{"company":"

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":"

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.

Key Responsibilities

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

Required Qualifications

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

- 8+ 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)

Preferred Qualifications

- 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

- Solid communication and influence across teams

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Platform Architect (Semiconductor Design) (Bengaluru)
🏢 tylsemi
📍 Bengaluru