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Principal Systems Engineer (Binary Compute Engine)

We've built Dweve Core, a library of 1,930 hand-optimized algorithms running across CPU (AVX-512), GPU (CUDA), and FPGA platforms. Right now, one person understands how all of it works. We need to change that.

This isn't about documenting existing code. This is about becoming the second person on earth who truly understands this engine. You'll take complete ownership of Dweve Core across all platforms: optimizing SIMD kernels for AVX-512, writing CUDA kernels for GPUs, and crafting FPGA implementations. You'll make them faster. You'll extend them to new hardware. You'll be the one people come to when something breaks at 3am. This is metal-to-the-metal work across every compute platform. You'll be writing Rust that compiles to the tightest assembly, hand-optimizing CUDA kernels, reading instruction set manuals for breakfast, and thinking in terms of cache lines, warp divergence, and FPGA fabric utilization.
Netherlands or Germany
Full-time
Remote Friendly

Ready to Apply?

Join our mission to advance AI

Competitive salary & equity
Work-life balance & flexibility
Make meaningful impact on AI
Applications reviewed weekly

Questions about this role?

Contact our team

Key Responsibilities

Take complete ownership of Dweve Core. All 1,930 algorithms across CPU, GPU, and FPGA platforms. Make them yours.
Optimize across compute paradigms: SIMD intrinsics for CPUs, CUDA kernels for GPUs, hardware implementations for FPGAs.
Design and implement new ultra-high-performance primitives. Every operation you write will run billions of times.
Profile, benchmark, and optimize across platforms. Find bottlenecks whether they're in cache hierarchies, memory coalescing, or FPGA routing.
Extend our BitOps compiler to target multiple backends: x86-64, ARM, CUDA, and FPGA fabrics.
Be the person who understands this codebase as deeply as our CTO does. Maybe deeper.
Plan the future: what hardware comes next? New ISA extensions? Next-gen GPUs? Custom silicon? You'll help us figure it out.

Requirements

Expert-level knowledge in Rust, C++, or both. You write high-quality systems code.
Deep experience with SIMD programming (AVX-512, SVE2, NEON) and GPU programming (CUDA, ROCm).
Fluent in English. Dutch fluency is helpful but not required.
You understand computer architecture at a deep level across CPU, GPU, and FPGA. Cache hierarchies, warp scheduling, memory coalescing, FPGA fabric.
Experience across multiple compute paradigms. Bonus points for FPGA development (Verilog, VHDL), GPU kernel optimization, or ISA-level CPU tuning.
Background in compilers, HPC, or heterogeneous computing.
You don't need a degree. You don't need to be an AI expert. But you should be someone who profiles code regularly and cares deeply about performance.

What We Offer

Competitive salary for Netherlands/Germany, plus significant equity in a bootstrapped company.
You'll work on performance-critical AI infrastructure. Every query we process runs through your code.
You'll learn from a CTO who's been optimizing systems for 25 years and built infrastructure handling billions of daily transactions.
Flexible hybrid work. Come to the office when collaboration matters. Work from home when you need deep focus.
€5,000 annual budget for whatever makes you better: courses, conferences, hardware, books.
Full health insurance, 30 days vacation, and meaningful technical work.

Ready to join?

If you've ever looked at a hot loop and thought "I can make this 10% faster," if you've profiled code and felt genuine joy at shaving off microseconds, if the idea of squeezing every last cycle out of silicon makes your heart beat faster, we need to talk. We're not looking for someone who can maintain this code. We're looking for someone who will make it their life's work to perfect it.

About Dweve

We're building the future of AI with binary neural networks that use 60-80% less energy than traditional models. Our European-first approach prioritizes privacy, transparency, and sustainable technology.

Join us in creating AI that actually serves people instead of exploiting them. Your work will have direct impact on making AI more accessible, efficient, and ethical.

Department

Engineering

Build the core technology that powers Dweve's AI platforms

Location & Work Style

Netherlands or Germany
Hybrid & Remote Options
Flexible Hours

Application Process

1
Submit application
2
Initial screening call
3
Technical interview
4
Team fit conversation
5
Offer & onboarding

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Principal Systems Engineer (Binary Compute Engine)

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