IT And Infrastructure Engineer 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 IT & Infrastructure Engineer to support and operate the compute, network, and EDA environments required for complex SoC design across digital and analog domains.

This role will work closely with the IT & Infrastructure Architect to ensure reliable day-to-day operations while building scalable systems for EDA workflows, cloud infrastructure, and AI-enabled engineering environments.

Key Responsibilities

EDA & Engineering Support

• Install, configure, and maintain EDA tools and environments (Synopsys, Cadence, Siemens/Mentor)
• Support engineers with:
• Tool setup issues
• Environment/debug problems
• Flow execution challenges
• Assist in EDA license management:
• Monitoring usage
• Basic forecasting inputs
• Troubleshooting license issues
  
  

Compute & Systems Operations

• Manage and maintain compute servers, clusters, and storage systems
• Monitor system health, performance, and utilization
• Support job schedulers (LSF, Slurm, etc.) and ensure smooth execution of workloads
• Assist in managing cloud infrastructure (AWS or similar):
• Instance setup and scaling
• Basic cost tracking and optimization
• Execute tasks related to cloud vs on-prem workloads under guidance
  
  

Network & IT Operations

• Support network configuration and troubleshooting
• Manage:
• Linux systems and user environments
• Access control and permissions
• Backup and data management processes
• Ensure uptime and responsiveness of infrastructure for engineering teams
  
  

AI Infrastructure Support

• Assist in deployment and maintenance of AI/ML tools and platforms
• Help manage:
• API access and token usage
• Resource allocation for AI workloads
• Support implementation of AI usage policies and guardrails
  
  

Automation & Tooling

• Write scripts (Python/Bash) to:
• Automate routine tasks
• Improve system efficiency
• Simplify engineering workflows
• Contribute to building repeatable and scalable infrastructure processes
  
  

Required Qualifications

• Bachelor’s degree in Computer Science, IT, Electronics, or related field
• 3–7 years of experience in IT systems, infrastructure, or DevOps roles
• Strong working knowledge of:
• Linux system administration
• Basic networking concepts
• Scripting (Python, Bash, or similar)
• Exposure to:
• Compute clusters or server environments
• Cloud platforms (AWS preferred)
• Strong problem-solving and debugging skills
  
  

Preferred Qualifications

• Exposure to EDA environments (even at a basic level)
• Familiarity with job schedulers (LSF, Slurm)
• Experience supporting engineering teams or technical workloads
• Basic understanding of AI/ML infrastructure or tools
• Knowledge of storage systems (NFS, NAS, etc.)
  
  

Key Attributes

• Strong execution focus and willingness to get hands dirty
• High responsiveness and support mindset toward engineering teams
• Eagerness to learn EDA and semiconductor workflows
• Attention to detail and reliability
• Ability to work in a fast-paced startup environment
  
  

Success Metrics

• Fast resolution of infrastructure and tool issues
• High system uptime and reliability
• Smooth execution of EDA workflows and regressions
• Improved efficiency through automation
• Strong support satisfaction from engineering teams
  
  

Growth Path

This Role Is Designed To Grow Into

• Senior Infrastructure Engineer, or
• Infrastructure/Platform Architect, with deeper ownership of EDA, cloud strategy, and AI platforms

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