Forward Deployment Engineer (Hardware / EDA)

About llmda.ai

llmda.ai is at the forefront of the hardware design revolution. Backed by top-tier investors and founded by an exceptional team of domain experts, we are building the world’s first Generative AI-based semiconductor design platform. Our mission is to unify hardware and chip design processes, integrating Agentic AI with semantic engines to automate analysis, drastically reduce re-spins, and identify design issues before they become costly failures. We operate as a dynamic, hybrid workforce with a “go get it done” culture, deeply committed to redefining how the physical world is engineered.

The Role

We are seeking a Forward Deployment Engineer to serve as the critical bridge between our groundbreaking AI technology and our customers’ engineering teams. In this role, you will leverage your deep understanding of traditional front-end semiconductor design alongside practical expertise in Large Language Models (LLMs). You will act as a technical consultant, problem-solver, and product evangelist, showing top-tier semiconductor and hardware companies how to successfully adopt our LLM-powered platform to eliminate bottlenecks and accelerate their product launches.

What You Will Do

• Customer Deployment & Integration: Lead the technical deployment of llmda.ai’s products into customer workflows, managing Proof of Concepts (PoCs) and full-scale enterprise rollouts.
• LLM-Driven Problem Solving: Deep-dive into customers’ specific hardware design and verification challenges. Apply llmda’s GenAI tools and your understanding of LLMs to automate tasks.
• Workflow Optimization: Analyze existing customer design methodologies and map them to our AI-native capabilities, demonstrating a clear 10-100x improvement in engineering efficiency.
• Product Feedback Loop: Act as the “Voice of the Customer.” Translate your field experiences and customer feature requests into actionable insights for our internal ML, AI, and Product Engineering teams to improve our model performance.
• Technical Enablement: Train customer engineering teams on best practices for using AI-assisted EDA tools and hardware-specific prompt engineering, ensuring high adoption and customer success.

What We Are Looking For

• Domain Expertise: 5+ years of hands-on experience in Front-End Semiconductor Design or Verification. You intimately understand the chip design lifecycle from specification to synthesis.
• GenAI & LLM Proficiency: You have hands-on experience or a strong, practical understanding of using Large Language Models (LLMs) and Generative AI. You are familiar with how to leverage these tools specifically for hardware engineering tasks (e.g., using AI for code generation, architectural exploration, or automated debugging).
• Technical Stack: Deep proficiency in SystemVerilog, Verilog, and RTL design.
• Verification Mastery: Strong understanding of current verification methodologies (e.g., UVM, formal verification, coverage-driven verification, and simulation debugging).
• Customer-Facing Experience: Previous experience as a Field Application Engineer (FAE), Corporate Applications Engineer (CAE), Deployment Engineer, or a similar customer-facing technical role within the EDA or semiconductor IP industries.
• Scripting & Automation: Familiarity with scripting languages (Python, Tcl, Perl) commonly used in hardware environments to stitch tools and workflows together.
• Adaptability: You thrive in a dynamic startup environment. You are excited by the prospect of replacing legacy methodologies with cutting-edge AI and can iterate quickly to deliver results.

• Adaptability: You thrive in a dynamic startup environment. You are excited by the prospect of replacing legacy methodologies with cutting-edge AI and can iterate quickly to deliver results.

Why Join Us?

• Be Part of the Success Story: Join a company with significant early traction and blue-chip customer validation.
• Groundbreaking Impact: You won’t just be selling another incremental EDA tool; you will be deploying a platform that fundamentally transforms how the industry approaches hardware design using AI.
• Culture of Action: We value innovation, fast implementation, and a collaborative environment where your technical expertise directly shapes the company’s trajectory.
• Growth & Ownership: As an early deployment leader, you will help define the customer success playbook for the entire company.

Benefits

🏥 Medical, dental & vision

We offer competitive medical, dental, vision insurance for employees and dependents. This includes medical, dental, and vision premiums.

💪🏻 Gym membership

A paid membership to the gym on-site so you can recharge, de-stress, and stay active on your own schedule.

📋 401(k) Retirement Savings Plan

Company-sponsored retirement savings to help you build a secure future while you work toward your goals today.

llmda is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.