تقدم شركة think في الرياض فرصة مميزة لوظيفة Hardware System Architect Lead, GPU Platform، حيث يركز الدور على تصميم وتطوير منصات الخوادم متعددة المسرعات التي تعتمد على GPU. هذه الوظيفة تجمع بين الهندسة المتقدمة والابتكار في مجال الحوسبة عالية الكفاءة.
تفاصيل الوظيفة
- الشركة: think
- المدينة: الرياض (Riyadh)
- الدولة: السعودية (Saudi Arabia)
- نوع الدوام: دوام كامل (Full Time)
- المستوى: متوسط إلى أول (Mid-Senior level)
- المجال: الهندسة (Engineering)
الوصف الكامل لهذه الوظيفة ومتطلباتها وإجراءات التقديم عليها باللغة الإنجليزية، وهي معروضة أدناه كما وردت من صاحب العمل دون أي تعديل أو ترجمة.
Job Summary
This role leads the architecture of Think AI’s multi-accelerator server platforms, including the design, validation, and production of high-density GPU systems with mixed silicon fabrics. The position involves overseeing platform development from initial design through manufacturing and quality assurance in Riyadh.
Responsibilities
- Manage end-to-end system architecture including CPU platform choice, PCIe Gen5/Gen6 topology, switch selection, lane budgeting, and GPU-to-NIC affinity across the chassis.
- Design for GPUDirect RDMA and peer-to-peer communication among heterogeneous accelerators, validating ACS, ATS, IOMMU, and P2P for each silicon vendor.
- Develop signal integrity strategies involving retimers, MCIO, cabled PCIe, risers, backplanes, and channel loss budgets, collaborating with layout and SI engineers.
- Lead power and thermal architecture for dense, high-TDP accelerator setups, coordinating with mechanical and thermal engineers on power delivery, airflow, and liquid cooling readiness.
- Define BIOS/UEFI and BMC requirements and collaborate with the ILM software team on hardware-software integration for bring-up, telemetry, firmware, and fabric.
- Write platform specifications and reference designs for JDM partners and oversee design reviews of schematics, layouts, and BOMs before release.
- Select and manage ODM and JDM partners for motherboards, chassis, and PCIe switches, driving platforms through EVT, DVT, and PVT to production at the Riyadh facility.
- Lead transition from JDM to in-house board design, owning schematics, layout, and SI/PI while maintaining PCB fabrication and assembly with partners, and plan future platform roadmaps.
Must haves
- 12+ years in hardware or system architecture focused on GPU-accelerated or accelerator-dense servers at an accelerator vendor, server OEM, ODM, or hyperscaler hardware team.
- Experience shipping at least one dense multi-GPU server platform from architecture through PVT into production.
- Deep expertise in PCIe including switch topologies, Gen5 and Gen6 signal integrity, retimers, enumeration, and BAR/resource allocation at scale.
- Strong knowledge of RDMA NICs, GPUDirect, NUMA, IOMMU, GPU-to-NIC communication, and power/thermal constraints in dense form factors.
- Ability to read schematics, lead layout reviews, and debug in lab environments using scopes and PCIe protocol analyzers.
- Hands-on experience with platform bring-up, validation, failure analysis from first power-on through production ramp, including factory debug at ODM or manufacturing sites.
- Experience writing validation plans, qualification matrices, and driving root cause analysis and corrective actions, with Python and Bash for test automation.
- Fluent English.
Nice to haves
- Hands-on schematic design experience for server motherboards, risers, or PCIe switch and retimer boards.
- Experience supporting multiple accelerator vendors on the same platform.
- Familiarity with open interconnect standards such as UALink, Ultra Ethernet (UEC), NVLink-class, and CXL.
- Experience with HGX, OAM, or UBB baseboards, OCP or ORv3 rack integration, liquid-cooled server design, DDR5 qualification, margin analysis, rack-level integration, reliability testing, or startup scaling.
What the company offers
- Competitive early-stage compensation.
- Meaningful ownership and impact at an early stage.
- Opportunity to work at one of the first deep tech companies in the region building foundational technology in-house.
- Close collaboration with a small, senior team.
- Challenging problems combining hardware, systems, and AI at scale.
We refresh listings regularly, but some roles close early on the source platform.

