data centre engineer

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Test Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><div>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region <b>. </b>As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</div><p></p><p><b>About the Role
</b></p><p>We are looking for a Site Reliability Engineer or Senior Engineer &ndash; Datacentre AI Engineering at Qualcomm Technologies, Inc., located in Riyadh, Saudi Arabia.
</p><p></p><p>The role focuses on the design, operation, and continuous improvement of large‑scale AI inference systems in a datacenter environment. The engineer will support critical AI use cases by ensuring Qualcomm&rsquo;s AI infrastructure is reliable, scalable, and production‑ready for advanced machine‑learning workloads.
</p><p>The role requires strong systems and software engineering fundamentals, hands‑on execution, and the ability to work independently on complex problem areas while collaborating closely with cross‑functional teams across hardware, software, and machine learning.
</p><p></p><p><b>Ideal candidates will have 2-8 years of experience
</b></p><p></p><p><b>Key Responsibilities will include
</b></p><p></p><p><b>Key Responsibilities
</b></p><p><b>1. AI Infrastructure
</b></p><ul><li>Design, deploy, and operate large‑scale AI inference systems supporting critical AI workloads.
</li><li>Ensure reliability, availability, and scalability of Qualcomm datacenter AI clusters.
</li><li>Develop and maintain software tools and support infrastructure around AI software stacks.
</li></ul><p></p><p><b>2. AI &amp; ML Engineering
</b></p><ul><li>Analyze software requirements and collaborate with architecture and hardware engineers to support AI workloads.
</li><li>Build, deploy, and operate components supporting LLM inference, agentic AI workflows, and AI services.
</li><li>Work with models, systems, and software teams to improve model performance on AI100 deployments.
</li><li>Identify and implement optimizations for workloads running on multi‑SoC and multi‑card systems.
</li></ul><p></p><p><b>3. Site Reliability Engineering (SRE)
</b></p><ul><li>Apply SRE fundamentals including monitoring, alerting, incident response, and performance optimization.
</li><li>Support production ML systems using MLOps tools and operational best practices.
</li><li>Contribute to incident reviews, operational documentation, and continuous reliability improvements.
</li></ul><p></p><p><b>4. Observability &amp; Tooling
</b></p><ul><li>Build and maintain observability tools, dashboards, and alerts to monitor system health and reliability.
</li><li>Monitor infrastructure and services using tools such as Prometheus, Grafana, CloudWatch, and custom telemetry.
</li><li>Create and maintain technical documentation, runbooks, and knowledge‑base articles.
</li></ul><p></p><p><b>5. Automation &amp; CI/CD
</b></p><ul><li>Develop automation to reduce manual operational tasks and improve system reliability.
</li><li>Support CI/CD pipelines for AI service and agent deployment.
</li><li>Apply Infrastructure‑as‑Code practices using tools such as Terraform and Ansible.
</li></ul><div></div><p><b>Required Skillset
</b></p><p><b>1. AI &amp; Deep Learning
</b></p><ul><li>Experience working with AI/ML workloads such as LLMs, NLP, Vision, Audio, or Recommendation systems.
</li><li>Understand ML inference concepts including batching, token streaming, and performance considerations.
</li><li>Hands‑on experience with PyTorch and familiarity with modern ML frameworks.
</li><li>Familiarity with distributed inference, checkpointing, and accelerator‑based compute environments.
</li></ul><p></p><p><b>2. AI Operations
</b></p><ul><li>Experience supporting AI or ML applications in production environments.
</li><li>Familiarity with LLM inference pipelines and AI service operations.
</li></ul><p></p><p><b>3. Programming &amp; Software Design
</b></p><ul><li>Strong programming skills in Python with experience building and supporting production systems.
</li><li>Experience with scripting and automation using Python and Bash.
</li><li>Familiarity with configuration management and orchestration tools.
</li></ul><p></p><p><b>4. Systems &amp; Infrastructure
</b></p><ul><li>Strong Linux fundamentals include shell, containers, system services, and networking basics (DNS, TLS, HTTP/gRPC).
</li><li>Experience working with cluster schedulers such as Slurm or equivalent systems.
</li><li>Experience operating distributed systems with high availability and fault tolerance.
</li></ul><p></p><p><b>5. Observability &amp; Monitoring
</b></p><ul><li>Hands‑on experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Loki.
</li><li>Understanding of incident management, service health metrics, and system reliability monitoring.
</li></ul><p></p><p><b>6. DevOps &amp; SRE Practices
</b></p><ul><li>Solid understanding of SDLC, release processes, and operational reliability practices.
</li><li>Familiarity with CI/CD pipelines and Infrastructure‑as‑Code tools.
</li></ul><div></div><p><b>Preferred Skillset
</b></p><ul><li>Experience with GenAI, Agentic AI systems, or LLM orchestration frameworks.
</li><li>Exposure to LangChain, AutoGen, or RAG‑based systems.
</li><li>Experience with additional ML frameworks such as TensorFlow, JAX, or Ray.
</li><li>Knowledge of GPU/accelerator‑based systems and high‑performance networking (RDMA, InfiniBand, RoCE).
</li><li>Experience with advanced MLOps workflows or large‑scale AI platform operations.
</li></ul><div></div><p><b>Qualifications
</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in engineering, Computer Science, AI/ML, or a related field.
</li><li>2&ndash;8 years of software, systems, or infrastructure engineering experience, preferably in production or datacenter environments.
</li></ul><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><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><p></p><p><b>Minimum Qualifications:
</b></p><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
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
<br>
<br>
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><p>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.
</p><p></p><p>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
</p><p>As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</p><p></p><p><b>About the Role
</b></p><p>We are seeking a Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This role involves designing, delivering, and supporting end-to-end AI services, agentic workflows, and fine-tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large-scale data center environments.
</p><p>You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
</p><p></p><p><b>Key Responsibilities will include:
</b></p><ul><li>API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
</li><li>Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
</li><li>Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
</li><li>LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
</li><li>SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
</li><li>Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
</li><li>Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
</li><li>Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
</li><li>Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
</li><li>Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
</li><li>Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
</li></ul><p></p><p><b>Minimum Qualifications
</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
</li><li>5+ years of software engineering experience; 3+ years in ML or HPC environments.
</li><li>Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
</li><li>Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
</li><li>Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
</li><li>Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
</li></ul><p></p><p><b>Preferred Qualifications
</b></p><ul><li>Master&rsquo;s degree in Computer Science, Machine Learning, or related field.
</li><li>Experience building inference and fine-tuning pipelines, as well as agentic workflows.
</li><li>Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
</li><li>Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
</li><li>Contributions to inference and GenAI model performance optimization.
</li></ul><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><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><p></p><p><b>Minimum Qualifications:
</b></p><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
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field.
<br>
<br>
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

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

Generac Power Systems

<div><p><b>We are Generac, a leading energy technology company committed to powering a smarter world.</b></p><p></p><p>
Over the 60 plus years of Generac&rsquo;s history, we&rsquo;ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.</p><p></p><p><b>
Overview</b></p><p></p><p>
Generac is scaling advanced, <b>mission‑critical power architectures</b> to support the rapid global expansion of <b>hyperscale and colocation data centres</b>. As <b>Principal Engineer &ndash; Data Centre BESS Applications</b>, you will act as a senior technical authority responsible for defining, validating, and deploying <b>large‑MW, inverter‑based power systems</b> where uptime, fault tolerance, and predictable performance are non‑negotiable.</p><p></p><p>
This role focuses on system‑level engineering for <b>always‑on digital infrastructure</b>, integrating <b>battery energy storage systems (BESS), power electronics, generators, MV equipment, and plant‑level controls</b> to meet the stringent availability and operational requirements of hyperscalers and colo providers. You will shape reference architectures, guide customer‑specific deployments, and influence Generac&rsquo;s technical strategy in the mission‑critical power market. This position may be based remotely within the US or Canada.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Own the <b>system‑level architecture, modelling, testing, and validation</b> of large‑MW power solutions for hyperscale and colocation data‑centre applications</p></li><li><p>
Serve as the <b>technical authority</b> for mission‑critical deployments, translating customer requirements for uptime, redundancy, and scalability into robust, deployable designs</p></li><li><p>
Lead engineering execution for <b>site‑specific data‑centre power systems</b>, including redundancy concepts (e.g., N+1 / N+2), operating modes, and transitions between grid‑connected and islanded operation</p></li><li><p>
Drive <b>integrated system testing and validation</b> of inverter‑based and generator‑based power systems under realistic data‑centre load and operating conditions</p></li><li><p>
Evaluate and apply emerging technologies to improve availability, efficiency, and controllability of <b>hyperscale and colo power infrastructures</b></p></li><li><p>
Partner cross‑functionally with engineering, operations, sourcing, quality, service, and marketing to ensure solutions are scalable, manufacturable, serviceable, and aligned to customer expectations</p></li><li><p>
Act as a trusted technical advisor to internal teams and external stakeholders, including customers, EPCs, utilities, and technology partners</p></li><li><p>
Establish technical direction and mentor engineers, elevating system‑level thinking across power electronics, controls, and integrated plant design</p></li></ul><p></p><p><b>
Minimum Qualifications</b></p><ul><li><p>
Bachelor of Science degree in Electrical or Electronics Engineering or a related discipline</p></li><li><p>
Minimum of <b>15 years of relevant experience</b> in power generation, particularly in electronics and/or controls</p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
Master&rsquo;s degree or PhD in Electrical or Electronics Engineering, Power Systems Engineering, or a closely related discipline</p></li><li><p>
Direct experience supporting <b>hyperscale or colocation data‑centre projects</b>, mission‑critical facilities, or large‑scale inverter‑based power systems</p></li><li><p>
Strong background in <b>power electronics, inverter‑based resources, and system‑level power architecture design</b></p></li><li><p>
Experience performing detailed system studies using EMT or power‑system simulation tools (e.g., PSCAD, PSS&reg;E)</p></li><li><p>
Working knowledge of industry standards and grid‑interconnection requirements relevant to data centres, including <b>IEEE 1547, IEEE 2800, NERC, FERC, and regional utility / ISO frameworks</b></p></li><li><p>
Experience working with or alongside <b>hyperscalers, colo providers, EPCs, or mission‑critical infrastructure partners</b></p></li><li><p>
Proven ability to operate as a <b>principal‑level technical leader</b>, balancing deep technical analysis with deployment risk, customer impact, and business outcomes</p></li></ul><p></p><div><div><p><b>
Great Reason</b><b>s to work for Generac</b>:</p></div><div><ul><li><p>
Competitive Benefits: Health, Dental, Vision, 401k and many more</p></li></ul></div><div><ul><li><p>
State-of-the-art facility with an onsite gym, walking trails, caf&eacute;, free parking and many employee activities</p></li></ul></div><div><ul><li><p>
Scheduled events throughout the year that allow our employees, both current and retirees, to gather together and enjoy their time with their families and co-workers</p></li></ul></div><div><ul><li><p>
Pride! When a storm strikes, Generac employees always rise to the occasion. Each time a storm hits, many employees volunteer their time with the customer support team or on the production line, while others go right into storm-affected areas to repair generators</p></li></ul></div><div><ul><li><p>
Make a positive impact. Generac has always been community-minded and dedicated to giving back. The company proudly offers a Volunteer Time Off program, inviting team members to participate in charitable volunteer opportunities on company time.</p></li></ul></div><div><ul><li><p>
We believe in having fun. From minor celebrations to major events, our employees balance their work by building a strong culture of teamwork and collaboration through a variety of occasions, including our Fun Days.</p></li></ul></div></div><div><div><ul><li><p>
We&rsquo;re an inclusive company that celebrates differences and keeps equity and respect at the forefront.</p></li></ul></div><p></p><div><p><br>
&ldquo;Generac is committed to fair and equitable compensation practices. The salary range for this role based in Colorado is $159,100.00 - $240,400. This compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by various factors such as a candidate&rsquo;s relevant work experience, skills, certifications and geographic location. This role is eligible for variable compensation including short-term and long-term incentives.</p></div><p></p><div><p><br>
This position includes a comprehensive benefit package that includes medical, dental and vision plans; life, long-term disability, flexible spending and health savings accounts, accrued paid time off, 8 paid Holidays and 401(k) retirement benefits.&rdquo;</p></div></div><p></p><p><b>
Physical Demands</b>: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.</p><p></p><p><i>
&ldquo;We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.&rdquo;</i></p></div>

Principal Engineer – Data Center BESS Applications

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><div>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region <b>. </b>As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</div><p></p><p><b>About the Role
</b></p><p>We are seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.
</p><p></p><p><b>We are looking for </b><b>8+ years Software Engineering or related work experience
</b></p><p></p><p><b>Key Responsibilities will include:
</b></p><ul><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 analyze 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>Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
</li><li>Optimize the entire deep learning pipeline including graph compiler integration
</li>Apply knowledge of software engineering best practices.<br>
<li>
<br>
<br>
</li></ul><p></p><p><b>Desirable Skills and Aptitudes
</b></p><p></p><p><b>Required Skills and Aptitude
</b></p><ul><li>Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
</li><li>Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
</li><li>Very strong hold on Pytorch and JIT.
</li><li>Well versed with open-source development practices.
</li><li>Ability to work independently, define requirements and scope, and lead a development effort.
</li><li>Mentors and guides team members through influence and example, without direct people‑management responsibility
</li><li>Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
</li><li>Strong developer with a research mindset &ndash; strives to innovate.
</li></ul><p></p><p><b>Preferred Skills
</b></p><ul><li>Experiences to run workloads on large scale heterogeneous clusters is a plus
</li><li>Knowledge of compiler is a plus.
</li><li>Hands-on experience with CUDA, CUDNN is a plus.
</li></ul><p></p><p><b>Qualifications
</b></p><p></p><ul><li>Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
</li><li>8+ years Software Engineering or related work experience.
</li><li>2+ years experience with Programming Language such as C++, Python.
</li></ul><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><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><p></p><p><b>Minimum Qualifications:
</b></p><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
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field.
<br>
<br>
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

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

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Systems Engineering
<p></p><p><b>General Summary:
</b></p><div></div><div><b>About us
</b></div><div>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region <b>. </b>As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</div><div></div><div><b>About the role
</b></div><div><p>The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
</p><p></p><p>We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on.<br>
</p><p><br>
Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
</p><p></p><p><b>We are looking for candidates with12+ years Systems Engineering or related work experience<br>
</b></p><p><br>
<br>
<b>Responsibilities will include:
</b></p><ul><li>Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
</li><li>Analyze 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>Analyze and identify system level integration issues, interface with the software development, integration and test teams.
</li><li>Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
</li>Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility<br>
<li>
</li></ul><p><br>
<br>
<b>Minimum Qualifications
</b></p><ul><li>bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
</li>12+ years Systems Engineering or related work experience.<br>
<li>
</li></ul><p><br>
<br>
<b>Required Qualifications
</b></p><ul><li>Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
</li><li>Has experience in model level optimization using techniques like torch compile.
</li><li>Expertise in model architecture, backed by literature rationale and intuition
</li><li>Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
</li><li>Expertise in Model training and inference workflows.
</li><li>Hands-on Experience in C/C++, Python development (5+ years)
</li><li>Hands-on Experience with Object Orientated Design, and software development practices in general
</li><li>Experience with Source Code and Configuration management tools, git knowledge is required
</li></ul><p></p><p><b>Preferred Qualifications and Aptitudes
</b></p><p></p><ul><li>Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
</li><li>Experience in neural network architectures + ML compiler workload synthesis, a plus
</li><li>Prior working experience of hardware accelerators and hardware software co-design
</li><li>Experience of profiling software and optimization techniques
</li><li>Passion to drive to develop leading-edge &quot;deep learning&quot; framework and algorithms working on mobile and embedded platforms.
</li><li>A research mindset with expertise in software development
</li></ul></div><p></p><div><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><ul><li><p>Salary including housing &amp; transport allowance
</p></li><li><p>Stock (RSU's) and performance related bonus
</p></li><li><p>16 weeks fully paid Maternity Leave
</p></li><li><p>6 weeks fully paid Paternity Leave
</p></li><li><p>Employee stock purchase scheme
</p></li><li><p>Child Education Allowance
</p></li><li><p>Relocation and immigration support (if needed)
</p></li><li><p>Life and Medical Insurance
</p></li><li><p>Live+ Well Reimbursement for health and recreational membership fees
</p></li></ul></div><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
</li></ul>OR
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
<p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

Qatar Airways

<div><div><div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Ref #
</div><div>232328
</div></div><div><div>Location
</div><div>Qatar-Doha
</div></div><div><div>Job family
</div><div>Not Specified
</div></div><div><div><ul><li>Closing Date: 2026-04-21</li></ul><br>
</div></div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Description
</b></h3></div><div></div><div><div><div><div><p><b>Job Purpose</b></p><p>
Develop IT strategy, plan, implement, maintain and manage Data Centre, Server and Storage Systems and technologies that enable all IT services required for reliable and safe operations at HIA. Secure the Server and Storage infrastructure including data against internal and external malicious threats and attacks. Oversee the architecture, design, capacity management and supplier management of Server and Storage infrastructure to meet current business needs and future airport growth. Ensure the highest possible availability through redundant architecture and design while optimizing costs through standardization, scalability and optimal usage.</p><p></p><p><b><br>
Key responsibilities</b></p><ul><li>Develop the medium to long term IT strategy for the Server and Storage technologies at HIA, which include: Virtualization, Hyperconverged infrastructure (HCI), Server hardware with Operating system, SAN &amp; NAS Storage, Backup &amp; Recovery, Cloud (Public, Private and Hybrid), etc.</li><li>Accountable for research on emerging industry trends and technologies for Server, Storage and Data protection, and to recommend proposals for their application at MATAR to achieve tangible benefits, improve passenger experience and safeguard company's information assets and IT infrastructure.</li><li>Oversee the professional and efficient system administration, operations, documentation, maintenance, and support of IT systems managed by MATAR IT, ensuring controlled access to production environments in compliance with established Identity and Access Management policies.</li><li>Establish and govern performance objectives for Server and Storage functions, supported by performance management and development plans to ensure sustained productivity and a high performance culture.</li><li>Provide technical consultancy and guidance to the team members and other technical teams.</li><li>Proactively monitor infrastructure trends and initiate design updates and upgrades to prevent any adverse impact on service availability and performance.</li><li>Develop deployment standards based on the Tiering of the applications. Review existing and new application architecture and ensure that the applications are deployed as per the Tier standards</li><li>Accountable for hardening and optimal performance of the IT systems by ensuring all security and other operating system patches, supplier provided latest software/firmware versions/patches are promptly identified, reviewed and assessed for their impact on the relevant environment and are fully tested and implemented where needed</li><li>Ensure all Server and Storage processes and procedures are documented, implemented and adhered to in accordance with corporate IT policies and ISO 20000 &amp; ISO 27001 standards for MATAR IT Services.</li><li>Ensures contract ownership and execution; conduct periodic service review meetings and maintaining professional relationship with external suppliers for assigned IT systems and services; and to ensure optimized usage of licenses.</li><li>Prepares Annual budget for assigned IT Systems and services based on business and operational requirements capacity planning, adoption of new technology and addressing obsolescence.</li><li>Perform additional duties related to the role as assigned by the Head of Department.</li></ul>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualification
</b></h3></div></div><div><div><div><div><ul><li>Bachelor&rsquo;s degree or equivalent with minimum 8 years of experience in a senior/lead or manager role with a strong focus on Data Centre, Server, and Storage technologies</li><li>
Certifications - Relevant professional certifications such as VMWare, Nutanix,Red Hat, Microsoft Azure etc.
</li><li>Experience in designing and implementing Server and Storage technologies and solutions in large scale enterprise environment</li><li>
Good Knowledge of disaster recovery (DR) design, RPO/RTO with enterprise backup and recovery solutions</li><li>
Experience in Cloud architectures, platforms and Hybrid cloud integration</li><li><p>
Relevant technology and data centre certifications.</p></li><li><p>
Experience in designing and implementing Server and Storage solutions.</p></li><li><p>
Experience migrating IT services across data centres.</p></li><li><p>
Knowledge across network, data centre, virtualization, cloud, backup and storage.</p></li><li><p>
Experience with IBM FS9200, HP 3PAR, IBM V7000, DS8800, HP MSA, IBM SVC or equivalent.</p></li><li><p>
Experience administering Brocade SAN Directors or equivalent.</p></li><li><p>
Experience with data protection software (IBM Tivoli, HP Data Protector, Symantec NetBackup).</p></li><li><p>
ITIL-based service delivery processes; ISO 20000 and ISO 27001 standards</p></li></ul>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=232328</div></div></div></div></div></div></div></div><div></div>

Manager IT Server & Storage Technology

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Systems Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><p>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region <b>. </b>As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</p><p></p><p><b>About the Role
</b></p><p>As a Qualcomm Datacenter 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 datacenter technology.
</p><p></p><p>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.
</p><p></p><p><b>We are looking for Engineers with 8+ years of experience
</b></p><p></p><p><b>Principal Duties and Responsibilities:
</b></p><ul><li>Lead the development of end-to-end AI/ML solutions that integrate Qualcomm AI hardware, system software, and ecosystem components to deliver best-in-class AI inference performance, power efficiency, and scalability
</li><li>Drive the design, development, deployment, and optimization of Generative AI and LLM-based applications, with a focus on production readiness and inference efficiency
</li><li>Contribute to and guide the implementation of model fine-tuning, distillation, and optimization strategies tailored for deployment on target hardware
</li><li>Apply deep systems-level expertise to research, design, develop, simulate, validate, and optimize AI systems spanning hardware, system software, AI frameworks, and models, while ensuring system-level requirements are met
</li><li>Perform AI model benchmarking, workload characterization, and performance analysis to influence system requirements, hardware/software co-design, and product direction
</li><li>Serve as a technical lead for customer engagements, supporting AI model onboarding, inference optimization, deployment, and performance tuning
</li><li>Own and drive system-level architecture and design, including requirements definition, interface specifications, performance targets, and implementation of new systems or enhancements to existing platforms
</li><li>Collaborate across cross-functional teams (hardware, software, tools, frameworks, and product) to deliver features, validate AI system correctness, and ensure high-quality execution
</li><li>Stay current with advancements in AI/ML models, inference techniques, and hardware/software innovations, and proactively translate them into impactful solutions
</li><li>Propose and drive new, innovative ideas that meaningfully improve products, platforms, or developer experience
</li><li>Lead system-level debugging and triage, identify root causes across the stack, and clearly communicate findings, trade-offs, and recommendations to team members and stakeholders
</li></ul><p></p><p><b>Preferred Qualifications &amp; Skills:
</b></p><ul><li>Master&rsquo;s or PhD in Engineering, Computer Science, Information Systems, Physics, or a related discipline
</li><li>Strong proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture
</li><li>Hands-on experience designing, deploying, and operating AI/ML systems in production
</li><li>Solid understanding of Generative AI architectures, including transformers, diffusion models, and hybrid systems (LLMs, LVMs, embeddings)
</li><li>Experience with large-scale AI systems architecture, including microservices, distributed systems, event-driven designs, and fault-tolerant/resilient architectures
</li><li>Practical experience with AI inference serving, performance optimization, and scalability across heterogeneous hardware
</li><li>Experience with MLOps practices for AI application development, deployment, monitoring, and lifecycle management
</li><li>Familiarity with automation and DevOps tooling, including GitOps workflows, containerization (Docker), orchestration platforms (Kubernetes), and ML lifecycle tools
</li><li>Strong problem-solving skills with a customer- and solution-focused mindset
</li><li>Experience with cluster schedulers and resource managers (e.g., Slurm, PBS) and workload orchestration is a plus
</li><li>Experience with observability, monitoring, and debugging tools for ML pipelines and inference services
</li><li>Proven ability to operate effectively in a large, matrixed organization, influencing across teams
</li><li>Experience with fine-tuning and optimization of GenAI models, including reinforcement learning techniques, is a plus
</li><li>Well versed in open-source development practices, collaboration, and code quality standards
</li><li>Exposure to rack-level orchestration, fleet management, and data center automation is a plus
</li></ul><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><ul><li><p>Salary including housing &amp; transport allowance
</p></li><li><p>Stock (RSU's) and performance related bonus
</p></li><li><p>16 weeks fully paid Maternity Leave
</p></li><li><p>6 weeks fully paid Paternity Leave
</p></li><li><p>Employee stock purchase scheme
</p></li><li><p>Child Education Allowance
</p></li><li><p>Relocation and immigration support (if needed)
</p></li><li><p>Life and Medical Insurance
</p></li><li><p>Live+ Well Reimbursement for health and recreational membership fees
</p></li></ul><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
</li></ul>OR
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
<p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

System level AI Solutions & Software Engineer (Staff level) - Riyadh, KSA

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