Solutions Engineer, AI for Chip Design

ROLE DESCRIPTION

This is a full-time, on-site position for a Solutions Engineer, AI for Chip Design based in San Jose, CA. In this role, you will:

• Deploy agentic AI systems into real semiconductor design engineering workflows

• Work directly with leading semiconductor companies to understand design workflows, identify high-value pain points, define success metrics, and validate impact

• Collaborate closely with AI researchers, EDA researchers, infrastructure engineers, and chip design experts to solve challenging design problems

• Turn ambiguous customer problems into working prototypes, production deployments, and reusable product capabilities

• Design evaluations, analyze failures, debug workflows, and improve agent systems through real-world feedback

• Build polished technical demos, customer-facing slides, and compelling proof-of-value presentations

• Independently prototype and rig together quick demos to show what is possible before a full product or engineering team is available

• Anticipate customer needs across verification, RTL, physical design, and custom design, and proactively build toward future applications

• Move fast, learn constantly, and own technical outcomes end-to-end

As a Solutions Engineer, you will help shape both the product direction and the future workflows of AI-native chip development. This is a hands-on, customer-facing technical role for someone who combines chip design depth, AI curiosity, strong communication, and startup-level execution.

QUALIFICATIONS

We are looking for someone who has:

• BS/MS degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field

• 3+ years of chip design experience in at least one of the following areas: design verification, RTL design, physical design, or custom design

• Strong technical credibility with semiconductor engineering teams, with the ability to speak peer-to-peer with design, verification, CAD, and EDA engineers

• Familiarity with generative AI systems, agentic workflows, or multi-agent architectures

• Comfortable working directly with customers, including understanding requirements, presenting technical ideas, and handling open-ended technical discussions

• Strong problem-solving ability in messy, real-world engineering environments

• High energy, adaptability, curiosity, and willingness to learn quickly

• Excellent verbal and written communication skills

• Ability to thrive in a fast-moving, highly collaborative startup environment

WHAT MAKES YOU STAND OUT

You will stand out if you have:

• Experience across multiple parts of the chip design stack, especially RTL design, design verification, and physical design

• Built or deployed agentic AI systems for real chip design, EDA, or semiconductor engineering workflows

• Developed innovative chip design methodologies, EDA algorithms, design automation scripts, or internal productivity tools

• Strong software development and systems skills, with the ability to quickly build prototypes, connect tools, automate flows, and create working demos

• A strong customer presence: outgoing, engaging, confident, and comfortable presenting to senior engineering teams

• Ability to create polished, impressive demo slides and deliver them clearly

• A scrappy, self-sufficient working style — able to make progress without waiting for perfect infrastructure or a large support team

• A speculative, product-oriented mindset — able to anticipate customer pain points and imagine new applications before customers fully articulate them

• Published work in chip design, EDA, AI for hardware, or related technical areas

• Experience working in startup-like environments where speed, ownership, and ambiguity are part of the job

IDEAL CANDIDATE PROFILE

The ideal candidate is a technically deep chip design engineer who is excited about AI, enjoys working with customers, and can translate real semiconductor pain points into working agentic solutions.

You should be credible enough to engage directly with experienced customer engineering teams, energetic enough to lead demos and workshops, and scrappy enough to build prototypes independently. You are not only reacting to customer requests — you are actively thinking ahead about where agentic AI can transform chip design workflows.