Computer Engineer jobs in Saudi Arabia

Qualcomm Middle East Information Technology Company LLC

Engineering Group, Engineering Group > Software Engineering

About Us

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.

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm IoT Software Staff Engineer, you will join Qualcomm IE-IOT Task Force team and work with a team of highly motivated and experienced engineers and industrial players in MEA region for enabling products based on Qualcomm’s exciting new IoT focused SoCs with cutting edge AI, Machine learning, computer vision, security and wireless including cellular communication technologies.

You will help design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting‑edge, world‑class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system‑level software solutions and obtain information on performance requirements and interfaces.

You will have expertise in embedded systems and will focus on supporting customers with Qualcomm's cutting‑edge AI, machine learning, computer vision, security, and wireless technologies. You'll be responsible for understanding customer requirements, communicating with internal teams, and helping external stakeholders implement their applications on Qualcomm platforms. Key technical areas include experience with embedded systems and familiarity with various operating systems including Android, Linux, Ubuntu, and Windows.

This position offers the opportunity to work with leading technology experts in the industry while helping shape the future of IoT and embedded systems. The role combines technical expertise with customer‑facing responsibilities, requiring strong communication skills and the ability to work with diverse teams and making it ideal for engineers who excel in both technical implementation and stakeholder management.

• 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.
• 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.
• Provide necessary technical deep dive and practical training to customers as needed.
• Support the introduction of solutions for customers, including Industrial IoT, Cloud AI, and Windows, from a technical perspective.
• Accelerate IOT business with Distributors, drive and achieve KPIs on YoY revenue growth, pipeline registration, and design win rate, ensuring satisfaction and fostering long‑term relationships.
• Act as a technical interface between Qualcomm and customers to capture, articulate, and translate product requirements for various solutions into actionable engineering specifications.
• Collaborate with OEMs/ODMs, ISVs, and ecosystem partners to ensure successful integration of Qualcomm's IoT‑focused 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.
• Lead the progress of building and deploying AI use cases for edge devices, and develop software components that enable AI‑based applications, analyze system behaviour, and ensure robust integration in real‑world environments.
• Work with pre‑defined AI models and build AI related use‑cases around the models. Develop logic and components to enable use cases related to computer vision, LLM, sensors etc.
• Collaborate with internal teams for cross‑component integration and customers’ issues/features/designs.
• Help external stakeholders including direct customers, design houses, ecosystem partners to easily port their applications on Qualcomm SoC‑based systems and utilize various compute capabilities and software feature sets on the Qualcomm SoC.
• Develop and maintain embedded software in Go and C for edge devices.
• Perform low‑level debugging, optimization, and code refinement for performance‑critical tasks.
• Implement tools and utilities to support validation, functional and performance tests of existing software.
• Architect and maintain system‑level integrations between edge devices, backend services, and external systems in cloud or on‑prem environments.
• Manage large‑scale system deployments, configurations, and runtime operations.
• Collaborate with cross‑functional teams to identify system bottlenecks, conduct performance tuning, and improve end‑to‑end reliability.
• Design and implement observability solutions, including logging, metrics, tracing, and real‑time alerting, to ensure system visibility and uptime.
• Troubleshoot complex issues involving device firmware, networking, storage, and backend services.
• Drive system validation, stress testing, fault tolerance testing, and infrastructure optimization.
• 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.
• Recommend AI enhancements to improve existing products.

• Bachelor’s or master’s degree in electrical engineering, Computer Engineering, or related field.
• 5+ years of experience in development and testing of applications / use‑cases leveraging machine learning models including computer vision, large language models and others.
• Strong analytical skills and proficiency in Programming Language such as C, C++, Java, Python, etc.
• Experience in building LLM/RAG systems (Langchain, LangGraph, LangSmith – preferred, Agents, etc.)
• Solid understanding of RAG systems and approaches, NLP, data science process, statistical modeling, machine learning, deep learning
• Experience in using Docker and Kubernetes to create reproducible and scalable environments.
• Hands‑on experience with cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Strong problem‑solving skills and the ability to analyze and resolve cross‑layer system issues.
• Experience in software development for Linux based systems.
• Quick ramp‑up skills for working on new technologies and systems.
• Familiarity with source code repositories (git/perforce/scm etc.) usage, defect tracking tools, and software engineering processes.
• 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.

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.

Apart from working with great people, we offer the below:

• Salary including housing & transport allowance
• Stock (RSU's) and performance related bonus
• 16 weeks fully paid Maternity Leave
• 6 weeks fully paid Paternity Leave
• Employee stock purchase scheme
• Child Education Allowance
• Relocation and immigration support (if needed)
• Life and Medical Insurance
• Live+ Well Reimbursement for health and recreational membership fees

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

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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