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datacentre technician datacentre ai engineering riyadh ksa

Qualcomm

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; Hardware 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&rsquo;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
Qualcomm is leveraging its expertise in hardware-accelerated AI to bring powerful, energy-efficient generative AI and computer vision workloads to data centres. The Qualcomm Cloud AI team is developing several key technologies including comprehensive hardware and software stack for deep learning inference acceleration, designed for rack-scale data centre deployments.
We are seeking highly skilled and experienced Data Centre Technicians to oversee the daily operations, maintenance and performance of Qualcomm's Cloud AI data centre deployments.
This role involves the following activities:<ul><li>
Ensure optimal performance, uptime and availability of Cloud AI data centre deployments</li><li>
Manage Qualcomm Cloud AI Accelerator hardware for AI/ML workloads</li><li>
Commission and decommission equipment</li><li>
Oversee physical infrastructure: servers, storage, networking, power, cooling</li><li>
Monitor and manage incident response, troubleshooting, root cause analysis, preventative measures</li><li>
Oversee software updates and maintenance</li></ul> 
You will be able to demonstrate the following:<ul><li>
Understanding of AI/ML workloads</li><li>
Strong problem-solving and diagnostic abilities</li><li>
Ability to work in high-pressure environments and respond to incidents quickly</li><li>
Strong attention to detail with a focus on quality and reliability</li><li>
Good communication skills for coordinating with teams</li><li>
Willingness to work shifts, on-call rotations and sometimes in physically demanding conditions</li><li>
Hands-on experience installing, troubleshooting and maintaining servers, storage devices, networking equipment and AI accelerators.</li><li>
Familiarity with Linux, bare-metal and virtualization platforms</li><li>
Familiarity with data centre infrastructure</li><li>
Use of Data Centre Infrastructure Management software and environmental monitoring systems</li><li>
Commitment to ongoing learning and professional development</li></ul> 
We'd love to see:<ul><li>
Experience with ticketing systems and change management processes</li><li>
Knowledge of programming/scripting languages like Python or Bash</li><li>
Familiarity with cloud platforms</li></ul>
Minimum Qualifications<ul><li>
High School diploma or equivalent</li><li>
Basic knowledge of computer hardware and components.</li></ul>
Physical Requirements:<ul><li>
Frequently transports and installs equipment weighing at least 25 lbs.</li></ul>
Preferred Qualifications<ul><li>
Associate's degree in Computer Science, Mathematics, Electrical Engineering, or related field.</li><li>
Familiarity with compliance standards (e.g., ISO 27001, SOC 2, HIPAA) relevant to data center operations</li><li>
Industry-recognized certifications such as CompTIA Linux+, CDCP, CCNA</li></ul>
What's on Offer
Apart from working with great people, we offer the below:<ul><li>
Salary including housing &amp; transport allowance</li><li>
Performance related bonus</li><li>
16 weeks fully paid Maternity Leave</li><li>
6 weeks fully paid Paternity Leave</li><li>
Employee stock purchase scheme</li><li>
Child Education Allowance</li><li>
Relocation and immigration support (if needed)</li><li>
Life and Medical Insurance</li><li>
Live+ Well Reimbursement for health and recreational membership fees</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.</li></ul><ul><li>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.</li></ul><div>
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).</div>
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.</div>

Datacentre Technician (Datacentre AI Engineering) - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; 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&rsquo;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 &ndash; 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&rsquo;s infrastructure is robust, reliable, and scalable for advanced machine learning workloads.
Key Responsibilities will include
AI Infrastructure<ul><li>
Design and maintain large-scale AI Inference systems supporting critical AI use cases.</li><li>
Ensure reliability, operability, and scalability of the Qualcomm data-centre cluster</li><li>
Build software tools and ecosystems around AI software stacks.</li></ul>
AI &amp; ML Engineering<ul><li>
Analyse software requirements and consult with architecture and hardware engineers.</li><li>
Hands-on experience in building Agentic AI solutions, LLM orchestration and agentic AI libraries.</li><li>
Collaborate with model, systems &amp; software teams to improve model performance on AI100 deployments</li><li>
Identify features that optimize workloads for multi-SoC and multi-card systems</li></ul>
Site Reliability Engineering (SRE)<ul><li>
Implement SRE fundamentals: incident management, monitoring, performance optimization</li><li>
Hands-on experience with MLOps tools and practices, ensuring seamless integration of ML models into production</li><li>
Establish operational maturity frameworks and sustainable incident response protocols.</li></ul>
Observability &amp; Tooling<ul><li>
Build tools and frameworks to improve observability and define reliability metrics.</li><li>
Monitor system health using Prometheus, Grafana, Cloudwatch, and custom telemetry.</li><li>
Create and maintain documentation and knowledge base articles.</li></ul>
Automation &amp; CI/CD<ul><li>
Design automation tools to reduce manual processes and operational overhead.</li><li>
Ensure CI/CD reliability for agent deployment cycles.</li><li>
Apply Infrastructure as Code practices using tools like Terraform CDK.</li></ul>
Required Skillset includes:
AI &amp; Deep Learning<ul><li>
Experience with LLMs, NLP, Vision, Audio, and Recommendation systems.</li><li>
Proficiency with LLM inference concepts: token streaming, batching, KV cache.</li><li>
Proficiency in PyTorch, TensorFlow, JAX, and Ray.</li><li>
Familiar with GPU / TPU compute, ML frameworks, checkpointing and distributed inferencing</li></ul>
AI Agent Operations<ul><li>
Experience supporting GenAI or agentic AI applications in production.</li><li>
Familiarity with LLM orchestration, prompt reliability, and RAG systems.</li><li>
Exposure to LangChain, AutoGen, and similar agent orchestration frameworks.</li></ul>
Programming &amp; Software Design<ul><li>
Strong programming skills in Python with experience in PyTorch</li><li>
Scripting (Python, Bash), configuration management (Ansible/Terraform), orchestration</li></ul>
Systems &amp; Infrastructure<ul><li>
Strong Linux fundamentals: shell, systemd, containers, networking (TLS, DNS, HTTP/2, gRPC).</li><li>
Expertise in Slurm (configuration, scheduling, plugins/extensions) or equivalent</li><li>
Good knowledge of networking (RDMA, InfiniBand, RoCE, high-throughput, low-latency networks)</li><li>
Experience operating and scaling distributed systems with high availability.</li></ul>
Observability &amp; Monitoring<ul><li>
Hands-on experience with Prometheus, Grafana, ELK, Loki, Datadog, SIP, Homer.</li><li>
Exposure to hardware health monitoring and system reliability.</li></ul>
DevOps &amp; SRE Practices<ul><li>
Deep understanding of SDLC, release management, and system reliability.</li><li>
Familiarity with CI/CD pipelines (Jenkins, GitLab) and Infrastructure as Code (Terraform CDK).</li></ul>
Qualifications &amp; Experience:<ul><li>
Bachelor's / Masters degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.</li><li>
4-5 years&rsquo; of Software Engineering or related work experience.</li></ul>
What's on Offer
Apart from working with great people, we offer the below:<ul><li>
Salary including housing &amp; transport allowance</li><li>
Stock (RSU's) and performance related bonus</li><li>
16 weeks fully paid Maternity Leave</li><li>
6 weeks fully paid Paternity Leave</li><li>
Employee stock purchase scheme</li><li>
Child Education Allowance</li><li>
Relocation and immigration support (if needed)</li><li>
Life and Medical Insurance</li><li>
Live+ Well Reimbursement for health and recreational membership fees</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
</li></ul>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. 
 
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.</li></ul><ul><li>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.</li></ul><div>
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).</div>
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.</div>

Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; 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:<ul><li>
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</li><li>
Assist in the design, development, implementation and deployment of Gen AI and LLM applications</li><li>
Contribute towards implementing fine tuning and distillation techniques</li><li>
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</li><li>
Perform AI model benchmarking and functional analysis to drive requirements and specifications</li><li>
Support customer engagement with AI model/workload optimization and deployment</li><li>
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</li><li>
Collaborate with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of AI systems</li><li>
Keep abreast with the latest advancements in the AI/ML space (models, HW/SW) and drive innovative solutions.</li><li>
Develops new and innovative ideas for a product or feature area</li><li>
Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.</li></ul>
Preferred Qualifications &amp; Skills:<ul><li>
Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field</li><li>
Proficiency in Python and ML frameworks, APIs, REST, microservices</li><li>
Working experience with AI systems</li><li>
Good understanding of GenAI architectures from transformers, diffusion, hybrid - LLMs, LVMs, embeddings</li><li>
Experience with architectural Patterns for Large-Scale AI Systems: Knowledge of microservices, distributed systems, event-driven architectures, fault-tolerant design principles</li><li>
Experience with MLOps for AI application development and deployments</li><li>
Experience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plus</li><li>
Problem solving experience and customer focused</li><li>
Experience with cluster schedulers (Slurm, PBS), orchestrators, workload managers for resource allocation is a plus</li><li>
Experience with observability tools for ML pipelines</li><li>
Experience working in a large matrixed organization</li><li>
Experience with fine-tuning GenAI models and Reinforcement Learning is a plus</li><li>
Well versed with open-source development practices</li><li>
Experience with rack-level orchestration tools and data center automation is a plus</li></ul>
What's on Offer
Apart from working with great people, we offer the below:<ul><li>
Salary including housing &amp; transport allowance</li><li>
Stock (RSU's) and performance related bonus</li><li>
16 weeks fully paid Maternity Leave</li><li>
6 weeks fully paid Paternity Leave</li><li>
Employee stock purchase scheme</li><li>
Child Education Allowance</li><li>
Relocation and immigration support (if needed)</li><li>
Life and Medical Insurance</li><li>
Live+ Well Reimbursement for health and recreational membership fees</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
</li></ul>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.<ul><li>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.</li></ul><div>
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).</div>
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.</div>

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

Almajdouie

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Agriculture Technician Jobs in Riyadh

<div><h2 class="jobSectionHeader">Company:</h2>
Qualcomm Middle East Information Technology Company LLC<h2 class="jobSectionHeader">
Job Area:</h2>
Engineering Group, Engineering Group &gt; 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&rsquo;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
The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions for Datacentre AI. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction. Good communication, planning, and execution skills are a must.
Key Responsibilities will include:<ul><li>
Analyse software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.</li><li>
Analyse and identify system level issues, interface with the software development, integration, and test teams</li><li>
Lead high-performance teams towards system design and deliverables.</li><li>
Proven track record of leading teams in Machine learning software engineering.</li><li>
Strong foundation of Mathematical modelling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space.</li><li>
Improve and optimize key Deep Learning models on Qualcomm AI 100.</li><li>
Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.</li><li>
Collaborate and interact with internal teams to analyse and optimize training and inference for deep learning.</li><li>
Build software tools and ecosystem around AI SW Stack.</li><li>
Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.</li><li>
Optimise workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.</li><li>
Optimise the entire deep learning pipeline including graph compiler integration.</li><li>
Apply knowledge of software engineering best practices.</li></ul>
Desirable Skills and Aptitudes<ul><li>
Deep Learning experience and knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Diffusion, Recommendation systems.</li><li>
Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.</li><li>
Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.</li><li>
Ability to work independently, define requirements and scope, and lead your own development effort.</li><li>
Well versed with open-source development practices.</li><li>
Strong developer with a research mindset &ndash; strives to innovate.</li><li>
Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.</li><li>
Knowledge of tiling and scheduling a Machine learning operator is a plus.</li><li>
Experience in using C++ 14 (advanced features)</li><li>
Experience of profiling software and optimization techniques</li><li>
Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus.</li><li>
Experience of ML compiler, Auto-code generation (using MLIR) is a plus.</li><li>
Experience in deploying workloads on large scale heterogeneous clusters is a plus.</li><li>
Hands-on experience with CUDA, CUDNN is a plus.</li></ul>
Qualifications:<ul><li>
Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.</li><li>
2-10 years&rsquo; of Software Engineering or related work experience.</li><li>
2-10 years&rsquo; experience with Programming Language such as C++, Python.</li></ul>
What's on Offer
Apart from working with great people, we offer the below:<ul><li>
Salary including housing &amp; transport allowance</li><li>
Stock (RSU's) and performance related bonus</li><li>
16 weeks fully paid Maternity Leave</li><li>
6 weeks fully paid Paternity Leave</li><li>
Employee stock purchase scheme</li><li>
Child Education Allowance</li><li>
Relocation and immigration support (if needed)</li><li>
Life and Medical Insurance</li><li>
Live+ Well Reimbursement for health and recreational membership fees</li></ul>
Minimum Qualifications:<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 
OR 
PhD in Engineering, Information Systems, Computer Science, or related field. 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.</li></ul><ul><li>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.</li></ul><div>
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).</div>
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.</div>

Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; 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&rsquo;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
 
 
 
 The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions for Datacentre AI. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction. Good communication, planning, and execution skills are a must.
 
 
 
 Key Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Analyse software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
 </li>
 <li>
 Analyse and identify system level issues, interface with the software development, integration, and test teams
 </li>
 <li>
 Lead high-performance teams towards system design and deliverables.
 </li>
 <li>
 Proven track record of leading teams in Machine learning software engineering.
 </li>
 <li>
 Strong foundation of Mathematical modelling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space.
 </li>
 <li>
 Improve and optimize key Deep Learning models on Qualcomm AI 100.
 </li>
 <li>
 Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.
 </li>
 <li>
 Collaborate and interact with internal teams to analyse and optimize training and inference for deep learning.
 </li>
 <li>
 Build software tools and ecosystem around AI SW Stack.
 </li>
 <li>
 Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
 </li>
 <li>
 Optimise workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.
 </li>
 <li>
 Optimise the entire deep learning pipeline including graph compiler integration.
 </li>
 <li>
 Apply knowledge of software engineering best practices.
 
 
 
 </li>
 </ul>
 
 Desirable Skills And Aptitudes
 
 
 
 <ul>
 <li>
 Deep Learning experience and knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Diffusion, Recommendation systems.
 </li>
 <li>
 Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.
 </li>
 <li>
 Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
 </li>
 <li>
 Ability to work independently, define requirements and scope, and lead your own development effort.
 </li>
 <li>
 Well versed with open-source development practices.
 </li>
 <li>
 Strong developer with a research mindset &ndash; strives to innovate.
 </li>
 <li>
 Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
 </li>
 <li>
 Knowledge of tiling and scheduling a Machine learning operator is a plus.
 </li>
 <li>
 Experience in using C++ 14 (advanced features)
 </li>
 <li>
 Experience of profiling software and optimization techniques
 </li>
 <li>
 Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus.
 </li>
 <li>
 Experience of ML compiler, Auto-code generation (using MLIR) is a plus.
 </li>
 <li>
 Experience in deploying workloads on large scale heterogeneous clusters is a plus.
 </li>
 <li>
 Hands-on experience with CUDA, CUDNN is a plus.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
 </li>
 <li>
 2-10 years&rsquo; of Software Engineering or related work experience.
 </li>
 <li>
 2-10 years&rsquo; experience with Programming Language such as C++, Python.
 
 
 
 </li>
 </ul>
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 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.
 
 
 
 </li>
 </ul>
 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.
</div>

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Data Scientist

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Data Scientist