IT & Infrastructure Engineer (EDA / SoC / AI Platforms) in Pune, Mahārāshtra at TylSemi, Inc.

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 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.

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 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