machine learning engineer

Scale AI

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. 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>
 Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don&rsquo;t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.
 
 
 Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.
 
 
 
 The Mission
 
 
 
 <ul>
 <li>
 Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.
 </li>
 <li>
 Systemic Evaluation &amp; Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments.
 </li>
 <li>
 Model Optimisation &amp; Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows.
 </li>
 <li>
 Drive Reliability &amp; Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments.
 </li>
 <li>
 Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights.
 </li>
 <li>
 Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments
 </li>
 <li>
 Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty.
 </li>
 <li>
 Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.
 
 
 </li>
 </ul>
 
 Ideally, You Have
 
 
 
 <ul>
 <li>
 Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable.
 </li>
 <li>
 Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system.
 </li>
 <li>
 Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets.
 </li>
 <li>
 Advanced Degree: A Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.
 
 
 </li>
 </ul>
 
 Nice to Haves
 
 
 
 <ul>
 <li>
 Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability.
 </li>
 <li>
 Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases.
 </li>
 <li>
 Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements.
 </li>
 <li>
 Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.
 
 
 </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>

Machine Learning Engineer, Global Public Sector

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector 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>
 We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
 </li>
 <li>
 Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
 </li>
 <li>
 Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
 </li>
 <li>
 Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
 </li>
 <li>
 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
 </li>
 <li>
 Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
 </li>
 <li>
 Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
 </li>
 <li>
 Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup, particularly as founding engineer
 </li>
 <li>
 Experience building and deploying large-scale AI solutions
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 
 
 </li>
 </ul>
 
 For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted.
 
 
 Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.
 
 
 
 
 
 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>

Applied AI Engineer, Global Public Sector

Iberdrola

<div>Department: Digital Platforms
 
Reports To: Chief Technology Officer (CTO)
 
Location: Doha
Position Description
At East-West Digital / Iberdrola Innovation Middle East, we are scaling our cloud platform and need a highly capable Senior Cloud Security Engineer . You will not act as a theoretical compliance auditor, but rather as a hands-on technical authority with cybersecurity in your DNA . By working shoulder-to-shoulder with engineering teams in a true DevSecOps approach, you will ensure our SaaS products on Google Cloud are secure by design, resilient against attacks, and built with robust, automated defenses from conception to deployment.
<ul><li>Primary mission : Secure the design, deployment, and operation of our SaaS products on Google Cloud through hands-on implementation and technical leadership.</li>
<li>Key stakeholders : Software Architects, Cloud Engineers, Development Teams, and Product Managers.</li>
<li>Employment type : Full-time</li>
</ul>Jobs To Be Done
<ul><li>Technical Leadership &amp; Architecture: Act as the primary technical authority for cloud security. Partner with software architects to perform Threat Modeling on new SaaS products and embed &quot;Security by Design&quot; principles.</li>
<li>Hands-on GCP Implementation: Design, configure, and maintain the native Google Cloud security stack (Cloud Armor, conditional IAM, VPC Service Controls, Secret Manager, Security Command Center).</li>
<li>SaaS &amp; AppSec: Define and implement robust protections for our SaaS applications, focusing on API security, WAF configurations, DDoS mitigation, and secure multi-tenant isolation.</li>
<li>DevSecOps Integration: Guide and implement security automations and controls within our CI/CD pipelines (SAST, DAST, container/artifact scanning).</li>
<li>Validation &amp; Incident Response: Conduct continuous internal security assessments of our infrastructure and deployed applications, identify vulnerabilities, provide pragmatic remediation strategies, and act as a key responder during security events.</li>
</ul>Education Requirements
<ul><li>Minimum: Bachelor&rsquo;s degree in Computer Science, Engineering, Cybersecurity, or equivalent deep, verifiable hands-on engineering experience.</li>
<li>Preferred: Master&rsquo;s degree in Cybersecurity.</li>
<li>Licences/Accreditations: Google Cloud Professional Cloud Security Engineer (highly preferred). Other respected technical certifications (e.g., CISSP, CCSP, OSWE) are a plus.</li>
</ul>Experience
<ul><li>Years of experience: 5&ndash;7+ years in Cybersecurity, with at least 3+ years of deeply hands-on experience exclusively securing Google Cloud (GCP) environments.</li>
<li>Domain exposure: Native GCP security stack (IAM, Cloud Armor, VPC Service Controls, SCC), SaaS architecture, web application vulnerabilities, DevSecOps pipelines, and Infrastructure as Code (Terraform).</li>
<li>Leadership/ownership: Proven track record of technically influencing and guiding senior software architects, and owning the end-to-end security posture of cloud-native, multi-tenant applications.</li>
</ul>Skills and Competencies
<ul><li>Technical:</li>
<li>GCP Security Stack (Cloud Armor, IAM, VPC Service Controls, Secret Manager, SCC) &mdash; Must-have</li>
<li>AppSec &amp; Web Vulnerabilities (OWASP Top 10, API Security, WAF configuration) &mdash; Must-have</li>
<li>Infrastructure as Code (Terraform for security controls) &mdash; Must-have</li>
<li>DevSecOps integration (SAST/DAST within CI/CD pipelines) &mdash; Must-have</li>
<li>Scripting/Automation (Python, Go, or Bash) &mdash; Nice-to-haveNice-to-have</li>
<li>Behavioural: Attacker &amp; Builder Mindset (think like a hacker, build like an engineer), Technical Influence (ability to argue technically and gain respect without being a blocker), Pragmatism, and Ownership.</li>
<li>Tools/Systems: GCP Console/CLI, Terraform, Modern CI/CD systems (GitHub Actions, GitLab CI, etc.), Cloud-native security scanning tools.</li>
</ul>Why Us
<ul><li>Career growth: You will be the guiding light for cloud security at East-West Digital / Iberdrola Innovation ME, shaping the security foundation of new SaaS products from the ground up. We provide continuous learning platforms and sponsor relevant certifications.</li>
<li>Culture: We have an engineering-first mindset where security is an enabler, not a roadblock. We value undeniable technical arguments over compliance checklists. You will work in an international, highly skilled environment at the QSTP</li>
<li>Rewards: Competitive tax-free salary in Qatar, comprehensive health benefits, relocation assistance, and modern workplace perks, among others.</li> 
</ul> 
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. 
 
Job Posting End Date: 
 
 
julio-31-2026</div>

Senior Cloud Security Engineer

QatarEnergy

<div>Primary Purpose of the Job:

The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.<h1 class="jobSectionHeader">
Principle Accountabilities:</h1><ul><li>
Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.</li><li>
Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.</li><li>
Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.</li><li>
Define technical standards for model deployment, monitoring, and maintenance.</li><li>
Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.</li><li>
Partner with business stakeholders to understand requirements and translate them into technical solutions</li><li>
Establish governance frameworks for AI model lifecycle management</li><li>
Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions</li><li>
Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.</li><li>
Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.</li><li>
Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.</li></ul>
Required Experience and Skills:

AI/ML Expertise<ul><li>
8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.</li><li>
Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.</li><li>
5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.</li><li>
Proficient in large language models and generative AI implementations.</li><li>
Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.</li><li>
Experienced with real-time ML systems and edge computing.</li></ul> 
MLOps and DataOps<ul><li>
Strong knowledge of MLOps practices and tools.</li><li>
Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.</li><li>
Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).</li></ul> 
Cloud and Architecture<ul><li>
Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.</li><li>
Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.</li><li>
Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.</li></ul> 
Governance and Compliance<ul><li>
In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.</li><li>
Knowledgeable in AI/ML regulatory compliance.</li></ul> 
Communication and Collaboration
Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
Educational Qualifications:
<ul><li>A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.</li><li>
Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable</li></ul></div>

SR. DIGITAL ARCHITECT

<div>
 
 Primary Purpose Of The Job
 
 
 
 Function as a Senior Civil/Structural Engineer for a Power and Desalination Plant project, providing technical assurance over the Contractor&rsquo;s civil and structural design from commencement through completion. The role requires independent technical capability to manage, review, verify and approve all civil and structural engineering deliverables associated with a power generation and desalination facility, including complex onshore and marine infrastructure.
 
 
 The Senior Civil/Structural Engineer shall ensure suitability of civil and structural designs for site development, dynamic equipment foundations, very large prestressed potable water retaining structures, large‑scale drainage and earthworks, switching stations and electrical yards. Detailed design knowledge of the abovementioned facilities is required, including the ability to develop scopes of work and provide technical assurance for engineered elements.
 
 
 
 Required Experience And Skills
 
 
 
 <ul>
 <li>
 Minimum 15 years of relevant post‑graduate experience, of which at least 10 years shall be related to power plant, oil &amp; gas, or other heavy industrial projects.
 </li>
 <li>
 Experience in plant site development, including roads, earthworks, complex drainage systems, utility‑scale power plants, including heavy turbines and generator foundations associated with major industrial facilities.
 </li>
 <li>
 Design experience in large prestressed potable water retaining structures, and large seawater tanks and settlement basins.
 </li>
 <li>
 Design experience in nearshore and marine civil infrastructure, including seawater intake and brine discharge systems, nearshore civil works, and coastal protection infrastructure.
 </li>
 <li>
 Experience developing scope of work for geotechnical and Topographical investigation and interpreting outcome reports.
 </li>
 <li>
 Experience providing technical support during construction phase of mega‑projects, including resolution of complex civil and structural engineering issues during execution.
 </li>
 <li>
 Experience across Concept / Feasibility, FEED, and EPIC phases.
 </li>
 <li>
 Familiarity with US and European civil/structural codes and standards.
 </li>
 <li>
 Strong technical capability, with the ability to resolve complex engineering issues independently and without reliance on third‑party intervention.
 </li>
 <li>
 Proven ability to manage time, cost and quality in engineering projects within a multiple project environment.
 </li>
 <li>
 Excellent communications and presentation skills with fluency in English.
 </li>
 <li>
 Proven experience working in multicultural teams.
 
 
 </li>
 </ul>
 
 Educational Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Civil or Structural Engineering
 </li>
 <li>
 Chartered Engineer / Professional Engineer status or equivalent is preferable.
 </li>
 </ul>
</div>

SR. CIVIL/STRUCTURAL ENGINEER (ONSHORE)

Texas A&M University

<div>
 The Mechanical Engineering (MEEN) Program of Texas A&amp;M University at Qatar (http://www.qatar.tamu.edu/) invites applications for a full-time faculty position at the assistant level. The position is in the areas of robotics and autonomous systems, with preference given to candidates with expertise in emerging technologies with novel theoretical developments and practical applications, such as industrial robotics; control, autonomous systems; intelligent robotics for exploration, manufacturing, and construction; advanced sensor and actuation technologies; mechatronics and human-machine interaction and applications of artificial intelligence to robotics and autonomous systems. Faculty at Texas A&amp;M University Qatar Campus (TAMUQ) are of two types: instructional track and research track. This position is a research-track position at the assistant level. The official title for this position is Research Assistant Professor, with the working title of Engineering Assistant Professor. Research-track faculty at TAMUQ are expected to teach undergraduate and graduate courses and develop an independent research program, as well as to engage through scholarship within the university and their discipline.
 
 
 This non-tenure track position assumes a 9-month academic appointment with an anticipated start date of Spring 2024 or Fall 2024, depending on the applicant's availability. The hired faculty member is eligible to receive a startup package that covers the summer salary for three years. Following this period, faculty members at Texas A&amp;M at Qatar have a 9-month appointment and may cover the salary of the remaining months from externally funded grants and/or teaching and services.
 
 
 The Mechanical Engineering Program at Texas A&amp;M University at Qatar (hqatar.tamu.edu/programs/mechanical-engineering/) currently has 10 faculty members who have a strong commitment to teaching, research, and service. The program benefits from state-of-the-art facilities and instrumentation supporting its key educational and research missions. There is support in Qatar for research from Qatar National Research Fund and industry. Faculty members may advise graduate students enrolled in degree programs at Texas A&amp;M University.
 
 
 Texas A&amp;M University at Qatar's Mechanical Engineering Program has recently launched a high-impact research initiative that centers on smart and sustainable manufacturing. With the aim of transforming the manufacturing industry towards sustainability and digitization, the initiative brings together faculty from the main campus at College Station, Texas, and those based in Qatar to collaborate on groundbreaking research. We are seeking visionary and motivated faculty members to join our team and contribute to the development of this innovative initiative. As a part of this dynamic research platform, you will have the opportunity to work alongside world-class researchers, tap into state-of-the-art resources, and collaborate on impactful research projects.
 
 
 The MEEN Program is fully committed to a culturally and academically diverse faculty. Therefore, candidates who can contribute further to the faculty diversity, equity, and inclusion are encouraged to apply. This position is in Qatar, a Gulf State in the Middle East, and the successful candidate must relocate to Doha, the capital of Qatar. Doha is a vibrant multicultural city that has excellent schools.
 
 
 Texas A&amp;M University at Qatar is a partnership with Qatar Foundation. Established in 2003, Texas A&amp;M University at Qatar offers Bachelor of Science degrees in Chemical, Electrical and Computer, Mechanical, and Petroleum Engineering and a Master's Program in Chemical Engineering. Texas A&amp;M at Qatar attracts some of the best high school graduates in the region. The degree programs are materially identical to those of the main campus at College Station, Texas. Texas A&amp;M University diploma is awarded to graduates.
 
 
 Doha is the home of Education City (https://www.qf.org.qa/education/higher-education), a dedicated campus devoted to research and education. In addition to Texas A&amp;M at Qatar, the Education City campus hosts other academic institutions, including Weill Cornell Medicine-Qatar, Carnegie Mellon University, Virginia Commonwealth University, Northwestern University, and Georgetown University. As an international institution of higher learning, Texas A&amp;M University at Qatar, and its partners in Education City, have significantly contributed to the development of post-secondary education and cultural growth in Qatar.
 
 
 Texas A&amp;M at Qatar offers a competitive salary package commensurate with rank and experience. The package includes housing, annual home leave allowances, dependent education, local transportation allowance, medical insurance for employees and dependents, plus appropriate relocation and repatriation expenses. Faculty members are also eligible for professional development funds to help them with teaching and curriculum development.
 
 
 The ideal candidate should possess a doctorate degree in mechanical engineering or a closely related field. The candidate should have a demonstrated scholarly record in the area of robotics and smart systems with a relevant Ph.D. dissertation and publications in reputable journals. The successful candidate is expected to have a strong commitment to teaching excellence, developing a viable research program, and service at the professional and institutional levels.
 
 
 The application priority deadline for full consideration is September 1, 2023. However, applications will be accepted until the position is filled. All application materials should be uploaded to Interfolio at: http://apply.interfolio.com/119038 Applicants may also send inquiries to (meen.search.committee@qatar.tamu.edu). The required documents are:
 
 
 <ul>
 <li>
 Cover letter
 </li>
 <li>
 Resume
 </li>
 <li>
 Research and teaching (not to exceed 3 pages in total)
 </li>
 <li>
 Contact information of 4 references who will send letters when requested
 
 
 
 </li>
 </ul>
 Three reference letters will be required for the shortlisted candidates.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 Equal Opportunity/Veterans/Disability Employer.
</div>

Research Assistant Professor (Working Title - Engineering Assistant Professor) Robotics and Autonomous Systems - Mechanical Engineering Program

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.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 The Principal Safety Engineer provides leadership and assurance across all phases of engineering projects (concept, FEED, detailed design, and execution).
 </li>
 <li>
 The role is responsible for driving the implementation of Company's and International HSE standards and best practices, ensuring that safety is fully integrated into engineering design and operational philosophy.
 </li>
 <li>
 The position leads hazard identification and risk assessment studies (HAZID, HAZOP, LOPA, SIL), develops safety philosophies and engineering solutions, and supports quantitative risk assessments, fire and explosion analysis, and functional safety lifecycle activities.
 </li>
 <li>
 The Principal Engineer works closely with multidisciplinary teams and clients to ensure regulatory compliance, risk reduction (ALARP), and required safety performance.
 </li>
 <li>
 Additionally, the role acts as a technical authority, guiding junior engineers, reviewing deliverables, supporting audits and safety cases, and contributing to continuous improvement of HSE practices within the organization.
 
 
 </li>
 </ul>
 
 Quality Assurance
 
 
 
 Responsible for working within the provisions and guidelines of the Quality Assurance systems.
 
 
 
 Safety
 
 
 
 Responsible for personal safety safe working practices. Understand and follow OH&amp;S procedures
 
 
 Promoting health, safety and environmental awareness.
 
 
 
 Education &ndash; Qualifications, Accreditation, Training
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Chemical, Process, or Safety Engineering from an accredited University
 </li>
 <li>
 Master&rsquo;s degree in Safety Engineering, Process Safety, Risk Engineering, or equivalent (highly desirable)
 </li>
 <li>
 Chartered Engineer status (e.g., CEng, PE) or equivalent professional registration (highly desirable)
 </li>
 <li>
 Recognized certifications (preferred):
 </li>
 <ul>
 <li>
 NEBOSH Diploma (International)
 </li>
 <li>
 T&Uuml;V Functional Safety Engineer (IEC 61508 / 61511)
 </li>
 <li>
 IChemE / IMechE / IOSH Membership (MIOSH/CMIOSH)
 </li>
 <li>
 Certified Safety Professional (CSP) or equivalent
 
 </li>
 </ul>
 </ul>
 
 Industry Specific Experience
 
 
 
 <ul>
 <li>
 Vast experience in HSE / Process Safety within the Oil &amp; Gas (upstream, midstream, downstream), petrochemicals, LNG
 </li>
 <li>
 Proven experience in engineering design or EPC environment
 </li>
 <li>
 Demonstrated leadership in major capital projects (FEED, EPC, brownfield modifications)
 </li>
 <li>
 Experience working with international clients, regulators, and multi-disciplinary teams
 </li>
 <li>
 Prior role as
 
 
 </li>
 </ul>
 Lead / Principal HSE Engineer on Projects
 
 
 
 Industry Technical Competencies Required
 
 
 
 <ul>
 <li>
 Extensive expertise in:
 </li>
 <ul>
 <li>
 Process Safety Management (PSM) frameworks (OSHA 29 CFR 1910.119, CCPS RBPS)
 </li>
 <li>
 Hazard Identification &amp; Risk Assessment methodologies:
 </li>
 <ul>
 <li>
 HAZID, HAZOP, LOPA, SIL, Bowtie, QRA
 </li>
 </ul>
 <li>
 Consequence analysis and risk modeling:
 </li>
 <ul>
 <li>
 Vapor cloud explosion, dispersion, fire radiation (e.g., PHAST/Safeti knowledge)
 </li>
 </ul>
 <li>
 Functional Safety &amp; Instrumented Protection Systems:
 </li>
 <ul>
 <li>
 IEC 61508 / IEC 61511 lifecycle
 </li>
 </ul>
 <li>
 Fire &amp; Explosion Engineering:
 </li>
 <ul>
 <li>
 Passive/Active Fire Protection (PFP/AFP), FERA, EERA
 </li>
 </ul>
 <li>
 Loss Prevention philosophy and design safety principles
 
 </li>
 </ul>
 </ul>
 
 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.
 
 
 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>

Principal Safety Engineer

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