Job Description

Company:

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Qualcomm Middle East Information Technology Company LLC

Job Area:

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Engineering Group, Engineering Group > Software Engineering

General Summary:

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.

About the Role

We are recruiting for a Site Reliability Engineer - Datacentre AI Engineering at Qualcomm Technologies, Inc., located in Riyadh, Saudi Arabia. This role centres on designing, maintaining, and scaling large-scale AI inference systems in a datacentre environment. You will support critical AI use cases, ensuring that Qualcomm's infrastructure is robust, reliable, and scalable for advanced machine learning workloads.

Key Responsibilities will include

AI Infrastructure

Design and maintain large-scale AI Inference systems supporting critical AI use cases. Ensure reliability, operability, and scalability of the Qualcomm data-centre cluster Build software tools and ecosystems around AI software stacks.

AI & ML Engineering

Analyse software requirements and consult with architecture and hardware engineers. Hands-on experience in building Agentic AI solutions, LLM orchestration and agentic AI libraries. Collaborate with model, systems & software teams to improve model performance on AI100 deployments Identify features that optimize workloads for multi-SoC and multi-card systems

Site Reliability Engineering (SRE)

Implement SRE fundamentals: incident management, monitoring, performance optimization Hands-on experience with MLOps tools and practices, ensuring seamless integration of ML models into production Establish operational maturity frameworks and sustainable incident response protocols.

Observability & Tooling

Build tools and frameworks to improve observability and define reliability metrics. Monitor system health using Prometheus, Grafana, Cloudwatch, and custom telemetry. Create and maintain documentation and knowledge base articles.

Automation & CI/CD

Design automation tools to reduce manual processes and operational overhead. Ensure CI/CD reliability for agent deployment cycles. Apply Infrastructure as Code practices using tools like Terraform CDK.

Required Skillset includes:

AI & Deep Learning

Experience with LLMs, NLP, Vision, Audio, and Recommendation systems. Proficiency with LLM inference concepts: token streaming, batching, KV cache. Proficiency in PyTorch, TensorFlow, JAX, and Ray. Familiar with GPU / TPU compute, ML frameworks, checkpointing and distributed inferencing

AI Agent Operations

Experience supporting GenAI or agentic AI applications in production. Familiarity with LLM orchestration, prompt reliability, and RAG systems. Exposure to LangChain, AutoGen, and similar agent orchestration frameworks.

Programming & Software Design

Strong programming skills in Python with experience in PyTorch Scripting (Python, Bash), configuration management (Ansible/Terraform), orchestration

Systems & Infrastructure

Strong Linux fundamentals: shell, systemd, containers, networking (TLS, DNS, HTTP/2, gRPC). Expertise in Slurm (configuration, scheduling, plugins/extensions) or equivalent Good knowledge of networking (RDMA, InfiniBand, RoCE, high-throughput, low-latency networks) Experience operating and scaling distributed systems with high availability.

Observability & Monitoring

Hands-on experience with Prometheus, Grafana, ELK, Loki, Datadog, SIP, Homer. Exposure to hardware health monitoring and system reliability.

DevOps & SRE Practices

Deep understanding of SDLC, release management, and system reliability. Familiarity with CI/CD pipelines (Jenkins, GitLab) and Infrastructure as Code (Terraform CDK).

Qualifications & Experience:

Bachelor's / Masters degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field. 4-5 years' of Software Engineering or related work experience.

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 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.