Lead Application Engineer – Custom IC Front-End (Analog Simulation & AI-Enabled Flows)

TL;DR

Lead Application Engineer – Custom IC Front-End (Analog Simulation & AI-Enabled Flows): Provide expert technical support for hirify.global custom IC front-end solutions with an accent on analog simulation and AI-assisted design/debug flows. Focus on enabling customer success through product evaluations, onsite debugging, and validation of AI-driven workflows that improve productivity and accelerate problem resolution.

Location: Milan, Italy

Company

hirify.global develops computational software and Intelligent System Design solutions for electronic design, turning design concepts into real hardware and IP.

What you will do

• Support Custom IC front-end solutions, including analog simulation using Spectre, Explorer, and Assembler, plus AI-assisted analog productivity, debug, and automation flows.
• Run product demonstrations, customer evaluations, and technical training sessions.
• Deliver technical presentations to customers and internal stakeholders.
• Own customer technical issue management: document, prioritize, and drive issues to resolution while maintaining high customer satisfaction.
• Lead technical discovery meetings and perform onsite debugging sessions with customers.
• Evaluate and validate AI-driven workflows for analog/custom design and provide feedback to Engineering and Product Marketing based on customer requirements and field use cases.

Requirements

• Master’s degree in Electronic Engineering.
• 5–10 years of industry experience in IC design or EDA tools.
• Strong experience with Linux/Unix environments.
• Strong analog IC design experience at mature and/or advanced technology nodes.
• Hands-on experience with SPICE simulation tools and a solid understanding of the front-end design flow.
• Fluency in Italian and English.

Culture & Benefits

• Work with AE peers, R&D, sales, and Product Marketing, including direct engagement with leading semiconductor customers.
• Travel to customer sites is required for onsite engagements and debugging sessions (frequency varies by account and project needs).
• Focus on enabling adoption of emerging AI-driven workflows to improve engineering productivity and outcomes.

Hiring process

• Technical discovery and evaluation of fit through discussions around analog simulation, front-end flows, and AI-enabled design/debug workflows.
• Interviews with relevant stakeholders across Application Engineering, R&D, and customer-facing teams.