manage high-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 of AI/ML infrastructure for engineering workflows
• Work with AI and engineering teams to:
• Enable AI agent workflows
• Optimize compute usage (GPU/CPU allocation)
• Define and enforce AI usage guardrails, including:
• Data security and IP protection
• Safe usage policies for internal and external AI tools
• Manage token usage, cost tracking, and access control for AI platforms
  
  

Planning, Forecasting & Cost Optimization

• Develop and maintain forecasts for:
• Compute infrastructure (cloud + on-prem)
• EDA licenses
• Storage and network capacity
• Continuously optimize for cost vs performance vs scalability trade-offs
• Provide leadership with data-driven recommendations on infrastructure investments
  
  

Required Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field
• 10+ years of experience in IT 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 managing large-scale compute and storage systems
• Strong understanding of networking fundamentals (high-performance networks preferred)
• Experience with cloud platforms (AWS preferred)
  
  

Preferred Qualifications

• Experience supporting SoC design teams (RTL, DV, Analog)
• Familiarity with analog simulation environments and their compute demands
• Experience with hybrid cloud architectures
• Exposure to GPU infrastructure and AI/ML workloads
• Scripting skills (Python, Bash, etc.) for automation
• Experience with security and compliance in IP-sensitive environments
  
  

Key Attributes

• Strong ownership and end-to-end accountability mindset
• Ability to balance technical depth with strategic decision-making
• Bias toward automation, scalability, and efficiency
• Strong problem-solving and operational excellence
• Comfortable working in a fast-paced startup environment
  
  

Success Metrics

• Reliable, scalable infrastructure supporting high engineering productivity
• Optimized EDA license utilization and cost efficiency
• Effective cloud vs on-prem strategy with measurable ROI
• Minimal downtime and high system availability
• Secure and efficient AI infrastructure adoption
• Ability to scale infrastructure seamlessly with company growth

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