Field Application Engineer; Compute & PC Ecosystem KSA
Listed on 2025-12-02
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IT/Tech
Systems Engineer, IT Support, Technical Support, Hardware Engineer
About Us
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge.
You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
Windows PCs powered by Snapdragon X Elite are revolutionizing the PC industry by leading the technology transformation for AI, graphics, multimedia, connectivity, power, and performance. We’re looking for a passionate and skilled Senior Staff Engineer with a strong background in Compute technologies to join our team in Saudi Arabia. In this role, you’ll serve as a trusted technical advisor and customer advocate, helping partners and clients unlock the full potential of advanced computing platforms, including CPUs, GPUs, NPUs, AI accelerators, and heterogeneous systems.
Responsibilities- You will have a pre-and post-sales focus and will work with channel partners and their respective technical sales/delivery teams to drive adoption of the Windows on Snapdragon Compute platform across the B2B market.
- You will partner with OEM and Channel sales teams as well as Microsoft Modern Work Specialists, on strategic and regionally appropriate engagements.
- You will help connect IT to ISVs and developers to overcome line-of-business obstacles.
- You will be the voice of the customer back to Qualcomm product, engineering and marketing teams on feature enhancements.
- Assisting with the Execution of Qualcomm’s Go-To-Market strategy across MEA region.
- Supporting the Sales team through deep technical engagement with reseller & customer implementers and assisting with device evaluations, pilots and proof-of-concepts
- Assisting with the technical sales enablement commercial channel sales teams.
- Assisting with Windows on Snapdragon related issues and bugs that you and/or your enterprise customers identify
- Act as a technical interface between Qualcomm and customers to capture, articulate, and translate product requirements for various mobile and compute SKUs into actionable engineering specifications.
- Collaborate with OEMs/ODMs, ISVs, and ecosystem partners to ensure successful integration of Snapdragon compute platforms across hardware, firmware, and software layers.
- Drive end-to-end product development, from early architecture definition and bring-up to final system validation and commercial launch.
- Analyse system performance and power efficiency; identify optimization opportunities to achieve the full potential of Snapdragon-powered laptops including compatibility, app performance, connectivity, and feature enablement.
- Support customers in resolving complex hardware/software integration issues and provide technical guidance on reference designs, SDKs, and BSPs.
- Guide customers through the evaluation and integration of platforms such as SoCs, AI/ML accelerators, and server-grade CPUs/GPUs/NPUs.
- Represent Qualcomm in technical discussions and reviews with partners, demonstrating deep technical understanding and effective communication.
- Lead product demos, technical workshops, and training sessions to showcase compute technologies and best practices.
- Coordinate with Qualcomm global teams (engineering, product management, and customer engineering) to align roadmap priorities and technical support plans.
- Collect and share customer feedback to help shape product roadmaps and drive continuous improvement.
- Create and maintain technical documentation, application notes, and reference designs.
- Stay up to date with the latest trends in high-performance computing, AI/ML, and edge/cloud architectures.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field or 5+ years of Computer Science or related work experience.
- Experience with working and debugging issues in…
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