Careers

SiliconMind is building private AI systems for semiconductor engineering. We work close to the design flow itself: specs, RTL, verification, implementation, debugging, and the messy handoffs between them. We are hiring for one role today, but the page is called Careers because we want the framing to be broader than a standard job ad. We are looking for people who want to help define how AI is actually introduced into chip development, not just talk about it from a distance.

Current Opening

Solutions Engineer, AI for Chip Design

Taipei, Taiwan, R.O.C.
Full-time, on-site

This role sits in the middle of three realities at once: semiconductor workflows as they exist today, AI systems as they behave in practice, and customer organizations that need something useful rather than something fashionable. The job is to connect those three well.

Why This Role Exists

Most chip teams do not need abstract AI promises. They need systems that can survive real design reviews, ambiguous specifications, fragmented internal tooling, and the standards of experienced engineers who will quickly reject anything shallow. That is the environment this role operates in.

You will work with customers and internal researchers to identify where an AI system can produce durable leverage, then help shape the path from early concept to usable deployment. Sometimes that means running a workshop and extracting a workflow bottleneck from a vague discussion. Sometimes it means building a narrow prototype in a few days to test whether the idea deserves deeper product investment.

What You Would Be Owning

• Translate design-team pain points into concrete technical opportunities.
• Work with semiconductor engineers to understand how decisions are made across design, verification, CAD, and implementation workflows.
• Help deploy AI systems into environments where privacy, reliability, and engineering trust matter.
• Prototype quickly when the best way to clarify a problem is to make something and show it.
• Design evaluations that measure whether a system is actually helping rather than merely producing plausible output.
• Investigate failure cases and push the system toward more useful behavior through iteration with researchers and engineers.
• Present technical findings clearly to customer teams, including tradeoffs, limitations, and next steps.
• Contribute to the shape of the product by bringing field reality back into the engineering loop.

The Background That Transfers Well

We are not optimizing for one exact resume. We are looking for a person with enough technical depth to earn credibility fast and enough range to operate in a customer-facing role.

This role is likely a strong fit if you bring several of the following:

• A degree in electrical engineering, computer engineering, computer science, or a related discipline.
• Meaningful hands-on experience in chip design or adjacent semiconductor workflows.
• Familiarity with at least one substantial part of the design stack, such as RTL, verification, custom design, or design automation.
• Good engineering instincts around tools, scripts, prototypes, and workflow integration.
• Comfort operating in open-ended situations where the first problem statement is incomplete.
• Interest in modern AI systems, especially when they are used as components inside a larger engineering workflow rather than isolated chat interfaces.
• Strong written and spoken communication with technical audiences.

Signals That Would Make You Stand Out

• You have built internal automation that real engineers depended on.
• You can move between hardware discussions and software implementation without losing precision in either.
• You have worked directly with demanding users and know how to turn rough feedback into a better system.
• You understand that demos are not just visual polish; they are instruments for proving that a workflow can change.
• You are comfortable admitting where an AI system is weak, then tightening the loop until it becomes useful.

Practical Requirements

• This is an on-site position in Taipei.
• The role requires regular interaction with customers and internal technical teams.
• The work is best suited to someone who is comfortable owning outcomes across discovery, prototyping, evaluation, and communication.

How We Work

SiliconMind is a small team. That means the work is high-context and hands-on. The upside is that useful ideas can move quickly from discussion to experiment to deployment. The constraint is that you need to be effective without waiting for a large support structure.

We value engineers who can think clearly, write clearly, and keep technical standards high even when moving fast. If you prefer narrowly bounded work with fixed interfaces and long planning cycles, this is probably not the right role. If you enjoy learning a domain deeply, building in uncertainty, and helping shape the product through direct contact with real usage, it may be a strong match.

Applying

Send your resume and a short note explaining why this role fits your background to [email protected].

If you have built something relevant, include it. A concise explanation of a design-automation tool, deployment, evaluation framework, or internal workflow improvement is often more useful than a generic cover letter.