AI Platform Architect (Semiconductor Design)

Role Overview

We are building an AI-first semiconductor company , where AI is deeply embedded into every aspect of engineering—from architecture and RTL design to verification, physical design, and operations.

We are looking for a highly capable AI Engineer / AI Platform Architect who will define and drive our AI strategy, infrastructure, and agent-based workflows for semiconductor design. This role sits at the intersection of AI, EDA, and engineering productivity , and will be instrumental in transforming how chips are built.

What You’ll Do

AI Strategy & Vision

Define and execute the AI roadmap for semiconductor design workflows across:

Architecture

RTL design

Verification

Physical design

Analog design

Identify high-impact opportunities where AI can significantly improve:

Productivity

Quality

Time-to-silicon

Serve as the central thought leader for AI adoption across the company

AI Infrastructure & Platform

Architect and deploy AI infrastructure , including:

Cloud-based (e.g., AWS) and/or on-prem (air-gapped) environments

GPU/compute resource planning and scaling

Define strategy for:

Model hosting vs API usage

Offline/private model deployment for IP-sensitive environments

Build systems for:

Data management, protection, and governance

IP security and compliance

Auditability and traceability of AI-generated outputs

AI Agents & Workflow Automation

Work closely with engineering teams to:

Identify workflows suitable for AI agent automation

Define multi-step agent pipelines spanning different tools and domains

Design and implement AI agents that can:

Interact with EDA tools

Execute multi-stage workflows (e.g., generate → simulate → analyze → refine)

Integrate across RTL, DV, and physical design flows

Build reusable agent frameworks and orchestration layers

AI Guardrails & Governance

Define and enforce AI guardrails , including:

Safe usage policies

Data privacy and IP protection

Model access controls

Manage:

Token usage and cost optimization

Access policies for different teams

Ensure AI usage aligns with enterprise-grade security standards

LLM & Tooling Expertise

Evaluate and recommend LLMs and AI tools for different use cases:

Code generation

Debugging

Documentation

Data analysis

Continuously benchmark and optimize model selection across:

Performance

Cost

Privacy constraints

Stay current with advancements in:

LLMs

Agent frameworks

AI tooling ecosystem

Enablement & Training

Train engineering teams to:

Effectively use AI tools and agents

Build their own custom AI agents

Apply prompt engineering best practices

Create documentation, playbooks, and templates for:

AI-assisted workflows

Agent development

Drive a culture of AI-native engineering

What We’re Looking For

Bachelor’s/Master’s/PhD in Computer Science, Electrical Engineering, or related field

12+ years of experience in AI/ML, systems, or platform engineering

Strong experience in:

LLMs and generative AI systems

Building AI-powered tools or platforms

Designing scalable AI infrastructure (cloud and/or on-prem)

Experience with:

Agent frameworks and orchestration systems

API-based and self-hosted models

Solid understanding of:

Data security, privacy, and IP protection in AI systems

Strong software engineering skills (Python required)

Good to Have

Experience working with semiconductor or EDA workflows

Familiarity with:

RTL, verification, or physical design flows

Experience with:

Air-gapped or secure AI deployments

GPU clusters and distributed training/inference

Knowledge of:

Prompt engineering techniques

Retrieval-augmented generation (RAG)

Workflow automation systems

Exposure to DevOps / MLOps practices

Key Attributes

Strong systems thinker with end-to-end ownership mindset

Ability to bridge AI and domain engineering (EDA/SoC)

Highly proactive with a builder mentality

Passionate about transforming traditional workflows using AI

Strong communication and influence across teams

Success in This Role Looks Like

Adoption of AI across engineering workflows

Measurable improvements in productivity and quality

Effective deployment of AI agents across multiple domains

Secure and scalable AI infrastructure

Reduced cost and improved efficiency of AI usage

Engineers enabled to independently build and use AI agents

Why This Role Matters

This is a foundational role in shaping an AI-native semiconductor company . You will define not just tools, but how engineering itself is done , and directly impact the speed, quality, and innovation of our products.

Location

Hybrid / On-site – Bengaluru

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?