AI Solutions Engineer (Datacenter AI Engineering) - Riyadh, KSA

Company:

Qualcomm Middle East Information Technology Company LLC

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

About Us

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.

About the Role

As a Qualcomm Datacentre AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacentre technology.

Qualcomm Solution Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications.

Shape

Principal Duties and Responsibilities will include:

• Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class AI inference performance, power efficiency and scalability
• Assist in the design, development, implementation and deployment of Gen AI and LLM applications
• Contribute towards implementing fine tuning and distillation techniques
• Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while ensuring system-level requirements and standards are met
• Perform AI model benchmarking and functional analysis to drive requirements and specifications
• Support customer engagement with AI model/workload optimization and deployment
• Build AI solutions and develop and analyze system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system
• Collaborate with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of AI systems
• Keep abreast with the latest advancements in the AI/ML space (models, HW/SW) and drive innovative solutions.
• Develops new and innovative ideas for a product or feature area
• Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.

Preferred Qualifications & Skills:

• Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field
• Proficiency in Python and ML frameworks, APIs, REST, microservices
• Working experience with AI systems
• Good understanding of GenAI architectures from transformers, diffusion, hybrid - LLMs, LVMs, embeddings
• Experience with architectural Patterns for Large-Scale AI Systems: Knowledge of microservices, distributed systems, event-driven architectures, fault-tolerant design principles
• Experience with MLOps for AI application development and deployments
• Experience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plus
• Problem solving experience and customer focused
• Experience with cluster schedulers (Slurm, PBS), orchestrators, workload managers for resource allocation is a plus
• Experience with observability tools for ML pipelines
• Experience working in a large matrixed organization
• Experience with fine-tuning GenAI models and Reinforcement Learning is a plus
• Well versed with open-source development practices
• Experience with rack-level orchestration tools and data center automation is a plus

What's on Offer

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

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field

• 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 [email protected] 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.