Founding Engineer

Company Description

Lucidy is a specialized consultancy at the forefront of software optimization for AI inference and high-performance computing (HPC). Originating as a global network connecting international clients with top remote talent, Lucidy now delivers hands-on, expert services. The company focuses on optimizing AI/ML models, accelerating HPC software, and modernizing legacy codebases. With deep technical expertise and a pragmatic approach, Lucidy transforms complex systems into efficient, scalable, and production-ready solutions.

Founding Engineer / Founding Partner (Fractional, No-Pressure) 🚀

I’m starting Lucidy, a small, high-end consultancy focused on AI, ML, and performance-critical systems. The idea is simple: do fewer projects, do them really well, and work with people who care deeply about engineering craft.

A bit of context first 👇

I’m currently fully employed, but because of my role, I do a lot of networking. Every now and then, interesting short-term consulting opportunities come my way, often exciting, often well-paid, but sometimes too large or too far outside my exact focus to take on alone. That’s why I want to properly kickstart Lucidy: so those opportunities don’t go to waste next time.

This is not a full-time role. There are no obligations on either side. I’m looking for one or a few people in a similar situation, ideally based in the Netherlands or Europe, who like the idea of slowly building something real together 🧱

About myself

I’m mainly an AI performance engineer, focused on ML inferencing (latency, throughput, cost, hardware-aware optimization). That said, I’m very open when it comes to specializations.

What I’m actually looking for 🤝

Think of this less as “hiring” and more as forming a founding bench.

Someone who:

Is already employed or otherwise stable

Occasionally has the bandwidth for interesting, well-scoped projects

Enjoys high-impact technical work without corporate overhead

Is curious about eventually turning this into something bigger

I’m especially interested in people working in or around:

AI / ML engineering (research → production)

AI research engineering 🧠

MLOps, deployment, reliability

HPC / distributed systems

GPGPU, CUDA, ROCm, kernel-level work

Systems engineering (Linux, networking, low-level performance)

Web/backend engineering (when projects need product-grade delivery)

If your work touches ML in any serious way, chances are we’ll get along.

How collaboration \& money works 💸 (no weirdness)

If I pass you a lead that’s outside my expertise or capacity and you take it on:

90% goes to you

10% goes to me to handle admin, contracts, invoicing, legal basics, etc.

If we work on a project together, we’ll agree on a fair split upfront, based on contribution and responsibility. No surprises, no awkward conversations later.

Also important:

I’m more than happy to share leads I come across that are simply not my thing, even if I’m not involved beyond making the introduction.

What this is not 🚫

Just to be very clear:

Not a full-time job

Not a retainer

Not an on-call role

No minimum hours

No long-term commitment required

If nothing comes in for a while, that’s fine. If something interesting does come in and you’re available, great.

The longer-term vision 🌱

If Lucidy grows a solid customer base, the intention is to go full-time together with the founding engineers and build a proper consultancy around trust, technical depth, and sane work.

No VC nonsense. No artificial scaling. Just good work with good people.

If this resonates ✨

Send me a short message with:

Who you are and where you’re based

What you’re strongest at (2–3 domains)

The kind of projects you do and don’t enjoy

How you’d like to be involved (hands-on, lead, occasional help, etc.)

You can reach me through the Lucidy website (www.lucidy.site) or directly on LinkedIn.