Industrial Engineer Jobs in Netherlands.
All active Industrial Engineer roles based in Netherlands.
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Electrical Engineer - Data Centers
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for candidates to strengthen its datacenter facilities engineering team. You will work,
individually and in collaboration, with internal business partners (technical teams, especially technical
project managers and different vendors), to deliver planning and design, and to oversee the
construction and implementation of the electrical engineering aspects of our data centers.
This role requires a flexible, pro-active mindset with attention for details and good communication
skills, and a willingness to travel.
You’re welcome to work in our office in Amsterdam, hybrid or remotely.
Your responsibilities will include:
- Plan, validate and verify the roll out of reliant electrical systems
- Work with our internal and external business partners
- Create designs which meet and exceed Nebius’s quality benchmarks on time and within budget
- Seek new designs and amalgamate new technologies within Nebius AI’s data center planning and infrastructure
We expect you to have:
- Bachelor’s degree in electrical engineering, or equivalent experience
- 5+ years of experience in creating electrical design documentation for construction
- 5+ years of experience in commercial and/or industrial electrical design
- In-depth understanding of electrical equipment such as: power distribution, busway systems, electrical switchgear, UPS, and diesel generators
- Basic understanding of mechanical equipment and systems related to data centers
- Good communication skills, fluent in English
- A flexible, pro-active mindset with attention for details
It will be an added bonus if you have:
- Experience with designing, operating, or maintaining mission critical facilities
- Experience with the application of regional and international standards
- CDCDP, Uptime, or other similar certificates
- Knowledge of and experience with the roll-out of DC (direct current) power distribution systems
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Mechanical Engineer - Data Centers
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for candidates to strengthen its datacenter facilities engineering team. You will work, individually and in collaboration, with internal business partners (Technical Project managers, Data Center IT, IT Procurement, Network Engineering) and with external vendors to validate and test installation & operation performance of data center mechanical systems.
This role requires a flexible, pro-active mindset with attention for details and good communication skills, and a willingness to travel.
You’re welcome to work in our office in Amsterdam, hybrid or remotely.
Your responsibilities will include:
- Plan and implement cost-effective and reliant mechanical designs and distribution systems
- Work with internal business partners like Technical Project Management, Data Center IT, IT Procurement, Network Engineering, and with external vendors to validate and test installation & operation performance of data center mechanical systems
- Create designs which meet and exceed Nebius’s quality benchmarks within our budget capacity
- Seek new designs and amalgamate new technologies within Nebius AI’s data center planning and infrastructure
- Identify and document list of electrical equipment and components required during the build/installation phase
- Work on multiple projects in different locations, and visit the construction sites to oversee the work of external vendors and contractors
We expect you to have:
- Minimum Bachelor’s degree in building services engineering or mechanical engineering, or 10+ years of relevant mechanical engineering experience in mission critical facilities environment including but not limited to: data centers, power generation and oil/gas facilities
- 7+ years of experience in creating mechanical design documentation for construction
- 7+ years of experience in commercial and/or Industrial Mechanical design
- In-depth knowledge of data centre design, BMS & HVAC design and related product development
- In-depth knowledge and understanding of data centre mechanical systems, chillers air-cooled & water-cooled, pumps, cooling towers, heat exchangers, CRAHs/CRAC, fans, air economizers, water treatment etc.
- Good understanding of electrical equipment and system designs related to data centers
- Good data analysis skills
- Excellent communication skills, attention to detail and ability to maintain high quality standards
It will be an added bonus if you have:
Required qualification + one or two certifications like:
- CDCE (Certified Data Centre Expert or Equivalent Highest Certification)
- CDCS (Certified Data Centre Specialist or Equivalent Intermediate Certification)
- CDCP (Certified Data Centre Professional or Equivalent Basic Certification)
- CDCDP (Certified Data Centre Design Professional or Equivalent)
- DCIE (Data Centre Infrastructure Expert or Equivalent)
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About the Company
About the Role
The AI Factory Customer Engineer plays a pivotal role in bridging the gap between customers and Armada's Product and Engineering teams. This role requires deep technical credibility, hands-on infrastructure experience, and strong interpersonal skills to translate complex AI infrastructure and data center architectures into clear, practical solutions for customers.
This role goes beyond traditional pre-sales. The Customer Engineer acts as the technical interface between customers and Armada Engineering, ensuring customer requirements, constraints, and feedback are accurately represented and incorporated into solution design and future platform evolution.
Armada's AI Factory serves a broad and growing set of customers across enterprise, industrial, and infrastructure-heavy verticals. A meaningful and growing subset of strategic targets includes AI-focused datacenter co-location providers and Neocloud operators which represent a primary segment where Armada's modular, liquid-cooled AI Factory is a compelling fit for capacity expansion and rapid deployment. Additionally, renewable energy operators who own or control significant land, power, and stranded energy assets are increasingly positioned to host or operate AI compute infrastructure at scale.
The ideal candidate brings an engineering-first mindset, strong data center and infrastructure expertise, particularly around liquid-cooling, modular data centers, Nvidia architecture, and the energy, curiosity, and positivity required to operate in fast-moving, ambiguous environments. This role is instrumental in driving adoption, trust, and long-term success for Armada's AI Factory offerings.
What You'll Do — Key Responsibilities
Core Technical Customer Engagement
- Act as the primary technical interface between customers and Armada's Product and Engineering teams, translating real-world requirements into actionable technical inputs.
- Provide expert technical guidance on Armada's AI Factory products, including Modular Data Centers (MDCs), liquid-cooled data center designs, and GPU-based systems from partners such as NVIDIA.
- Understand customer workloads deeply both current and future and advise on rack-level design, system architecture, and deployment tradeoffs.
- Lead technical demonstrations, proof-of-concepts, and workshops, tailoring content to customer constraints and operational realities.
- Cultivate trusted-advisor relationships with customer engineering, infrastructure, IT, OT, and security stakeholders.
- Enable field and sales teams by simplifying complex technical concepts into clear, customer-relevant narratives.
- Bring a high-ownership, self-starting mindset with the energy and curiosity to fill gaps, solve problems, and drive outcomes end-to-end.
Renewable Energy & Land-and-Power Operator Engagement
- Engage renewable energy operators, independent power producers, and upstream oil and gas companies (e.g., Chord Energy, Devon Energy, and similar) as a strategic and growing customer segment for Armada's AI Factory — helping them understand how their existing power generation capacity, land assets, and fiber infrastructure make them natural hosts for modular AI compute deployments.
- Articulate the value proposition of Armada's MDC platform to energy sector operators: rapid deployment timelines, self-contained power and cooling architecture, scalable capacity, and the ability to monetize stranded or excess power assets through AI compute hosting.
- Develop familiarity with the operational model of energy companies: power generation economics, land and lease structures, regulatory constraints, and the OT/IT boundary — and translate these into informed AI Factory deployment conversations.
- Navigate both the OT and IT stakeholder landscape within energy companies, building credibility with infrastructure, operations, and executive teams alike.
- Identify and communicate the specific deployment considerations relevant to energy sector environments: remote or off-grid locations, variable power availability, environmental and permitting requirements, and physical security constraints.
AI Datacenter Co-Lo & Neocloud Engagement
- Engage AI-focused datacenter co-location operators and Neocloud providers as a secondary but relevant customer segment, positioning Armada's AI Factory as a solution for rapid capacity expansion, modular overflow deployments, and high-density liquid-cooled compute environments.
- Develop sufficient familiarity with co-lo and Neocloud operational models — GPU cluster economics, high-density power and cooling requirements, multi-tenant compute, and deployment velocity expectations — to hold credible technical conversations and scope solutions appropriately.
- Collaborate with Sales to identify where AI Factory's modular, rapidly deployable infrastructure is most differentiated against co-lo and Neocloud alternatives, and tailor technical positioning accordingly.
Cross-Functional Collaboration & Field Strategy
- Collaborate cross-functionally with Sales, Product, and Engineering to support customer engagements, technical scoping, and solution design across all target verticals.
- Stay current on industry trends related to AI infrastructure, energy sector AI adoption, data center design, liquid cooling, and modular systems — and share insights internally to shape future product strategy.
- Bring positive energy, curiosity, and a collaborative mindset to every engagement — this role values technical excellence and having fun while building something meaningful.
Required Qualifications
- Bachelor's degree in Engineering, Computer Science, or a related field (or equivalent hands-on engineering experience). Advanced engineering degrees are a plus.
- 5+ years of relevant experience in data center engineering, infrastructure engineering, pre-sales, sales engineering, or solution architecture roles.
- Years of experience are less important than depth and relevance to data center and infrastructure topics.
- Strong understanding of compute, networking, and storage fundamentals, including AI and GPU-based systems (e.g., NVIDIA DGX, HGX, MGX, or similar).
- Hands-on experience with data center systems, including:
- Mechanical, electrical, and plumbing systems
- Cooling architectures, with direct experience or strong familiarity with liquid-cooled data centers and/or modular data centers (MDCs)
- Racking and rack-level design considerations
- Engineering mindset with curiosity about what lives inside the rack, including openness to evolving beyond current reference designs (e.g., B300 / GB300) as architectures evolve.
- Familiarity with cloud platforms, containerization, virtualization, and modern enterprise infrastructure.
- Ability to navigate and build credibility with both OT and IT stakeholders — particularly relevant when engaging energy, industrial, and infrastructure-heavy customers.
- Strong troubleshooting skills and comfort operating in complex, live customer environments.
- Excellent communication skills, with the ability to engage both highly technical engineers and non-technical stakeholders.
- Willingness to travel as required.
Demonstrable Expertise — Technical Focus Areas
Primary Focus: Modular & Liquid-Cooled Data Center Architecture
- Expertise in modular or micro data center design and deployment.
- Experience integrating compute, storage, and networking in space-, power-, and thermally-constrained environments.
- Knowledge of liquid cooling architectures, rack-level thermal management, and power density considerations.
- Ability to translate customer workload requirements into scalable, production-ready infrastructure designs.
Secondary Exposure (Nice to Have): Energy Sector & Industrial Infrastructure
- Familiarity with power generation, distribution, and energy economics — particularly relevant to operators considering AI compute hosting on owned or leased power assets.
- Understanding of remote or off-grid infrastructure deployment: power availability constraints, site connectivity, environmental permitting, and physical security considerations.
- Awareness of the OT/IT landscape in energy and industrial environments, including SCADA systems, operational reliability requirements, and safety-driven design constraints.
- Background in or exposure to oil and gas, upstream energy, independent power production, or renewable energy operations.
Secondary Exposure (Nice to Have): AI & Edge AI Infrastructure
- High-level understanding of AI workloads and GPU clusters.
- Familiarity with AI frameworks and real-world deployment tradeoffs.
- Awareness of edge and distributed AI architectures.
Secondary Exposure (Nice to Have): Data Center Systems
- Advanced exposure to electrical systems (PDUs, UPS, subsystems).
- Experience with water-based cooling systems, controls, and monitoring.
- Understanding of operational reliability, redundancy, and resilience.
Preferred Qualifications
- Experience supporting customers in regulated or mission-critical environments, including energy, utilities, oil and gas, or industrial infrastructure.
- Background in or direct exposure to renewable energy operators, independent power producers, or upstream oil and gas companies as a vendor, partner, or customer.
- Familiarity with how energy and land-and-power operators evaluate infrastructure hosting and co-location decisions, including site selection, power contracting, and capital deployment timelines.
- Background in Data Centers, MSPs, Telcos, Utilities, or industrial infrastructure.
- Experience working with physical infrastructure products, including logistics and deployment constraints.
- Some familiarity with AI datacenter co-location or Neocloud operating models, GPU cluster economics, or high-density compute environments.
- Familiarity with structured sales methodologies (MEDDPICC, Challenger, Command of the Message).
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
Test and Automation Engineer (Hardware)
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We’re looking for a Test and Automation Engineer to join our hardware R&D team building long-range HF communication systems. You’ll build and scale the systems that validate and operate our hardware across both development and production, working across test automation, lab infrastructure, and hardware coordination. In this role, you’ll own how hardware is exercised end-to-end, ensuring reliable and repeatable performance in demanding environments.
What you'll do
As a Test and Automation Engineer, your key responsibilities include:
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Designing, developing, and maintaining automated test frameworks for hardware validation and production testing
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Building and maintaining automation for hardware coordination and state control; managing transitions between operational states and integrating with monitoring systems, safety interlocks, and protection mechanisms
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Developing Python-based tooling and test suites to exercise hardware interfaces, including Ethernet, SPI/I2C/Serial, Modbus, SCPI, and custom protocols
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Implementing and maintaining communication with industrial peripherals and test equipment
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Automating lab instrumentation, including oscilloscopes, spectrum analyzers, VNAs, and cable/component testers
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Creating and managing CI/CD pipelines that integrate hardware test results into the broader build and release workflow
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Instrumenting and monitoring test and production infrastructure by collecting metrics, generating reports, and tracking hardware test coverage over time
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Collaborating closely with hardware, RF, and infrastructure engineers to improve system reliability, observability, and testability
Who you are
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Experienced in hardware test automation, production/manufacturing automation, or embedded systems validation
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Strong in Python, with a focus on building clean, maintainable, and scalable automation frameworks
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Hands-on experience communicating with and coordinating industrial devices and peripherals
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Familiar with Ethernet-based systems and protocols (TCP/UDP sockets, network configuration, packet capture/analysis)
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Experienced in automating lab instruments using SCPI, VISA, or vendor-specific APIs
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Comfortable working in Linux environments, including command-line tooling, shell scripting, and service management
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Able to take ownership of systems end-to-end and operate effectively in a highly collaborative, fast-paced environment
Nice to Have
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Experience with RF systems, SDR, or HF communication systems
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Familiarity with Protocol Buffers or similar serialization frameworks
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Experience with CI/CD systems such as Jenkins or Bamboo for hardware-integrated pipelines
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Understanding of network infrastructure concepts such as VLANs, DHCP, PXE/TFTP boot, and SSH tunneling
Who we are
At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.
What you'll get
You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.
In addition, you’ll receive:
- A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.
- The opportunity to work alongside best-in-class professionals from over 50 different countries.
- 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
- Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
- Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
- Training and continuous learning opportunities, including access to conferences and tech events.
- Competitive relocation packages and visa sponsorship where necessary for expats.
How to apply
Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.
Please note:
- We do not require any assistance from third-parties including agencies in the recruitment of this role
- We cannot accept applications via email
Diversity statement
Optiver is committed to diversity and inclusion.
Ready to apply?
Apply to Optiver
Enterprise / Principal Field Engineer
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
The Enterprise Field Engineering team leads the technical relationship as a customer scales beyond initial implementations and deployments into broader expansion and full enterprise-wide adoption. Enterprise Field Engineers help to validate technology fit, architect and demonstrate new use cases and support deployment and operationalization as adoption expands. They are also essential in enabling our partner ecosystem, ensuring solution integrity, and elevating the Cognite experience through feedback loops to Product and Customer Enablement.
The Enterprise Field Engineering team works in close partnership with the Account Management team to grow and expand customers to enterprise scale and beyond.The Impact you bring to Cognite
Client Engagement and Solution Development
- You act as a technical liaison to key clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps to secure their willingness and confidence to scale and expand their use of Cognite Data Fusion®.
- Your close collaboration with Account Managers and Sales teams results in identified and prioritized client opportunities that drive mutual business value.
Client Education and Technical Representation
- You educate clients on Cognite Data Fusion® and related offerings, leading to successful adoption, solution integration, and value realization.
- You develop client-focused demos, reference architectures, and solution accelerators utilized by Cognite teams and customers.
- You represent Cognite in client meetings, workshops, and technical briefings to leverage your technical expertise to build client confidence.
Internal Collaboration and Product Alignment
- You act as a bridge between clients and Cognite’s Product organization, translating client feedback and needs into clear, actionable product requirements.
- You ensure client-integrated solutions are technically feasible, scalable, and aligned with Cognite’s broader product strategy.
- You provide continuous technical feedback and market insights from client interactions to inform product development and enhance competitive positioning.
Sales and Field Engineering Enablement
- You partner with field engineering and sales teams to provide technical support on client opportunities, including technical account strategy, solution architecture, and use-case development.
- You serve as a technical escalation point for complex client engagements, offering guidance and assistance to the broader sales organization.
- You organize and manage client workshops and technical meetings, ensuring high-quality execution and alignment with client objectives.
Technical Leadership and Best Practices
- You develop and promote best practices, frameworks, and reference architectures to strengthen Cognite’s position as a leader in client-focused industrial solutions.
- You mentor other Field Engineers, sharing technical expertise and best practices related to client engagement and solution development.
- You share insights and learnings from client interactions to enhance team effectiveness and responsiveness to market demands.
Required qualifications
- Extensive experience (5+ years) in solution architecture, field engineering, or technical presales/postsales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.
- Hands-on in Python, as well as good hands-on expertise with software development best practices.
- Strong client-facing skills, with experience building trusted relationships with technology partners, enterprise clients, and internal stakeholders to co-create solutions and drive joint opportunities.
- Expertise in industrial data, OT/IT convergence, and data integration patterns, with the ability to design scalable architectures that connect operational and enterprise systems.
- Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance — particularly in cloud and hybrid environments.
Preferred qualifications
- Education or practical experience relevant to our key industry focus areas. (E.g. petroleum engineering, chemical engineering, mechanical engineering, control system engineering, process engineering, etc.)
- Knowledge of services and architectures provided by hyper scalers such as Azure, AWS and GCP.
- Demonstrated ability to lead technical validations and solution accelerators that showcase the value of complex integrated solutions to partners and customers.
- Experience working closely with product and engineering teams, providing field feedback to shape product development and align solutions with customer and partner needs.
- Strong communication, presentation, and influencing skills, with the ability to translate complex technical concepts into business value for diverse audiences including executives, partners, and technical teams.
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry