Company:Qualcomm Middle East Information Technology Company LLC

Job Area:Engineering Group, Engineering Group > Software Engineering

General Summary:

Qualcomm Overview:

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact 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.

Job Overview:

Qualcomm is leveraging its expertise in hardware-accelerated AI to bring powerful, energy-efficient generative AI and computer vision workloads to the Edge. The Qualcomm Compute AISW team is developing several key technologies including a comprehensive hardware and software stack for deep learning inference acceleration. We are seeking highly skilled and experienced AIML Engineer to enable latest SOTA models on Qualcomm Edge platforms 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.

The Staff AI Software Engineer 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 Qualcomm’s platform across the B2B market. He/She will partner with OEM and Channel sales teams on strategic and regionally appropriate engagements. In addition, he/she will be the voice of the customer back to Qualcomm product, engineering and marketing teams on feature enhancements.

What You’ll Do:

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-conceptsAssisting 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 identifyAct 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.Analyze 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.

Required Qualifications

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field or 5+ years of Computer Science or related work experience.Very strong in C/C++/Python programming and algorithm development.Experience with at least one AIML framework like TensorFlow, ONNX, Pytorch, etc.Windows development experience. Experience with embedded systems development or equivalent.Understanding of software development and debugging in embedded environments.Understanding of AI/ML workloadsStrong problem-solving and diagnostic abilitiesAbility to work in high-pressure environments and respond to incidents quicklyStrong attention to detail with a focus on quality and reliabilityWillingness to work shifts, on-call rotations and sometimes in physically demanding conditionsFamiliarity with Windows, Linux, bare-metal and virtualization platformsCommitment to ongoing learning and professional development

Software design/debugging techniques, problem solving, and documentation skills.Strong understanding of Qualcomm Snapdragon platforms and compute architectures including CPU, GPU, NPU and supporting software stacks (drivers, libraries, frameworks).Proven ability to work directly with OEMs/ODMs and ISVs to deliver complex, multi-component systems.Excellent skills in system debugging, performance profiling tools, benchmarking methodologies and cross-functional coordination.Strong communication skills with a customer-first mindset; able to translate complex technical details into business-oriented discussions and customer-facing insights.Willingness to travel for customer meetings and industry events.

Preferred Qualifications

Technical sales management expertise, the ability to manage change and the desire to operate effectively across organizations and customersExperience building complex solutions and driving new device adoption with resellers & distributors.Experience in support of launching new technologies/productsAbility to communicate, educate and evangelize both internally & externallyPrior experience in a customer engineering, field application, or technical program management role.Understanding of cloud-to-edge AI enablement, on-device inference, or performance tuning on Snapdragon platforms.Experience with system integration tools, BSP customization, and cross-platform testing.Understanding about Processor architecture, system design fundamentals Ability to collaborate across a globally diverse team and multiple interestsBatchelors or Masters degree with AI/ML as part of the course is a plus

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Why Join Qualcomm

At Qualcomm, you’ll be part of a global team that’s defining the future of connected computing. You will engage directly with world-leading OEMs and ecosystem partners to shape the next generation of AI-ready laptops and mobile devices — enabling users to experience the full power of Snapdragon technology. 

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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If you would like more information about this role, please contact Qualcomm Careers.