About Us We're revolutionizing semiconductor design with AI. Every smartphone, car, and AI system depends on chips that currently take years and hundreds of millions to design. Our AI-powered platform automates complex design tasks, dramatically reducing time-to-market and development costs in the $600B+ semiconductor industry. Currently bootstrapped and in pre-seed discussions, we're building the future of chip design. The Opportunity As a Founding AI/ML Engineer, you'll: Shape & Lead Build our technical foundation with entrepreneurial autonomy Mentor junior engineers and set technical standards Drive product direction, architecture, and company culture Innovate & Deliver Identify critical challenges and architect elegant solutions Bridge technical and business stakeholders with exceptional communication Tackle both ML and non-ML engineering challenges Grow & Build Join a high-caliber team valuing technical excellence and startup spirit Prioritize learning and long-term career trajectory Embrace significant upside potential in a fast-moving startup What You'll Do Research: Stay ahead of LLMs, VLMs, and GenAI advances, translating cutting-edge research into practical chip design solutions Engineering: Own the full ML lifecycle—data processing, model architecture, training, evaluation, and MLOps. Design and maintain production LLM applications Collaboration: Partner with product engineers, designers, and data scientists to build AI solutions that transform chip design workflows Communication: Effectively convey complex technical concepts to diverse audiences Required Qualifications Education Bachelor's or Master's in Computer Science, Engineering, Math, or related field Ph.D. or equivalent experience is a plus Experience (3+ years in ML) Deployed AI models in real-world production applications Instruction fine-tuning and prompt engineering for domain-specific LLMs Built retrieval-augmented generation (RAG) pipelines LLM inference optimization (e.g., vLLM) Cloud deployment and scaling of AI/ML systems LLM APIs (OpenAI, Azure OpenAI, Hugging Face) Bonus Experience LangGraph, GPU/TPU provisioning, Kubernetes/MLOps Context management (chunking, summarization, sliding windows) AI-assisted coding tools and code generation challenges Model monitoring and MLOps workflows Technical Skills Core: Expert Python, PyTorch Backend: Flask, FastAPI, Django for APIs and services DevOps: Docker, Kubernetes, AWS/Azure/GCP Plus: JavaScript/TypeScript, React/Angular/Vue.js, Node.js, SQL/NoSQL, REST/GraphQL APIs Preferred Qualifications Research papers in AI/ML venues or impactful technical blog posts Active open-source contributions, Kaggle competitions Prior startup experience in fast-paced environments Why Join Us? Founding team impact on a transformative technology High-growth potential in a massive industry Work with cutting-edge AI/ML technologies Collaborative, high-caliber team environment Significant equity upside potential Location: Bangalore, India How to Apply: Send your resume and a brief note about why you're interested to hiring@asicbot.ai. Passionate about advancing AI and thriving in dynamic environments? Let's talk. #hiring #aiml #machinelearning #semiconductors #startup #bangalore #foundingteam
About Us We're revolutionizing semiconductor design with AI. Every smartphone, car, and AI system depends on chips that currently take years and hundreds of millions to design. Our AI-powered platform automates complex design tasks, dramatically reducing time-to-market and development costs in the $600B+ semiconductor industry. Currently bootstrapped and in pre-seed discussions, we're building the future of chip design. The Opportunity As a Founding AI/ML Engineer, you'll: Shape & Lead Build our technical foundation with entrepreneurial autonomy Mentor junior engineers and set technical standards Drive product direction, architecture, and company culture Innovate & Deliver Identify critical challenges and architect elegant solutions Bridge technical and business stakeholders with exceptional communication Tackle both ML and non-ML engineering challenges Grow & Build Join a high-caliber team valuing technical excellence and startup spirit Prioritize learning and long-term career trajectory Embrace significant upside potential in a fast-moving startup What You'll Do Research: Stay ahead of LLMs, VLMs, and GenAI advances, translating cutting-edge research into practical chip design solutions Engineering: Own the full ML lifecycledata processing, model architecture, training, evaluation, and MLOps. Design and maintain production LLM applications Collaboration: Partner with product engineers, designers, and data scientists to build AI solutions that transform chip design workflows Communication: Effectively convey complex technical concepts to diverse audiences Required Qualifications Education Bachelor's or Master's in Computer Science, Engineering, Math, or related field Ph.D. or equivalent experience is a plus Experience (3+ years in ML) Deployed AI models in real-world production applications Instruction fine-tuning and prompt engineering for domain-specific LLMs Built retrieval-augmented generation (RAG) pipelines LLM inference optimization (e.g., vLLM) Cloud deployment and scaling of AI/ML systems LLM APIs (OpenAI, Azure OpenAI, Hugging Face) Bonus Experience LangGraph, GPU/TPU provisioning, Kubernetes/MLOps Context management (chunking, summarization, sliding windows) AI-assisted coding tools and code generation challenges Model monitoring and MLOps workflows Technical Skills Core: Expert Python, PyTorch Backend: Flask, FastAPI, Django for APIs and services DevOps: Docker, Kubernetes, AWS/Azure/GCP Plus: JavaScript/TypeScript, React/Angular/Vue.js, Node.js, SQL/NoSQL, REST/GraphQL APIs Preferred Qualifications Research papers in AI/ML venues or impactful technical blog posts Active open-source contributions, Kaggle competitions Prior startup experience in fast-paced environments Why Join Us Founding team impact on a transformative technology High-growth potential in a massive industry Work with cutting-edge AI/ML technologies Collaborative, high-caliber team environment Significant equity upside potential Location: Bangalore, India How to Apply: Send your resume and a brief note about why you're interested to [HIDDEN TEXT]. Passionate about advancing AI and thriving in dynamic environments Let's talk. #hiring #aiml #machinelearning #semiconductors #startup #bangalore #foundingteam