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

Qualcomm Technologies, Inc; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading tech innovator is seeking an AI Solutions Engineer to develop and optimize cutting-edge AI datacentre technology. Responsibilities include designing AI solutions and collaborating with teams to ensure performance standards are met. Ideal candidates will have a Master's or PhD in a relevant field and proficiency in Python and AI systems. The role offers a competitive salary with benefits including relocation support and generous leave policies.

Benefits

Salary including housing & transport allowance

Stock (RSUs) and performance-related bonus

16 weeks fully paid Maternity Leave

6 weeks fully paid Paternity Leave

Child Education Allowance

Life and Medical Insurance

Relocation and immigration support

Qualifications

• Minimum 2 years in Systems Engineering or related, or equivalent experience.
• Experience with fine-tuning GenAI models is a plus.

Responsibilities

• Develop AI/ML solutions leveraging Qualcomm AI hardware and software.
• Collaborate across teams to ensure system-level requirements are met.
• Research, design, and validate AI solutions.

Skills

Proficiency in Python

Experience with AI systems

Problem solving experience

Good understanding of GenAI architectures

Education

Master's or PhD Degree in Engineering, Information Systems, Computer Science or related field

Tools

Docker

Kubernetes

MLOps tools

Job description

Company: Qualcomm Middle East Information Technology Company LLC

Job Area: Engineering Group, Engineering Group > Systems Engineering

General Summary

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 centre, and hybrid AI applications.

Principal Duties and Responsibilities

• 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.
• Develop 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

• 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.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
• 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 disability‑[e-mail] 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 concerning protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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