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Front-End Deployment Engineer

United States, Santa Clara · Job Posted May 27, 2026
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Job Description

We are seeking a Front-End 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.

Job Responsibility

  • Lead the technical deployment of Abotts products into customer workflows, managing Proof of Concepts (PoCs) and full-scale enterprise integrations
  • Deep-dive into customers' specific hardware design and verification challenges, applying GenAI tools and your understanding of LLMs to automate tasks
  • Analyze existing customer design methodologies and map them to our AI-native capabilities, demonstrating a clear 10-100x improvement in engineering productivity
  • 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
  • Train customer engineering teams on best practices for using AI-assisted EDA tools and hardware-specific prompt engineering, ensuring high adoption and customer success

Requirements

  • 5+ years of hands-on experience in Front-End Semiconductor Design and Verification
  • Deep proficiency in SystemVerilog, Verilog, and RTL design
  • Strong understanding of current verification methodologies (e.g., UVM, formal verification, coverage-driven verification, and simulation debugging)
  • 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
  • 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
  • GenAI & LLM Proficiency: You have hands-on experience or a strong, practical understanding of using Large Language Models (LLMs) and Generative AI

What we offer

  • 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

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