<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>**This role requires relocation to Riyadh**</strong></p><p><br/></p><p>We’re partnering with a fast-scaling deep tech startup building next-generation AI infrastructure that combines cutting-edge hardware and software to deliver high-performance AI compute solutions.</p><p><br/></p><p><strong>The Opportunity</strong></p><p>We’re hiring a <strong>Head of Software Engineering </strong>to lead the development of a platform that can operate independently of underlying hardware. This is a critical leadership role focused on building a developer-first system that enables flexibility, performance, and global adoption.</p><p><br/></p><p><strong>The Role</strong></p><ul><li>Lead the development of a standalone orchestration platform</li><li>Define and execute the strategy to decouple software from hardware environments</li><li>Build and scale a developer-focused platform and ecosystem</li><li>Drive integrations with OEMs, cloud providers, and infrastructure partners</li><li>Own platform adoption and commercialisation through partnerships</li><li>Stay hands-on where needed—maintaining technical credibility with engineering teams</li><li>Engage with customers and partners at both technical and executive levels</li></ul><p><br/></p><p><strong>What They’re Looking For</strong></p><ul><li>Minimum 10+ years in software engineering with at least 4 years leading teams of 5 or more engineers.</li><li><strong>Deep expertise</strong> in at least two of: AI infrastructure, MLOps, distributed systems, GPU-accelerated workloads, HPC, or runtime systems programming</li><li>Strong background in GPU scheduling, KV-cache management, or LLM serving optimisation</li><li>Hands-on experience deploying and optimising AI infrastructure at production scale, ideally with multiple inference engines, utilities, and training frameworks.</li><li>Proven ability to ship production software through a full release cycle, not just a prototype</li><li>Strong fluency in Python, C++, and a systems language (Rust, Go, or modern C); comfort with JavaScript or TypeScript for tooling</li><li>Solid grounding in Linux internals, containers, GPU drivers, CUDA, and observability tooling</li></ul><p><br/></p><p><strong>Nice to Have</strong></p><ul><li>Direct experience with sovereign AI, on-premise LLM deployment, air-gapped systems, or AI in regulated industries (defence, energy, government, finance, healthcare)</li><li>Open-source contributions in the AI infrastructure space</li><li>Prior experience as a founding engineer or senior engineer at a deep-tech startup that reached commercial GA</li><li>Experience with security primitives: hardware fingerprinting, license enforcement, software protection, code obfuscation</li></ul><p></p> </div>