project manager

operations manager

ai engineer

procurement engineer

planning manager

systems engineering manager

Freyssinet Saudi Arabia

MEP Project Manager Company: Freyssinet Saudi Arabia Location: Riyadh, Saudi Arabia Employment Type: Full-Time Job Overview Freyssinet Saudi Arabia (FSA), a leading general contractor established in 1978, is seeking an experienced and highly skilled MEP Project Manager to join our dynamic team in Riyadh. Since our inception, FSA has successfully delivered numerous turnkey projects across Saudi Arabia, transitioning from a specialist in pre-stressed concrete to a renowned contractor for major civil works, including building complexes, hospitals, industrial projects, and commercial centres. The successful candidate will be responsible for planning, executing, and finalising all Mechanical, Electrical, and Plumbing (MEP) aspects of our large-scale construction projects, ensuring they are completed on time, within budget, and to the highest standards of quality and safety. Responsibilities  <ul><li>Lead and manage all MEP-related activities throughout the project lifecycle, from design and procurement to installation, testing, and commissioning.</li><li>Develop detailed project plans, schedules, and budgets for all MEP works, ensuring alignment with overall project objectives.</li><li>Coordinate effectively with clients, consultants, subcontractors, and internal engineering and construction teams to ensure seamless project integration.</li><li>Oversee the preparation and review of MEP technical submittals, drawings, and specifications to ensure compliance with project requirements and industry standards.</li><li>Manage MEP project resources, including labour, materials, and equipment, to optimise efficiency and control costs.</li><li>Conduct regular site inspections to monitor progress, ensure adherence to quality standards, and enforce strict health and safety regulations.</li><li>Identify, analyse, and resolve technical issues, providing expert guidance and innovative solutions to the project team.</li><li>Prepare and present regular progress reports on MEP activities, highlighting key milestones, risks, and financial performance.</li></ul>Qualifications  <ul><li>Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related field.</li><li>Proven track record of success as a Project Manager, with extensive experience managing MEP systems for large-scale building or civil infrastructure projects.</li><li>In-depth technical knowledge of HVAC, plumbing, drainage, fire-fighting, and electrical systems.</li><li>Strong understanding of relevant building codes, technical standards, and regulations within Saudi Arabia.</li><li>Excellent leadership, communication, and interpersonal skills, with the ability to manage and motivate diverse teams.</li><li>Proficient in project management software (e.g., Primavera P6, MS Project) and standard office applications.</li><li>A proactive and solutions-oriented approach to problem-solving.</li><li>Fluency in English is essential; proficiency in Arabic is highly advantageous.</li></ul>

MEP- Project Manager

Job Overview Freyssinet Saudi Arabia is seeking an experienced and dedicated MEP Construction Manager to join our dynamic team. This is a full-time position based in Riyadh, Saudi Arabia. Since our inception in 1978, Freyssinet Saudi Arabia (FSA) has established itself as a leader in the construction industry, transitioning from a specialist in pre-fabricated and pre-stressed concrete to a major general contractor. We have a proud history of successfully delivering a wide variety of large-scale contracts, including building complexes, hospitals, industrial projects, commercial centres, and bridges. The successful candidate will be responsible for overseeing and managing all Mechanical, Electrical, and Plumbing (MEP) aspects of our prestigious construction projects, ensuring they are completed on time, within budget, and to the highest standards of quality and safety. Responsibilities * Lead and manage all on-site MEP-related activities from project inception to completion. * Coordinate effectively with project managers, clients, consultants, and subcontractors to ensure seamless project execution. * Review and approve MEP design drawings, specifications, calculations, and material submittals. * Ensure all MEP works comply with project specifications, industry standards, and local regulations. * Develop and manage MEP project schedules, budgets, and resource allocation plans. * Oversee the installation, testing, and commissioning of all MEP systems, including HVAC, plumbing, electrical, and fire safety. * Implement and enforce strict health and safety protocols for all MEP operations on site. * Conduct regular site inspections to monitor progress, ensure quality control, and identify potential issues. * Provide technical guidance and support to the project team, resolving any complex MEP-related challenges. * Prepare regular progress reports for senior management, detailing project status, milestones, and risks. Qualifications * A Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related discipline. * Proven experience as an MEP Manager or in a similar senior role on large-scale construction projects. * Comprehensive technical knowledge of all major MEP systems, components, and installation procedures. * In-depth understanding of construction project management principles and practices. * Strong leadership, communication, and interpersonal skills, with the ability to manage a diverse team. * Excellent problem-solving and decision-making abilities. * Proficiency in relevant software such as AutoCAD, Revit, and project management tools. * Thorough knowledge of international codes, standards, and health and safety regulations. * Previous experience working in Saudi Arabia or the wider Middle East region is highly advantageous.

MEP- Construction Manager

Mozn

<div>About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
About the role
We are seeking a high-performance Engineering Manager to lead a dedicated team of Engineers building and scaling Focal, with a strong focus on innovation, reliability, and delivering impactful solutions for our customers.
What you'll do
As a Software Engineering Manager, your daily workload might include:<ul><li>
Manage and mentor a team of engineers to design, develop and maintain product features.</li><li>
Ensure the code and design quality are against the industry&rsquo;s best practices and highest standards.</li><li>
Coach and mentor team members on high-level design, architecture, effort sizing, and testing practices.</li><li>
Give engineers feedback on their day-to-day job performance.</li><li>
Steer the engineers&rsquo; individual learning and development plans.</li><li>
Initiate hiring and the allocation of any resources needed to support the team.</li><li>
Removing impediments or guiding the team to remove impediments.</li><li>
Oversee the implementation of the software development process.</li></ul>
Qualifications
Our target profile is candidates with...<ul><li>
BS/MS from a top school in Computer Science or any related field.
</li><li>10 years of software engineering experience, preferably in SaaS or large-scale distributed applications.</li><li>
Previous team leadership experience.</li><li>
Solid communication skills and the ability to convey technical solutions to the end-user and the engineering team. 
Ability to briefly explain sophisticated issues in systems and processes.</li><li>
Solid experience of multiple programming languages with a demonstrated drive to learn and progress in the technical skill and nuanced art of development.
</li><li>Proficient understanding of system design and distributed computing principles. 
Experience with SQL and NoSQL databases, such as HBase, Cassandra, and MongoDB.</li><li>
Solid understanding of the Scrum agile framework and other software development processes.</li></ul>
Benefits<ul><li>
You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.</li><li>
You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.</li><li>
The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best</li><li>
You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.</li><li>
We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.</li></ul></div>

Engineering Manager

Deloitte

<div>
 
 EAI&amp;D &ndash; AI &amp; Data &ndash; AI Architect Manager
 
 
 
 
 About Deloitte
 
 : When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training &amp; Development Excellence Award.
 
 
 
 Our Purpose
 
 
 
 Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most&mdash;for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
 
 
 Our shared values guide the way we behave to make a positive, enduring impact:
 
 
 We are seeking a highly experienced
 
 AI Architect at Manager level
 
 to lead the design, development, and delivery of cutting-edge AI solutions for our clients. The role combines deep technical expertise in artificial intelligence with the ability to shape strategic engagements, advise senior stakeholders, and lead multidisciplinary teams. This is a client-facing leadership position where you will architect enterprise-grade AI solutions that drive measurable business impact.
 
 
 
 Key Responsibilities
 
 
 
 
 Strategy &amp; Advisory
 
 
 
 <ul>
 <li>
 Act as a trusted advisor on emerging AI trends (generative AI, agentic AI, decision intelligence, industrial AI, digital twins, etc.) and their enterprise applications.
 
 
 </li>
 </ul>
 
 Architecture &amp; Solution Design
 
 
 
 <ul>
 <li>
 Define enterprise-scale AI architectures, including LLM-based solutions, MLOps, agent orchestration, data pipelines, and integration with existing enterprise platforms (SAP, Oracle, Salesforce, ServiceNow).
 </li>
 <li>
 Establish best practices in trust, risk, governance, and compliance, ensuring adherence to regulatory frameworks (e.g., GDPR, PDPL, NDMO).
 </li>
 <li>
 Provide architectural leadership across AI infrastructure (cloud platforms such as GCP, AWS, Azure), model deployment frameworks, and edge/on-device AI where relevant.
 
 
 </li>
 </ul>
 
 Delivery &amp; Execution
 
 
 
 <ul>
 <li>
 Lead end-to-end delivery of complex AI programs, from PoC through scaling into production.
 </li>
 <li>
 Collaborate with engineering, data science, and consulting teams to ensure solutions are scalable, secure, and high-performing.
 </li>
 <li>
 Drive the industrialization of AI assets into reusable accelerators and IP for the firm.
 
 
 </li>
 </ul>
 
 Leadership &amp; Practice Building
 
 
 
 <ul>
 <li>
 Mentor and develop AI architects, engineers, and consultants within the firm.
 </li>
 <li>
 Contribute to the growth of the AI consulting practice through go-to-market offerings, client proposals, and thought leadership.
 </li>
 <li>
 Represent the firm at industry forums, conferences, and client workshops as a thought leader in AI architecture.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 8-10 years of professional experience with at least 4+ years in AI/ML architecture roles.
 </li>
 <li>
 Proven experience in consulting or advisory, ideally within Big 4, top-tier consulting, or a global systems integrator.
 </li>
 <li>
 Strong technical foundation in:
 </li>
 <ul>
 <li>
 Large Language Models (LLMs), generative AI, and agent-based systems
 </li>
 <li>
 MLOps, data engineering, cloud-native AI solutions (GCP, Azure, AWS)
 </li>
 <li>
 Enterprise application ecosystems (ERP, CRM, HRM platforms)
 </li>
 <li>
 AI security, governance, and compliance frameworks
 </li>
 </ul>
 <li>
 Track record of leading large-scale AI programs and cross-functional teams.
 </li>
 <li>
 Strong business acumen with ability to translate complex AI concepts into executive-level narratives and measurable value.
 </li>
 <li>
 Advanced degree in Computer Science, Computer Engineering, AI or related field preferred.
 </li>
 <li>
 Willingness to travel across GCC region (50-75% of time)
 
 </li>
 </ul>
 
 Additional Preferred Qualifications
 
 
 
 <ul>
 <li>
 Arabic language is a plus.
 </li>
 <li>
 Professional Certifications in the field is a plus.
 </li>
 <li>
 Publications or articles on Artificial Intelligence topics is a plus.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Strategic Thinking &ndash; Ability to shape enterprise AI transformation journeys.
 </li>
 <li>
 Technical Leadership &ndash; Expertise in designing and governing scalable AI architectures.
 </li>
 <li>
 Client Engagement &ndash; Strong consulting skills, executive presence, and storytelling ability.
 </li>
 <li>
 Innovation Mindset &ndash; Passion for exploring emerging AI paradigms and turning them into business value.
 </li>
 <li>
 People Leadership &ndash; Proven ability to mentor, inspire, and build high-performing teams.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to lead AI architecture for some of the region&rsquo;s most ambitious transformation programs.
 </li>
 <li>
 A platform to shape the future of AI consulting and build new IP and accelerators.
 </li>
 <li>
 Career growth in a dynamic, fast-scaling practice with global exposure.
 </li>
 <li>
 Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
 </li>
 <li>
 Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
 </li>
 <li>
 Strong business acumen, identifying opportunities where data science can drive business value and growth.
 </li>
 </ul>
</div>

Manager | Engineering AI & Data | AI & Data | AI Architect

Scale AI

<div>
 
 About Scale AI
 
 
 
 Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners.
 
 
 At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.
 
 
 
 Role Overview
 
 
 
 We are looking for a technically strong and customer-oriented Engineering Manager to lead the development of AI applications for Saudi government clients. This role sits at the intersection of engineering leadership, AI/ML delivery, and direct client engagement&mdash;requiring someone who is equally comfortable presenting to a government stakeholder as they are reviewing a system architecture or shipping code.
 
 
 As a founding member of our regional team, you will help define how Scale AI shows up for some of the most ambitious public sector AI initiatives in the Gulf. If you thrive in fast-paced, high-impact environments and want to shape the future of AI in government, we would love to hear from you.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery
 </li>
 <li>
 Serve as the primary technical point of contact for KSA government stakeholders&mdash;translating complex engineering concepts into clear, accessible language for non-technical audiences
 </li>
 <li>
 Design, build, and optimize full stack AI applications end-to-end, from data pipelines and ML model integration through to APIs and frontend delivery
 </li>
 <li>
 Develop and deploy AI/ML solutions including LLM-powered features, AI agents, and intelligent automation tailored to government use cases
 </li>
 <li>
 Build and maintain robust API integrations connecting Scale's platform with government systems and third-party services
 </li>
 <li>
 Partner with product, go to market, and government counterparts to define requirements, scope solutions, and drive delivery from conceptualization through production
 </li>
 <li>
 Represent Scale in client-facing settings including workshops, demos, and executive briefings with KSA government agencies
 </li>
 <li>
 Manage the full product lifecycle across multiple workstreams simultaneously, balancing speed and quality in a fast-paced environment
 </li>
 <li>
 Inspire, mentor, and grow engineers on the team, fostering a culture of technical excellence and customer focus
 </li>
 <li>
 Influence team culture, engineering processes, and best practices as a senior leader within the Global Public Sector organization
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development
 </li>
 <li>
 3+ years of engineering leadership experience, with a demonstrated ability to manage and develop high-performing technical teams
 </li>
 <li>
 Strong AI/ML engineering foundation&mdash;hands-on experience building, training, fine-tuning, or deploying machine learning models and LLM-based applications in production
 </li>
 <li>
 Full stack engineering proficiency across the entire application stack, including backend services, APIs, data pipelines, and frontend interfaces
 </li>
 <li>
 Proven experience in a customer-facing or client-embedded engineering role&mdash;comfortable engaging directly with government or enterprise clients, leading technical discussions, and building trust with non-technical stakeholders
 </li>
 <li>
 Experience designing and integrating APIs at scale, including RESTful services and AI/ML APIs
 </li>
 <li>
 Ability to translate complex government business requirements into practical, scalable engineering solutions
 </li>
 <li>
 Track record of shipping high-quality products and features at pace in dynamic, ambiguous environments
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to adapt technical content for diverse audiences
 </li>
 <li>
 Desire to work in a very fast-paced, high-stakes environment where your work directly impacts citizens
 </li>
 <li>
 Experience working in or with the Gulf Cooperation Council (GCC) region is strongly preferred; Arabic language skills a plus
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Engineering Manager, Saudi Arabia

Worley

<div>About us
Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
1. Position Overview
We have been awarded a long-term engagement to support a large-scale industrial energy efficiency improvement program. The successful candidate will serve as a Senior Technical Consultant (Owner's Engineer / Resident SME) , providing expert technical oversight and advisory services across the full lifecycle of energy efficiency projects.
The role involves supporting program design, reviewing energy audit deliverables, validating energy conservation measures (ECMs), overseeing retrofit implementation, verifying energy savings, and contributing to capability development initiatives. The consultant will act as a trusted technical advisor, ensuring the successful delivery of energy performance improvements across multiple industrial facilities.
2. Key Responsibilities
2.1 Technical Advisory &amp; Engineering Support
&middot; Provide technical leadership for industrial energy efficiency and optimization projects.
&middot; Assess and optimize major utility systems, including steam, electrical power, compressed air, cooling, and process utilities.
&middot; Identify energy-saving opportunities and develop energy performance improvement strategies.
&middot; Conduct benchmarking and performance assessments against industry best practices.
&middot; Support program planning, implementation, and technical decision-making.
2.2 Audit Review, Validation &amp; Technical Assurance
&middot; Review and evaluate Walkthrough Assessments, Investment Grade Energy Audits (IGA), Retrofit Designs, and Measurement &amp; Verification (M&amp;V) reports.
&middot; Validate energy baselines, Energy Conservation Measures (ECMs), projected savings, and implementation methodologies.
&middot; Assess the technical feasibility and operational impact of proposed energy efficiency initiatives.
&middot; Ensure compliance with relevant international standards and protocols, including ISO 50001, ASHRAE Guidelines, and IPMVP.
2.3 Techno-Economic Evaluation
&middot; Perform and review financial assessments, including NPV, IRR, payback period, and lifecycle cost analyses.
&middot; Validate CAPEX, OPEX, and energy-saving assumptions used in business cases.
&middot; Support investment prioritization and decision-making through robust economic evaluations.
2.4 Program Governance &amp; Stakeholder Management
&middot; Support project governance and key stage-gate approvals.
&middot; Provide independent technical recommendations and risk assessments.
&middot; Liaise with clients, auditors, contractors, and project stakeholders to ensure alignment and successful project execution.
&middot; Monitor project progress and support issue resolution during implementation.
2.5 Knowledge Transfer &amp; Capacity Building
&middot; Develop technical guidelines, standard operating procedures (SOPs), templates, and best-practice documentation.
&middot; Deliver technical training sessions, workshops, and knowledge-sharing programs.
Support the development of client energy management capabilities and continuous improvement processes.
Qualifications &amp; Experience
Education
&middot; Bachelor's degree in Engineering (Energy, Electrical, Mechanical, Chemical, or related discipline).
&middot; Master's degree in Energy Management or a related field is advantageous.
Professional Certifications
&middot; Certified Energy Manager (CEM), CMVP, PE, PMP, or equivalent professional certifications are desirable but not mandatory.
Experience
&middot; Experienced in industrial energy efficiency, energy management, process optimization, or utility system performance improvement.
&middot; Demonstrated experience in conducting or reviewing energy audits, retrofit projects, and Measurement &amp; Verification activities.
&middot; Experience within energy-intensive industries such as cement, steel, glass, ceramics, mining, petrochemicals, or manufacturing is highly desirable.
&middot; Strong understanding of industrial utilities, energy systems, and energy performance improvement methodologies.
Skills
&middot; Strong analytical and techno-economic evaluation capabilities.
&middot; Excellent technical report review and validation skills.
&middot; Knowledge of ISO 50001, ASHRAE standards, and IPMVP protocols.
&middot; Effective stakeholder engagement and communication skills.
&middot; Ability to work independently while providing technical leadership within multidisciplinary teams.
Moving forward together
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.
<div>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</div></div>

Energy Effiencey Engineer

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; Software Test Engineering
General Summary:
About the Role
The role focuses on the configuration, 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.
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.
Ideal candidate will have 8+ years of experience in SRE
Key Responsibilities will include
1. AI Infrastructure
<ul><li>Define and apply best-practice configurations, 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>2. AI &amp; ML Engineering
<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>3. Site Reliability Engineering (SRE)
<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>4. Observability &amp; Tooling
<ul><li>Define and implement optimal configuration strategies for large-scale AI inference systems, including deployment, operation, and support of critical AI workloads 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>5. Automation &amp; CI/CD
<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>Required Skillset
1. AI &amp; Deep Learning
<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>2. AI Operations
<ul><li>Experience supporting AI or ML applications in production environments.
</li><li>Familiarity with LLM inference pipelines and AI service operations.
</li></ul>3. Programming, Software Configuration &amp; Configuration Strategy
<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, orchestration tools, and best-practice configuration strategies for production AI systems.
</li></ul>4. Systems &amp; Infrastructure
<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>5. Observability &amp; Monitoring
<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>6. DevOps &amp; SRE Practices
<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>Preferred Skillset
<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>Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in engineering, Computer Science, AI/ML, or a related field.
</li></ul><ul><li>12+ years of software, systems, or infrastructure engineering experience, preferably in production or datacenter environments
</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 6+ years of Software Test Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Test Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Test Engineering or related work experience.
 
 
<ul><li>2+ year of work experience with Software Test or System Test, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).
</li></ul>*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.
<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>

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

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