Вакансии

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to  improve Figma’s products. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: You will be driving fundamental and applied research in AI. You will explore the boundaries of what is possible with the current technology set to build best in class models for Figma’s domains You will be combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation Work in concert with product and infrastructure engineers to improve Figma’s products through AI powered features Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems Build evaluation systems to measure and improve quality of AI features in Figma products We'd love to hear from you if you have: Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO. Experience with RL from execution feedback for Coding, and RL with non-verifiable rewards will be a plus 4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R) Experience communicating and working across functions to drive solutions While not required, It’s an added plus if you also have: Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision Experience in mentoring/influencing senior engineers across organizations Expertise working on large scale and distributed AI training At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Dammam, Saudi Arabia; Riyadh, Saudi Arabia This position offers round-the-clock support, operating 24/7 throughout the year to deliver comprehensive assistance for the enterprise server environment. The responsibilities include the installation, configuration, management, operation, and maintenance of all Windows server systems and Windows Clusters. This role is crucial for maintaining system stability through daily operations, patch management, monitoring, and troubleshooting, as well as providing support for SAP environments that run on Windows. Key Responsibilities: Role Overview This position operates continuously throughout the year to deliver comprehensive support for the enterprise server landscape. The individual will be responsible for the installation, configuration, management, operation, and maintenance of all Windows server systems and Windows Clusters. This role is critical in ensuring system stability through daily operational tasks, patching, monitoring, and troubleshooting, while also providing support for SAP environments hosted on Windows. Areas of Responsibility Key Accountabilities Strategic Management Ensure that all Windows systems are effectively managed and maintained in accordance with vendor guidelines and security best practices, while also ensuring compliance with NCA, NIC, and SEC Cybersecurity regulations. Operations Management Install, configure, manage, operate, and maintain Windows Server systems and Windows Clusters (e.g., Server 2012, 2016). Provide daily operational support, including OS installation, monitoring, troubleshooting, virus protection, and resource management. Oversee Windows File shares and clusters, as well as support SAP, SAP HANA, and SAP S/4HANA environments on the Windows platform. Consistently review system logs and OS behavior to proactively monitor performance and resolve any issues. People Management Build Relationships Collaborate closely with ERP, application, database, and web hosting teams to address daily support and break/fix issues, as well as manage scheduled maintenance. Process Improvement & Knowledge Management Manage and maintain client agents for server monitoring (SCOM) and server management (SCCM). Offer guidance for automation processes within the Microsoft Orchestrator environment. Develop and maintain both technical and detailed design documentation, as well as operational documentation. Create, manage, and delete user/group accounts, and enforce account policies. Raise and oversee support tickets with Microsoft, including troubleshooting, log collection, and follow-up activities. Requirements Requirements: Degree: Bachelor’s degree in Computer Science, Information Technology, or a related discipline. Years of Experience: 3-5+ years of experience in enterprise Windows Server administration. Technical Skills: Proficient in Windows Server (2012, 2016+) and Windows Clustering. Extensive experience with Microsoft System Center (SCOM, SCCM), and knowledge of Microsoft Orchestrator for automation tasks. Familiarity with supporting SAP, SAP HANA, or SAP S/4HANA on Windows platforms. Skilled in operating system installation, monitoring, troubleshooting, and patch management. Experience managing Active Directory, user account configurations, and group policies. Generic Skills: Capability to function in a 24/7/365 shift-based work environment. Strong documentation abilities for both design and operational processes. Excellent skills in collaborating with application and database teams. Awareness of cybersecurity regulations (NCA, NIC). Decision Making Authority: Empowered to install, configure, patch, and maintain all Windows server systems and clusters. Accountable for daily operations, monitoring, and troubleshooting in the Windows environment. Authorized to create and manage user/group accounts and policies. Responsible for overseeing the full lifecycle of vendor support tickets with Microsoft. Preferred Qualifications: Familiarity with virtualization technologies (such as VMware or Hyper-V). Understanding of network fundamentals and protocols (TCP/IP, DNS, DHCP). Knowledge of system backup and recovery solutions. Detail-oriented and organized approach to managing tasks and documentation. Passion for technology and eagerness to stay updated on industry trends. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia; Dammam, Saudi Arabia This position functions around the clock, 24/7/365, to deliver extensive support for the enterprise RHEL server environment. The role involves the installation, configuration, management, operation, and maintenance of all RHEL server systems and RHEL Clusters (including Pacemaker). It is essential to ensure system stability through daily operations, patch management, monitoring, and troubleshooting, as well as providing support for SAP environments that operate on RHEL. Key Responsibilities: Install, configure, and manage Linux servers and applications to ensure optimal performance and high availability. Monitor system performance, perform routine maintenance, and apply updates as needed. Identify and resolve issues related to the operating system, hardware, and network configurations. Implement and enforce security best practices within Linux environments, including firewalls, user permissions, and file integrity measures. Assist in the deployment and management of applications hosted on Linux servers. Document system configurations, procedures, and troubleshooting documentation for reference by the team. Support backup and recovery processes to maintain data integrity and availability. Collaborate with development teams to enhance deployment processes and ensure effective integration of Linux applications. Ensure that all RHEL systems are managed in accordance with vendor recommendations and security best practices, while also maintaining compliance with NCA, NIC, and SEC Cybersecurity regulations. Contribute to the management of the operating system lifecycle, including planning for version upgrades and decommissioning. Install, configure, manage, operate, and maintain RHEL server systems and clusters (e.g., RHEL 7, 8, 9). Provide daily operational support, including OS installation, monitoring, troubleshooting, virus protection, and resource management. Manage RedHat HA Extension (PACEMAKER) clusters and support SAP, SAP HANA, and SAP S/4HANA environments on the RHEL platform. Regularly review system logs and OS behavior to proactively monitor and address potential issues. Build strong relationships with the ERP, application, database, and web hosting teams for daily support, troubleshooting, and scheduled maintenance activities. Manage and maintain client agents for server monitoring (SCOM, AppDynamic) and server management (SCCM). Create and maintain technical and detailed design documentation, as well as technical operation documentation. Create, maintain, and delete user/group accounts and implement account policies. Raise and manage support tickets with RedHat, including troubleshooting, log collection, and follow-up. Requirements Requirements: Degree: Bachelor’s degree in Computer Science, Information Technology, or a related field. Years of Experience: 3-5+ years of practical experience in Linux System Administration (RHEL/CentOS) in an enterprise context. Special Technical Skills: Proficient in RHEL (versions 7, 8, 9) and RHEL Clustering (Pacemaker). Extensive experience in supporting SAP/SAPHANA on RHEL. Demonstrated ability in the installation, monitoring, troubleshooting, and patch management of operating systems. Experience in managing user and group accounts. Familiarity with monitoring solutions such as SCOM/AppDynamics and management tools like SCCM. Special Generic Skills: Capability to work in a 24/7/365 shift environment. Excellent documentation skills, including design and operational documentation. Strong teamwork abilities for effective collaboration with application and database teams. Awareness of cybersecurity regulations (NCA, NIC). Decision Authority Matrix: Authorized to install, configure, patch, and maintain all RHEL systems and clusters. Responsible for daily operations, monitoring, and troubleshooting of the RHEL environment. Empowered to create and manage user/group accounts and their associated policies. Oversee the entire lifecycle of vendor support tickets for RedHat. Preferred Qualifications: Certifications such as Red Hat Certified System Administrator (RHCSA) or Linux Professional Institute Certification (LPIC) are a plus. Experience with cloud services (AWS, Azure) for deploying and managing Linux applications. Familiarity with configuration management tools (e.g., Ansible, Puppet). Ability to manage multiple priorities and projects in a fast-paced environment. Strong communication skills to work effectively with remote teams. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia; Dammam, Saudi Arabia Join our team at Müller's Solutions as a Network Monitoring Analyst (ACI/F5 L1) dedicated to supporting our network infrastructure in Saudi Arabia. This position is exclusively for Saudi Nationals and focuses on Providing foundational (L1) support for the SEC Data Center and Cloud Networks, with a specific focus on Cisco ACI and F5 load balancing technologies. This role operates on an 8x5 schedule with on-call responsibilities, focusing on monitoring, initial fault management, incident registration, and escalation to senior support teams. Key Responsibilities: Oversee the performance and health of the network utilizing Cisco ACI and F5 technologies, proactively identifying and addressing issues as they arise. Deliver first-level support for network-related incidents and service requests, ensuring prompt resolution and minimal impact on operations. Work in collaboration with engineering teams to facilitate the deployment and management of network configurations and policies. Regularly analyze network traffic and performance metrics to enhance system functionality. Record network operations, incidents, and resolutions for compliance purposes and future reference. Support network security by monitoring and addressing potential threats or vulnerabilities. Keep informed about best practices, trends, and technologies pertinent to application networking and monitoring. Actively monitor infrastructure alarms for ACI and F5 systems, performing initial fault management, which includes basic isolation, restoration, and notifications. Log issues identified through monitoring or reported by other teams. Engage in remediation activities according to established support guidelines and Standard Operating Procedures (SOPs). Create, assign, and aid in the resolution of daily Level 1 incidents. Document known fault types in the knowledge base. Adhere to all essential operational processes, including fault/incident management, performance monitoring, and change control. Monitor network performance and assist in troubleshooting basic network issues. Collaborate closely with the monitoring tools team to optimize and contextualize infrastructure alarms. Communicate complex issues and escalate them to Level 2/3 engineers for resolution. Requirements Requirements: Diploma or Bachelor's degree in Computer Science, Information Technology, or a related field. 1-2 years of experience in network monitoring or support roles, preferably with Cisco ACI and F5 technologies. Ability to work 8x5 and provide on-call support. Strong attention to detail and ability to follow defined procedures (SOPs). Good communication skills for escalating issues and collaborating with teams. Good documentation skills. Basic understanding of networking principles, TCP/IP, and application delivery functionality. Familiarity with network monitoring tools and services. Strong troubleshooting skills with the ability to analyze and resolve technical issues. Good communication and collaboration skills to work effectively within a team. Must be a Saudi National. Preferred Qualifications: Experience with load balancers, firewalls, and application performance management tools. CCNA or similar networking certification is a plus. Knowledge of ITIL practices is beneficial. Willingness to learn and adapt to new technologies and methodologies in network monitoring. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar; Cairo, Egypt; Amman, Jordan The LEM Specialist provides professional service and support for laboratory research equipment by performing field service reactive maintenance repairs, preventive maintenance, and calibrations. He/she will be a mentor to junior maintenance personnel, and will prepare, plan and complete user maintenance and equipment operation training sessions. The LEM Specialist will deliver the highest level of service to maximize equipment uptime while minimizing maintenance costs. He/she will focus in the maintenance of cooling systems, growth chambers, autoclaves, and glass washers. He/she will work within guidelines established by the LEM head and Laboratory Equipment Maintenance Leads, and will follow established standard operating procedures. Key Responsibilities: Perform reactive and preventive maintenance on laboratory research equipment, including cooling systems, growth chambers, autoclaves, and glass washers. Troubleshoot and repair equipment issues promptly to maximize uptime and reduce maintenance costs. Coordinate maintenance schedules with end-users to ensure minimal disruption to research activities. Mentor junior technicians and support team development through knowledge sharing and training. Conduct user training sessions on equipment operation and preventive maintenance best practices. Communicate effectively with vendors and manufacturers to obtain technical support, spare parts, and training. Maintain accurate documentation of maintenance activities, communications, and equipment status. Ensure compliance with HSE and institutional safety policies, maintaining safe work habits at all times. Collaborate with maintenance leads and team members to improve workflows, increase automation, and enhance service levels. Support spare-parts management by identifying needs, optimizing inventory, and assisting in the ordering process. Requirements Associate's degree or Bachelor’s degree in Heating, Ventilation, Air Conditioning and Refrigeration (HVACR) or related field Minimum two (5) years’ of work experience in maintaining refrigeration equipment, using maintenance reporting systems, and practicing customer focus techniques Experience in maintaining equipment from a KAUST preferred manufacturer: Buchi, CLF Plant Climatics, Systec, GE, Labconco, Liebherr, Smeg, Panasonic, Peak, Percival, and Thermo-Fisher is desirable Experience with other major manufacturers will be considered Experience maintaining equipment from one or more of the following technologies: Ultra-low temperature freezers, glassware washers, heat exchangers, press machines, chillers, heaters and ovens. Strong planning and organizational skills Ability to communicate in a clear and concise manner

Location: Bremen, Germany About the position You are expected to contribute to the development of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and representing deep semantic and pedagogical structures in scientific and educational materials; high-fidelity extraction of conceptual and reasoning blocks; inference-time rationale generation; and adaptive, learner-aware sequencing of content. This includes work on semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, ontology alignment across disciplines, and human-in-the-loop optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences. You will contribute to developing datasets, baseline models, personalized learning engines, reasoning-graph representations, cross-domain mapping algorithms, and RLHF-style feedback loops that improve system interpretability and instructional quality. The successful candidate will also contribute to high-quality publications, release research prototypes, and support demonstrator systems that deliver structured semantic extraction, rationale-aware content generation, and cross-domain transfer of reasoning structures. Additionally, the successful candidate is expected to support teaching activities in areas such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in course delivery, advising students, supervising Bachelor/Master theses, and engaging in methodological innovation for online, hybrid, and in-person learning environments. The university provides strong support for early-career researchers, including mentorship, administrative assistance, access to computational resources, conference funding, and opportunities to collaborate with other research groups and industrial partners working at the intersection of AI and digital education. Mandatory requirements Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field. Strong research interest and practical experience in one or more of the following areas: semantic parsing and structured representation learning knowledge graphs or graph-based reasoning transformer models, sequence modeling, or GNNs natural language generation and explainability educational AI, personalization algorithms, or cognitive modeling Evidence of research potential through publications, a strong thesis, or significant projects. Experience or interest in innovative teaching and learning approaches. Ability to translate theoretical insights into engineered prototypes and systems supporting scientific or educational use cases. Responsible, self-motivated, and capable of working independently as well as collaboratively. Excellent verbal and written communication skills. Intercultural competence and experience in international environments. Fluency with co-pilot tools for coding and writing. Fluency in English, the language of instruction and communication on campus. Funding & Appointment Terms The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €550 mini-job allowance to support parallel part-time employment (optional) Application Details Expected start date: September , 2026 Application package must include: Curriculum Vitae (CV); Academic transcripts ; A detailed letter of motivation outlining research interests and career goals; 2 recommendation letters; Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Bremen, Germany About the position You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) . As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile. Mandatory requirements PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field. Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK, AAAI). Demonstrated expertise in at least two of the following areas: semantic parsing or structured NLP knowledge representation, reasoning graphs, or GNNs natural language generation, explainability, or rationale modeling ontology alignment, cross-domain transfer, or representation learning personalization algorithms, metacognition, or educational AI human-in-the-loop systems or RLHF Experience in leading research tasks, mentoring junior researchers, and coordinating multi-stage projects. Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). Strong analytical, communication, and academic writing skills. Demonstrable ability to design rigorous experimental pipelines and validation methodologies. Responsible, independent, and proactive research personality with strong teamwork skills. Intercultural experience and readiness to work in an international research environment. Fluency with AI co-pilot assistants for coding and writing. Fluency in English, the primary language of research and instruction on campus. Preferred qualifications: Experience in developing research prototypes, evaluation benchmarks, or large-scale datasets. Prior involvement in interdisciplinary or applied research projects. Potential to contribute to competitive funding applications. Experience with open-source releases or reproducible research pipelines. Application Details Starting date: September , 2026 Contract: Full-time (100%), TV-L E13 Work mode: Hybrid Application package must include: Curriculum Vitae (CV); A detailed letter of motivation outlining research interests and career goals; 2 recommendation letters; Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia Eram Talent is on the lookout for a skilled Welding Inspector, specifically with Aramco approval, to join our esteemed team in the Oil & Energy sector. As a prominent Talent Acquisition Consultancy, we excel at connecting highly qualified professionals with impactful projects. This role is essential for ensuring the quality, safety, and compliance of mechanical and piping systems in alignment with Aramco standards. As a Welding Inspector, your expertise will ensure that all mechanical and piping installations are up to the requisite standards, thus safeguarding both operational integrity and environmental compliance. You will collaborate closely with project teams to drive the highest standards of quality and safety in our projects. Responsibilities Conduct thorough inspections of mechanical and piping systems in accordance with Aramco standards and specifications. Evaluate the quality of materials and workmanship during the installation and assembly of piping systems. Prepare detailed inspection reports, documenting findings, non-conformances, and recommendations for corrective actions. Collaborate with project management and engineering teams to ensure compliance with project specifications. Perform inspections at various stages of the construction process to ensure all work meets safety and quality standards. Provide technical guidance and support to construction teams to rectify any identified issues. Participate in quality meetings and discussions with stakeholders to communicate inspection findings and address concerns. Requirements Bachelor’s degree in Mechanical Engineering or a related field. Minimum of 8 years of experience in mechanical and piping inspection, preferably in the Oil & Gas industry. Must be Aramco-approved as a Mechanical and Piping Inspector. Strong knowledge and understanding of piping codes, standards, and specifications, including ASME, API, and others related to Aramco projects. Experience with Non-Destructive Testing (NDT) methods and the ability to interpret inspection results accurately. Excellent analytical skills with a meticulous eye for detail. Strong communication skills for effective collaboration with cross-functional teams. Ability to manage multiple tasks while adhering to strict deadlines. Proficient in using inspection tools and software for documentation and reporting.

Location: Ras Tanura, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia Eram Talent is on the lookout for a skilled Mechanical and Piping Inspector, specifically with Aramco approval, to join our esteemed team in the Oil & Energy sector. As a prominent Talent Acquisition Consultancy, we excel at connecting highly qualified professionals with impactful projects. This role is essential for ensuring the quality, safety, and compliance of mechanical and piping systems in alignment with Aramco standards. As a Mechanical and Piping Inspector, your expertise will ensure that all mechanical and piping installations are up to the requisite standards, thus safeguarding both operational integrity and environmental compliance. You will collaborate closely with project teams to drive the highest standards of quality and safety in our projects. Responsibilities Conduct thorough inspections of mechanical and piping systems in accordance with Aramco standards and specifications. Evaluate the quality of materials and workmanship during the installation and assembly of piping systems. Prepare detailed inspection reports, documenting findings, non-conformances, and recommendations for corrective actions. Collaborate with project management and engineering teams to ensure compliance with project specifications. Perform inspections at various stages of the construction process to ensure all work meets safety and quality standards. Provide technical guidance and support to construction teams to rectify any identified issues. Participate in quality meetings and discussions with stakeholders to communicate inspection findings and address concerns. Requirements Bachelor’s degree in Mechanical Engineering or a related field. Minimum of 8 years of experience in mechanical and piping inspection, preferably in the Oil & Gas industry. Must be Aramco-approved as a Mechanical and Piping Inspector. Strong knowledge and understanding of piping codes, standards, and specifications, including ASME, API, and others related to Aramco projects. Experience with Non-Destructive Testing (NDT) methods and the ability to interpret inspection results accurately. Excellent analytical skills with a meticulous eye for detail. Strong communication skills for effective collaboration with cross-functional teams. Ability to manage multiple tasks while adhering to strict deadlines. Proficient in using inspection tools and software for documentation and reporting.

Location: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia Eram Talent is on the lookout for a skilled Mechanical and Piping Inspector, specifically with Aramco approval, to join our esteemed team in the Oil & Energy sector. As a prominent Talent Acquisition Consultancy, we excel at connecting highly qualified professionals with impactful projects. This role is essential for ensuring the quality, safety, and compliance of mechanical and piping systems in alignment with Aramco standards. As a Mechanical and Piping Inspector, your expertise will ensure that all mechanical and piping installations are up to the requisite standards, thus safeguarding both operational integrity and environmental compliance. You will collaborate closely with project teams to drive the highest standards of quality and safety in our projects. Responsibilities Conduct thorough inspections of mechanical and piping systems in accordance with Aramco standards and specifications. Evaluate the quality of materials and workmanship during the installation and assembly of piping systems. Prepare detailed inspection reports, documenting findings, non-conformances, and recommendations for corrective actions. Collaborate with project management and engineering teams to ensure compliance with project specifications. Perform inspections at various stages of the construction process to ensure all work meets safety and quality standards. Provide technical guidance and support to construction teams to rectify any identified issues. Participate in quality meetings and discussions with stakeholders to communicate inspection findings and address concerns. Requirements Bachelor’s degree in Mechanical Engineering or a related field. Minimum of 8 years of experience in mechanical and piping inspection, preferably in the Oil & Gas industry. Must be Aramco-approved as a Mechanical and Piping Inspector. Strong knowledge and understanding of piping codes, standards, and specifications, including ASME, API, and others related to Aramco projects. Experience with Non-Destructive Testing (NDT) methods and the ability to interpret inspection results accurately. Excellent analytical skills with a meticulous eye for detail. Strong communication skills for effective collaboration with cross-functional teams. Ability to manage multiple tasks while adhering to strict deadlines. Proficient in using inspection tools and software for documentation and reporting.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Makkah, Saudi Arabia; Tabuk, Saudi Arabia; Yanbu, Saudi Arabia; Al Bahah, Saudi Arabia Eram Talent is seeking a dedicated and skilled Data Center Technician to join our team in Saudi Arabia. Data Center Technician perform 24x7 shifts for Data Centers. Handle incidents and ensure safety requirements are met. Monitor environmental, power and server hardware. Handle cabling tasks for copper and fiber. Control access into the data centers, ensure work permits and material gate passes are issued. Install equipment in racks and document changes Key Responsibilities: Install, configure, and maintain data center equipment, including servers, storage devices, and networking hardware. Handle physical setup of devices, including racking servers and running/removing cables (power, network, KVM). Perform basic OS installation and server configurations (Windows/Linux). Support hardware break/fix by troubleshooting issues and coordinating with vendors (HP, Dell, SUN, Supermicro). Monitor Data Center infrastructure: security, HVAC, fire systems, temperature, humidity, and power. Ensure Data Center security and supervise all visitors. Perform cabling work (copper & fiber) according to TIA-942 standards. Prepare end-of-shift reports and follow SOPs. Work flexible shifts, including nights/weekends, and handle on-call duties. Coordinate preventive maintenance with facility and IT teams. Requirements Qualifications: BS or Diploma in Computer Science, IT, Electrical Engineering, or Mechanical Engineering. Minimum 3 years of IT experience, including at least 2 years in Data Centers. Strong basic understanding of data center infrastructure (electrical, mechanical, cooling, UPS, etc.). Hands-on experience with server hardware, cabling, and troubleshooting. Good knowledge of Data Center Infrastructure (Electrical/Mechanical concepts APC infrastructure experience is preferred. Familiarity with Windows/Linux servers for basic configuration and installation. Ability to work flexible shifts, including nights, weekends, and on-call rotation.

Location: Al Jubail, Saudi Arabia Eram Talent, a leading Talent Acquisition consultancy, is on the lookout for a dedicated Electrical Technician to join a prominent company in Saudi Arabia. In this role, you will be responsible for overseeing the installation, maintenance, and repair of a variety of electrical systems and equipment. This position offers a unique opportunity to work within an innovative team in a dynamic environment. Responsibilities Install and maintain electrical systems, wiring, and equipment in accordance with industry standards. Diagnose and troubleshoot electrical issues, providing timely and effective solutions. Conduct regular inspections to ensure compliance with safety standards and electrical codes. Document maintenance activities and report any concerns to management. Work collaboratively with other technicians and departments to enhance operational efficiency. Stay abreast of new technologies and methods in electrical maintenance. Participate in training sessions and professional development opportunities. Requirements High School Diploma or equivalent; technical certification in Electrical Engineering is preferred. At least 5 years of experience as an Electrical Technician. Solid understanding of electrical systems, circuits, and troubleshooting techniques. Knowledge of local electrical codes and health and safety regulations. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Ability to work independently and manage task priorities effectively. Willingness to work flexible hours and respond to emergency calls as needed.

Location: Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. We are looking for an experienced and driven individual to join our Construction Materials Testing Team! As a Senior Construction Materials and Testing (CMT) Technician, you will play a crucial role in ensuring the quality and safety of construction projects. You will independently collect construction materials samples from various construction sites and perform tests and inspections to assess the properties and integrity of those materials, using specialized equipment and following established procedures and standards. You will document your findings and communicate results to project managers and other stakeholders, facilitating informed decision-making and maintaining the structural integrity and safety of construction projects. You will also travel to various job sites around the Oklahoma City and/or Tulsa area metro and work in all types of terrain and weather conditions. This position includes: The use of a company truck for transportation to and from job sites. Applicable PPE (personal protective equipment) provided. Work boot reimbursement program. Company issued laptop. Cell phone reimbursement options. Receive fully paid training, opportunity to participate in our mentorship program, and gain hands-on experience by shadowing seasoned professionals. You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Ability to contribute and work well on a team. Associate degree from a technical or four-year school preferred, but not required. 6+ years' experience in construction observation or inspection. ICC, ACI Grade I, Nuclear Gauge certifications required OR a bachelors degree in engineering with EIT. ODOT certifications preferred. The ability to work in a constant state of alertness and safe manner. Willingness to work a flexible schedule. Valid driver’s license and a good driving history. Must be able to lift and carry up to 50 pounds. #LI-HH Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Prague Workplace: remote We are looking for AI Data Specialists to support the improvement of AI-generated content in Vietnamese.   Job Type: Freelance Location: Remote Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Rate: 8 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different)    Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?   What You’ll Do The role involves performing diverse data-related tasks, including:   - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data)   What we’re looking for: - Native-level fluency in Vietnamese. - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2). - AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.   What We Offer - 100% remote work - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents   Please apply using a GMAIL account if you have one.   #LI-PR1505 Vendor Type   When applying, please select the option that best describes your working status.   Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.   RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.    #LI-PR1505

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's AI Group is responsible for defining new ML products, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, novel applications of transformer neural networks and fine-tuned LLMs. We test and measure the real customer impact of everything we deploy. We plan to double in size, and are on the lookout for an experienced manager to manage a team of highly-performing ML scientists. Engineering managers in Fin are not just people managers: they also have a track record of IC contributions, and can stay close to the work of their team. We won’t ask you to write code every day, but you should feel comfortable giving technical advice to your team and having a good deep grasp of what it should (or shouldn’t!) work on (and maybe even do an occasional code review or a PR). What will I be doing? Managing, mentoring and coaching a team of 10+ ML scientists, spread across our three offices in Dublin, London and Berlin. Collaborating with ML, engineering, product, and design leaders to shape work of the team and the impact it has on our products. Enabling your team to achieve high levels of productivity, performance and reliability. Expanding the team and promoting its brand both internally and externally (recruitment, event planning, etc.). What skills might I need? Experience leading, developing and supporting ML teams that deliver impact quickly. A 5+ year track record of your own individual contributions in ML, AI, NLP, or data-related field. Excellent applied ML and coding skills. The ability to thrive in an ambiguous environment with a high degree of autonomy. Strong communication skills, both within technical teams and across disciplines. MSc or PhD in an ML-related field, or similar knowledge. Bonus skills & attributes Track record shipping ML user-facing products. Experience in a research environment. Deep experience in an applicable ML area - e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering. Data skills: visualization, SQL etc. Deep knowledge of software engineering practices. Experience in recruiting ML scientists in a capacity similar to a hiring manager. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Paris; Marseille; Lyon; Toulouse; Nantes; Montpellier; Strasbourg Workplace: remote We are looking for AI Data Specialists to support the improvement of AI-generated content in French.   Job Type: Freelance Location: Remote in France Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: TBC Rate: 16.50 USD per hour (rates vary per country; if you are based elsewhere, the rates will be different)     Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?   What You’ll Do The role involves performing diverse data-related tasks, including:   - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data)   What We’re Looking For - Native-level fluency in French. - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.   What We Offer - 100% remote work - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents   #LI-CAN17 Vendor Type   When applying, please select the option that best describes your working status.   Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.   RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.    #LI-PR1505

Location: Kuala Lumpur Workplace: remote We are looking for AI Data Specialists to support the improvement of AI-generated content in Chinese (Traditional and Simplified).   Job Type: Freelance Location: Remote in Malaysia Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: Long-term project Rate: Rates vary per country   Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?   What You’ll Do The role involves performing diverse data-related tasks, including:   - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data)   What We’re Looking For: - Native-level fluency in Chinese (Traditional and Simplified) - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.   What We Offer - 100% remote work - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents   Please apply using a GMAIL account if you have one.    #LI-PR1505 Vendor Type   When applying, please select the option that best describes your working status.   Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.   RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.    #LI-PR1505

Location: Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Chemnitz, Germany; Bramsche, Germany; Darmstadt, Germany; Dresden, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Halle, Germany; Greifswald, Germany; Hamburg, Germany; Hannover, Germany; Karlsruhe, Germany; Heinsberg, Germany; Koln, Germany; Kiel, Germany; Leverkusen, Germany; Leipzig, Germany; Magdeburg, Germany; Lingen, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuss, Germany; Neuruppin, Germany; Nuremberg, Germany; Osnabrück, Germany; Potsdam, Germany; Paderborn, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Wiesbaden, Germany; Warendorf, Germany; Wuppertal, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Environmental protection equipment research and development expert to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Job Description 1. Assist in reviewing the overall design of vehicle products. 2. Responsible for communicating with customers about solution requirements, understanding market needs, and providing feedback on designs. 3. Assisted to control the overall technical standards, technical documents and quality control outline of vehicle products, and to study the adaptability of products to relevant regulations, and put forward relevant countermeasures; 4. Assist in guiding the development of new models and new parts, and the formulation of standard models. 5. Candidates are required to have experience in leading complete project development, somewhat similar to the role of a R&D project manager. vehicles integrate machinery, electronics, software, and artificial intelligence. The main responsibilities of this position include initial market research, product definition, control of details during product development, as well as feedback and improvement of product applications in the market. Welfare & Benefits Competitive salary structure, Outstanding talents may be appropriately relaxed; Wages and benefits, labor contracts and social security, employment forms, working hours system and safety and health regulations, with reference to the local staff welfare policy. Work Environment Detailed address: Germany (Can communicate about local remote work and regular business trip arrangements); management domain: Expert type, mainly engaged in technical guidance and R&D guidance, can communicate with the heads of various modules of the research institute to assist and cooperate in the work; Report to: President of  al Protection Equipment Research Institute; Core product Pure electric low entry washing car; Pure electric compression garbage truck; Asphalt mixing plant; Electric excavator. Application scenarios Suitable for long-distance and high cleanliness washing and sweeping operations on urban main roads, urban squares and other roads and sidewalks; It is mainly used for the mobile or centralized collection of domestic garbage in residential communities, urban streets, hotels, institutions, colleges and universities, rural roads and other areas; Suitable for highway, municipal, bridge and other long-term maintenance projects, as well as road construction, airport construction; Suitable for mining and other harsh working conditions. Technological superiority Chassis integration design: adopts self-developed pure electric chassis for    , realizing the integrated design of vehicle layout, control system, cooling system, etc., with excellent performance; Intelligent control experience: equipped with integrated monitoring, upper mounting control and other functions of the central control screen, easy to operate; The whole series is independently developed: It is the only provider of complete filling equipment independently developed, produced and owned by , with independent intellectual property rights in China; The filling pump technology is advanced: it has the pumping technology of large displacement, the new filling pump displacement up to m³/h, the pumping pressure up to MPa, the maximum transportation distance more than 8 kilometers; Intelligent and dedicated to mixing stations: The main engine adopts a double horizontal shaft forced mixing engine, which ensures thorough and uniform mixing, low residue, no engine stalling, and eliminates the risk of pipe blockage during filling; High efficiency stirring technology: using double circulation boiling high efficiency stirring technology; Ultra-precise weighing technology: Aggregates are measured using a 'gate-controlled' discharge system combined with 'pulse jitter' and 'multi-speed adjustment' mechanisms; Highly integrated modular: the metering layer is integrated with the mixer, the asphalt tank is integrated with the thermal oil furnace and the discharge tank, etc. Job requirements 1. Candidates should be senior professionals in the industry, with more than 10 years of working experience in the industry. 2. Retired experts can be hired as consultants. 3. Candidates with mechanical, hydraulic, electrical or overall product planning background are welcome, but must have experience in completing the whole product development process, target R&D expert in the industry.