
CERN · Sverige
For full job description and application process please visit https://careers.cern/jobs/technical-engineer-for-water-treatment-systems/ The Engineering Departm...
For full job description and application process please visit https://careers.cern/jobs/technical-engineer-for-water-treatment-systems/
The Engineering Department (EN) pushes forward the limits of technology so that physicists can carry out their research. Within the EN department, the Cooling and Ventilation (EN-CV) group is responsible for the design, the construction, the operation and the maintenance of the cooling and ventilation plants for large energy physics accelerators, experiments and technical facilities. The EN-CV group pursues sustainable cooling and ventilation systems enhancing energy savings and recovery.
You will join the Methods, Store and Electrical Section (CES), which oversees the operation and maintenance of water treatment systems, as well as the development of maintenance procedures, implementation of computerised maintenance management (CMMS), documentation management, spare parts store management and electrical works.
Are you a qualified and proactive and specialised in industrial water treatment systems, ready to contribute to a unique working environment at the heart of one of the world's most complex scientific installations?
In this role, you will contribute to the analysis, optimisation and development of water treatment systems used for cooling and ventilation installations. You will ensure system performance, reliability and compliance with environmental and safety requirements, while supporting operation and maintenance activities.
Purpose The Process Engineer is responsible for ensuring the consistent production of high-quality Blue Polymers products through the effective implementation of Process Control Plans, Standard Operating Conditions (SOCs), and standardized manufacturing practices. This role drives continuous improvement initiatives focused on safety, quality, productivity, yield optimization, and equipment reliability. Working closely with Operations, Maintenance, Quality, and Commercial teams, the Process Engineer utilizes data analysis, root cause investigation, and hands-on equipment and process troubleshooting to improve manufacturing performance, reduce waste, and enhance product consistency. Success in this role is measured by improvements in quality metrics, production efficiency, process capability, customer satisfaction, and overall operational excellence. Areas of Responsibility / Tasks Performance must reflect appropriate level of expertise and achievement of the desired results for the items listed below: 1. Safety * Promote and transfer best process, equipment, and operational practices across all production lines. * Partner with the Safety Team and/or designated representative as necessary, to evaluate and update PPE requirements and safe work practices. * Implement and monitor environmental controls to prevent pollution, contamination, and regulatory non-compliance. * Identify and mitigate equipment, process, and operational hazards through proactive troubleshooting and corrective actions. * Ensure all machine adjustments, repairs, and troubleshooting activities are performed in accordance with established safety procedures, including lockout/tagout requirements. 2. Quality & Product Development * Ensure customers consistently receive products that meet all formulation, quality, and performance requirements by adhering to Product and Process Control Plans. * Coordinate with Blue Polymers Commercial Team to ensure customer specifications, expectations, and product requirements are consistently achieved. * Partner with the Technology Team and Procurement organization to promote standardization and optimization of raw materials whenever feasible. * Utilize process data, quality metrics, and the Voice of the Customer (internal and external) to identify improvement opportunities, implement corrective actions, and measure effectiveness. * Investigate product quality concerns, process deviations, and customer complaints using root cause analysis methodologies and implement sustainable corrective actions. * Troubleshoot process and equipment issues impacting product quality, consistency, scrap rates, yield, and customer satisfaction. * Work directly on production equipment to adjust machine settings, optimize operating parameters, and resolve manufacturing issues that affect quality and productivity. * Support product trials, process validations, and continuous improvement initiatives designed to improve quality, reduce waste, and increase process capability. 3. Process Engineering * Troubleshoot production equipment and manufacturing processes to identify and resolve issues impacting safety, quality, productivity, uptime, and yield. * Work directly with production and maintenance teams to diagnose mechanical, electrical, hydraulic, pneumatic, and process-related problems and implement corrective actions. * Perform hands-on adjustments, set-ups, calibrations, and minor repairs to processing equipment as necessary to restore optimal operating conditions and minimize downtime. * Analyze equipment failures and process deviations, conduct root cause analyses, and develop sustainable corrective and preventive actions. * Lead continuous improvement initiatives focused on improving equipment reliability, process capability, throughput, and overall equipment effectiveness (OEE). 4. Operations * Provide hands-on support on the production floor, including operating equipment, adjusting machine settings, clearing jams, replacing wear components, and assisting with troubleshooting activities when necessary. * Respond to production interruptions and equipment malfunctions in a timely manner to minimize downtime and maintain production schedules. * Collaborate with Maintenance to identify recurring equipment issues and implement permanent corrective actions that improve machine reliability and production performance. * Train operators on proper machine operation, troubleshooting techniques, process controls, and Standard Operating Conditions (SOCs) to ensure consistent and repeatable results. * Utilize Management by Walking Around (MBWA) to identify opportunities for process optimization, equipment improvements, and operational efficiencies. * Other duties as assigned by the Plant Manager. Additional Physical/Functional Requirement Technical & Mechanical Aptitude * Demonstrated ability to work safely around manufacturing equipment and production machinery. * Ability to diagnose and resolve equipment and process issues through hands-on troubleshooting. * Capable of performing minor mechanical repairs, equipment adjustments, changeovers, and process modifications. * Ability to use hand tools, measuring devices, and diagnostic equipment required to support manufacturing operations. * Willingness to spend a significant portion of time on the production floor supporting operations and continuous improvement initiatives. Minimum Qualifications/ Education / Experience / Certifications 1. Education: 1. Bachelor’s Degree in technical field is preferred. 2. Experience: 1. Demonstrated ability to lead and support operations in a hands-on manufacturing environment, with a strong presence on the production floor and a commitment to employee engagement and process improvement. 2. Proven leadership capabilities with the ability to motivate teams, drive accountability, and achieve operational objectives. 3. Strong interpersonal, employee relations, and people management skills, with the ability to effectively resolve issues, influence stakeholders, and foster a collaborative work environment. 4. Excellent written and verbal communication skills, including the ability to communicate effectively with employees at all organizational levels. 5. Highly detail-oriented with strong analytical and systems-thinking capabilities. Demonstrated ability to prioritize competing demands, manage multiple projects simultaneously, and maintain a disciplined, results-focused approach. 6. Proficient in Microsoft Office Suite, including Excel, PowerPoint, and Word, as well as Enterprise Resource Planning (ERP) systems. 7. Experience utilizing 2D and 3D Computer-Aided Design (CAD) software for equipment, machinery, and facility design, layout, and modification. 8. Ability to read, interpret, and troubleshoot electrical and machinery wiring diagrams, schematics, and technical drawings. 9. Experience utilizing Computerized Maintenance Management Systems (CMMS) to administer preventive maintenance programs, manage work orders, maintain equipment records, and support asset reliability initiatives. 10. Working knowledge of physical and chemical water treatment processes, including system monitoring, testing, troubleshooting, regulatory compliance, and continuous improvement of water quality and treatment performance. Competencies; Knowledge, Skills, Abilities (KSA) To perform this role successfully, an individual must have experience achieving desired result(s) in their areas of responsibility. The requirements listed below are representative of observable behaviors and essential knowledge, skill, and abilities required of a successful incumbent within our culture. 1. Must be comfortable working in a shared space, with constant noise, with/or without the use of a private office. 2. Must be comfortable working in a non-climate controlled environment. 3. Schedules may vary from week to week based on business demands in excess of 40 hours with or without notice. 4. All injuries regardless of severity must be reported to your Supervisor/HR immediately. Work Environment / Conditions The work environment/conditions described herein are representative of those that an incumbent may experience, and therefore must be adaptable to work in a shared space, with constant noise, with/or without the use of a private office. Schedules may vary from week to week based on business demands in excess of 40 hours with or without notice. Physical Requirements / Demands The physical demands described herein are representative of those that must be met by an incumbent to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions & physical demands of this role. 1. Must be able to lift 55lbs. 2. Must have color vision. 3. Have use of fingers and hands for writing and typing. 4. Ability to climb straight incline ladders. 5. Occasionally reach with hands and arms, stoop, kneel, crouch or crawl. Travel 1. Some overnight travel away from home plant location may be required. 2. Weekend and holiday travel generally will not be required.
PERSONS IN THESE ROLES ARE EXPECTED TO WORK FROM OUR OFFICES IN SEATTLE. ON-SITE REQUIREMENTS VARY BASED ON POSITION AND TEAM. IF YOU HAVE QUESTIONS ABOUT ON-SITE WORK ARRANGEMENTS FOR THIS ROLE, PLEASE ASK YOUR RECRUITER. OUR BASE SALARY RANGE IS $126,000 - $189,000 AND IN ADDITION WE HAVE GENEROUS BONUS PLANS TO PROVIDE A COMPETITIVE COMPENSATION PACKAGE. WHO WE ARE: We are a small engineering team at the Allen Institute for AI working on AI for the Planet. We're working on maritime conservation, food security, disaster resilience, and climate solutions with some of the most impactful organizations on the planet. We work very closely alongside a ML research team and our Product & Partnerships teams, focused on building products that support our environmental and high-impact users. Today, our team works on two products: Skylight uses AI to detect illegal, unreported, and unregulated fishing in real time. Governments, enforcement agencies, and conservation organizations in 95+ countries use it to protect their waters. Our advanced AI-powered platform delivers real-time vessel detections and actionable insights that empower enforcement agencies globally to protect marine ecosystems. Read more at https://allenai.org/skylight [https://allenai.org/skylight]. OlmoEarth is an open, end-to-end platform built around our family of foundation models for Earth observation. The OlmoEarth Platform enables our users to create custom fine-tuned models to detect and classify novel geospatial features. The platform handles the full loop: imagery acquisition from Sentinel-1, Sentinel-2, and Landsat; annotation; distributed training and inference; and a viewer so the outputs are usable by people who aren't ML experts. Partners today include NASA JPL (wildfire risk), IFPRI (crop mapping in Kenya), Global Mangrove Watch, and the Amazon Conservation Alliance. Read more at https://allenai.org/olmoearth [https://allenai.org/olmoearth]. If you're the kind of engineer who gets energized by building technology that helps protect oceans, forests, and the climate, who wants to move fast, work across disciplines, and see your code have real-world impact, this is for you. WHAT WE BELIEVE: The mission is the point. We're building AI for the planet: environmental conservation, food security, climate. If it’s important to you to work on problems with a positive impact on our planet and the world, you’re in the right place. The engineer closest to the user makes the best decisions. We put weight on talking to users, sitting with partnerships, and working side by side with researchers. You can't ship the right thing if you don't understand who you're shipping it for. This engineering team travels regularly to meet with users. Iterate small. Our users are tackling huge problems: illegal fishing, food security, climate resilience. They need tools that genuinely help. We believe the fastest way to build those tools is to design and build alongside them as partners: ship something functional, learn from how they use it, and iterate from there. Keeping users in the loop is how we build a better product, faster. We ship high-quality code quickly, and we learn fast from mistakes. We hold a high bar for what we put into production, but we also move with urgency. When something breaks, we focus on understanding the system, not blaming individuals. Failures are signals that help us strengthen the layers that protect our users. In-person matters. A lot of the best work on this team happens in unscheduled hallway conversations between engineering, research, and partnerships. We're in the office most days because that's where the team is at its best. We hire for curiosity. The technologies we use will change over the years, and the engineers who do well here are the ones who enjoy learning new things, not the ones who've memorized a particular toolkit. Ideas get better when they're challenged. We make decisions by talking them through - asking questions, pushing back when something doesn't quite add up, and being open to changing our minds. Everyone here is still learning, and we like it that way. WHO YOU ARE: We're looking for a strong builder. Someone with deep experience shipping high-quality, scalable, full-stack products that integrate state-of-the-art ML models. Someone who wants to grow alongside a team working at the forefront of applied AI, on a product that exists to do good in the world. A great candidate is someone who thoughtfully reflects on our internal processes and is comfortable pushing for change. Required Qualifications: * 5+ years of professional software engineering experience in industry. Internships, graduate school, and research positions are valuable but do not count toward this. * Experience working as a generalist software engineer across multiple parts of the stack and product lifecycle. Strong foundations in web applications, data pipelines, distributed systems, and modern cloud tooling. The specific frameworks matter less than demonstrated ability to pick up new technologies as the field evolves. * You're using modern AI tooling (e.g. Claude Code, agentic workflows) to move faster and rethink how engineering gets done. * A track record of taking software products end to end. Shaping requirements, designing architecture, shipping to external users, and continuing to develop them over time based on user feedback. * Ownership overproduction systems. Including taking on-call rotations, troubleshooting production issues, and digging into logs, metrics, and code to develop real, actionable insight when something needs attention. * You write clear technical plans, give and receive feedback well, constantly prioritize, and can guide stakeholders through the details. PREFERRED QUALIFICATIONS: * Experience at small or growth-stage companies, where you own outcomes end to end without heavy process scaffolding. * Hands-on experience integrating machine learning models into production systems: deployment, monitoring, scaling real-time inference, and iteration. You collaborated directly with researchers to bring models out of a research context, and you built user-facing applications where AI outputs need to be communicated clearly to non-technical users. * You're opinionated about software engineering practice: coding patterns, breaking down work, code review, testing, build systems. You bring that judgment to the team while staying open to other perspectives. * A demonstrated track record of technical depth and self-directed learning - for example: open-source contributions, technical writing, conference talks, sustained side projects. * Open to occasional international travel to meet directly with the people using what we build. PROJECTS WE’RE EXCITED ABOUT: To give you a better idea of the kinds of projects we work on, here are some examples of our current and past projects: * Automated model development: We're building the OlmoEarth Platform [https://allenai.org/olmoearth] to enable users to go from raw tabular data to a fine-tuned, evaluated, production-ready computer vision model, without needing an ML engineer. The underlying infrastructure allows us to run jobs across thousands of parallel GPUs and terabytes of satellite imagery - covering continent-sized areas for fractions of a penny per square kilometer. We're also pushing into agentic approaches: agents that help with dataset discovery, preparation, and augmentation, and agents that explore model configurations and architectures to find the right setup for a given use case. * Deploy multi-tenant agents: We are building a multi-tenant agent-orchestration platform to power Skylight's next generation of AI products - starting with Shippy, our maritime-domain-awareness agent. Every end user gets their own isolated sandbox: a per-user container stack with persistent GCS-backed state, a conversation history, and a hardened network boundary where the agent runtime can run free, in a secure environment. This platform will allow us to launch agentic-powered products without re-inventing the wheel every time. * Sentinel-2 vessel detections: We use the Sentinel-2 Satellites [https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Sentinel-2] from the European Space Agency to detect locations of vessels globally in near-real-time. Our data-pipelines download imagery as soon as it’s available and run our state-of-the-art computer vision models to detect vessels and make these observations available to our users, typically in under 4 hours from an image being taken. You can read more about this project in our blog post here [https://www.skylight.global/news/sentinel-2-now-available-in-skylight]. PHYSICAL DEMANDS AND WORK ENVIRONMENT: The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. * Must be able to remain in a stationary position for long periods of time. * The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. * The ability to observe details at close range. * Can work under deadlines. A LITTLE MORE ABOUT AI2: Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond. In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are: * We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. * We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. * We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered. * We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave. * We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures. * We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States. * We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights [https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf] compliance poster and the Pay Transparency Nondiscrimination Provision [https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf] by clicking on their corresponding links. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org. [recruiting@allenai.org] Benefits: * Team members and their families are covered by medical, dental, vision, and an employee assistance program. * Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans. * Team members are able to enroll in our company’s 401k plan. * Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses. * Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year. * Team members will be able to receive annual bonuses and can participate in the long-term incentive plan. Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.
LotusWorks is an Engineering Services provider specializing in managing Commissioning, Construction Services, Calibration, Operations & Maintenance scopes of work within global manufacturing facilities. LotusWorks operates globally across EMEA and North America partnering with the world's leading manufacturers across the Semiconductor, Pharmaceutical & Biologics, Medical Device and Data Centre sectors. Our team of Engineering and Technical professionals is immersed in cutting-edge technologies and innovations. LotusWorks is committed to a diverse and inclusive workplace, integral to our people-first approach. LotusWorks is seeking a highly skilled Mechanical Commissioning Engineer to oversee commissioning activities on mission-critical and data center projects. This role is responsible for leading the planning, execution, and delivery of mechanical commissioning, ensuring all systems meet design intent, operational requirements, and client expectations. RESPONSIBILITIES: * Execute mechanical commissioning activities for data center and mission-critical projects. * Ensure systems meet design intent, operational requirements, and client expectations. * Develop commissioning plans, procedures, pre-functional checklists (PFCs), and functional performance tests (FPTs). * Review drawings, specifications, sequences of operation, identify design risks, and validate mechanical QA/QC documentation. * Perform field inspections to verify installation compliance, identify deficiencies, and track corrective actions through completion. * Commission mechanical systems including chillers, cooling towers, AHUs, CRAH/CRAC units, pumps, heat exchangers, expansion tanks, water treatment systems, HVAC controls, BAS integration, ventilation, pressurization, containment systems, and associated mechanical equipment. * Verify equipment startup readiness, witness vendor startups, and validate system performance under normal, maintenance, and failure operating conditions. * Participate in integrated systems testing (IST), validate redundancy (N+1, 2N, 2N+1), verify sensor calibration and control sequences, and support BAS/BMS integration, alarms, safeties, interlocks, and system functionality. * Coordinate commissioning activities with construction, QA/QC, TAB, controls, vendors, and client teams to support project milestones and system turnover. * Maintain commissioning documentation including commissioning logs, deficiency reports, startup records, TAB reviews, progress reports, systems manuals, O&M documentation, and turnover packages. * Support client witness testing, operator training, project closeout, and successful system turnover. * Ensure compliance with LOTO, safety procedures, job hazard analysis (JHA), pre-task planning (PTP), and commissioning best practices while promoting a safe work environment. SKILLS REQUIRED: * 2+ years of mechanical commissioning experience in data center or mission-critical environments. * Strong knowledge of HVAC, chilled water, and critical cooling systems. * Experience executing commissioning activities through all project phases. * Ability to read and interpret construction drawings, specifications, and technical documentation. * Familiarity with BAS/BMS systems, TAB processes, and integrated systems testing. * Strong communication, organizational, and problem-solving skills. * Ability to work collaboratively with cross-functional project teams. EDUCATION / LICENSES / CERTIFICATIONS: * High school diploma or GED required. * Proof of education, licenses, and certifications will be required where applicable. BENEFITS: * Medical, Dental and Vision Insurance * Life, Short-Term, Long-Term Disability Insurance * Training and Education Assistance * 401k Retirement Plan * Extra Annual Leave with Years of Service * Maternity/Paternity Leave * Recognition Rewards #INDHP LotusWorks is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and empowered.