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Head of Software Engineering GPU
Job in
Riyadh, Riyadh Region, Saudi Arabia
Listed on 2026-05-17
Listing for:
Talent Seed
Full Time
position Listed on 2026-05-17
Job specializations:
-
Software Development
AI Engineer
Job Description & How to Apply Below
* This role requires relocation to Riyadh, KSA*
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.
The OpportunityWe’re hiring a Head of Engineering (Software - Orchestration Platform) 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.
The Role- Lead the development of a standalone orchestration platform
- Define and execute the strategy to decouple software from hardware environments
- Build and scale a developer-focused platform and ecosystem
- Drive integrations with OEMs, cloud providers, and infrastructure partners
- Own platform adoption and commercialisation through partnerships
- Stay hands‑on where needed—maintaining technical credibility with engineering teams
- Engage with customers and partners at both technical and executive levels
- Minimum 10+ years in software engineering with at least 4 years leading teams of 5 or more engineers.
- Deep expertise in at least two of: AI infrastructure, MLOps, distributed systems, GPU-accelerated workloads, HPC, or runtime systems programming
- Strong background in GPU scheduling, KV-cache management, or LLM serving optimisation
- Hands‑on experience deploying and optimising AI infrastructure at production scale, ideally with multiple inference engines, utilities, and training frameworks.
- Proven ability to ship production software through a full release cycle, not just a prototype
- Solid grounding in Linux internals, containers, GPU drivers, CUDA, and observability tooling
- Direct experience with sovereign AI, on‑premise LLM deployment, air‑gapped systems, or AI in regulated industries (defence, energy, government, finance, healthcare)
- Open-source contributions in the AI infrastructure space
- Prior experience as a founding engineer or senior engineer at a deep-tech startup that reached commercial GA
- Experience with security primitives: hardware fingerprinting, license enforcement, software protection, code obfuscation
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