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Head of Software Engineering [Riyadh]

Talent Seed, LLC

*This role requires relocation to Riyadh, KSA*

We’re partnering with a fast‑scaling deep tech startup building next‑generation AI infrastructure, combining cutting‑edge hardware and software to deliver high‑performance, on‑premise AI compute solutions.

Backed by leading enterprise customers and operating in one of the most important technology categories of the next decade, this company is now looking for a Head of Engineering to build and lead its engineering function from the ground up.

The Opportunity

This is a rare chance to step into a foundational leadership role at an early stage and shape the entire engineering organisation.

You’ll be taking ownership of both hardware and software engineering, while remaining hands‑on technically. This isn't a pure management role; you’ll be expected to contribute directly to architecture, code, and system design. Over time, you’ll scale the team, introduce structure, and build a high‑performing engineering culture across multiple disciplines.

The Role
  • Own engineering across hardware + software
  • Scale and structure the team from the ground up
  • Drive development across infrastructure, low‑level systems, and performance optimisation
What They’re Looking For
  • Proven experience leading multiple teams or managers in complex engineering environments
  • Strong hands‑on technical background.
  • Full‑stack systems exposure, from high‑level applications to low‑level systems
  • Experience working in Linux‑based environments and infrastructure platforms
  • Proficiency in at least one: Python, C++, C, or Node.js
  • Background in compute platforms, distributed systems, or GPU‑related infrastructure
  • Experience in hardware‑adjacent environments (e.g. embedded systems, consoles, SDKs, cloud infrastructure)
  • Genuine passion for systems, performance, and hardware
Nice to Have
  • Experience with GPU acceleration, CUDA, or low‑level performance optimisation
  • Exposure to ML systems, inference engines, or model training workflows
  • Knowledge of hardware design, cooling systems, or physical system constraints
  • Experience with manufacturing, supply chain, or system assembly
  • Strong product mindset with an eye for performance and design
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Vacancy posted 3 days ago
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