Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.
Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.
Why join us?
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”
As an IT Systems Engineer, you will
- Manage and monitor all installed systems and infrastructure for the organization to be in line with company guidelines and SOP (standard operating procedure)
- Install, configure, and test operating systems, application software, and system management tools
- Ensure the highest level of systems and infrastructure availability.
- Implements warranty and support activities
- Plan and implement system automation as required for better efficiency
- Design, review, document and implement policies and procedures to maintain standardization of day-to-day IT functions
- Support the employees on daily office IT operations when needed.
- General software management and creation of users
- Implement security best practices, including patching, access control and policies, endpoint protection, etc.
- Monitor and maintain office network infrastructure, including switches, routers, and wireless access points.
- Troubleshoot connectivity issues and ensure secure and reliable access to internal resources via VPN
Required Qualifications
- Bachelor's degree in computer science or related field.
- 2+ years of experience working with IT systems, networks, monitoring tools and related technologies (macOS, Linux, Microsoft 365, hardware experience)
- Experience in endpoint devices management and incident management
- Vendor management experience
- Knowledge of best practices in IT administration and system security
- Exceptional organizational and time management skills
- Strong analytical and problem-solving skills
- Good interpersonal and communication skills
- Fluency in English and Spanish
Preferred Qualifications
- Experience with technical support for Slack
- Experience working with Apple devices
- Experience with JAMF
- Experience with Fortinet
- Experience with scripting languages
• • Knowledge of AWS
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The scaling of advanced computing enterprises depends heavily on the stabilization of their operational and infrastructure layers. The role of an IT Systems Engineer within the deep-tech sector represents a critical enablement function, ensuring that the development environments for quantum software and artificial intelligence remain secure, compliant, and highly available. As organizations transition from early-stage research to global enterprise deployment, the underlying infrastructure must scale deterministically to mitigate the systemic risks of data breaches and operational downtime. Market signals indicate that the availability of secure infrastructure engineering is a primary driver for maintaining research velocity in high-growth deep-tech environments. By establishing standardized operational boundaries, this function provides the structural foundation required to protect proprietary algorithmic assets and ensure cross-functional delivery.
Within the broader deep-tech value chain, infrastructure enablement serves as the operational anchor that allows software developers and research scientists to operate without systemic friction. The current sector-wide focus lies on bridging classical and quantum capabilities at scale, which demands a highly dependable computing environment that supports hybrid workflows. As organizations expand their global footprint, the complexity of managing multi-platform endpoints, cloud dependencies, and hybrid local architectures increases exponentially, creating critical integration bottlenecks.
Workforce and infrastructure development remain priority areas across the value chain, particularly as deep-tech firms face tightening international regulatory frameworks. Data sovereignty, compliance with global cybersecurity standards, and the secure integration of public cloud resources with on-premises hardware represent high-stakes challenges for growing technology leaders. Without robust systems engineering, the expansion of deep-tech capabilities faces severe operational vulnerabilities that can disrupt capital efficiency and slow the progression of Technology Readiness Levels (TRLs).
Consequently, the optimization of enterprise IT functions within this sector acts as a primary risk-mitigation mechanism. By standardizing internal networks, access control matrices, and endpoint environments, systems engineering prevents the fragmentation of internal tools and ensures that computational resources remain accessible and resilient. This structural stability is essential for deep-tech entities like Multiverse Computing to execute complex technical roadmaps and deliver scalable software solutions to global industrial clients.
The capability architecture for this role type centers on the synchronization of multi-platform endpoint ecosystems with secure cloud and network orchestration protocols. Competence across diverse operating systems and central identity frameworks is mandatory for ensuring that research environments conform to modern zero-trust security postures. This framework requires an advanced understanding of mobile device management protocols, directory synchronization, and network edge protection mechanisms.
These integrated capabilities are vital to the overall throughput of deep-tech organizations because they directly minimize the operational friction experienced by engineering teams. Implementing robust version-patching cadences and automated system deployments establishes a reliable perimeter against intellectual property exposure and external cyber threats. Furthermore, the alignment of internal local area networks with hybrid public cloud infrastructures ensures reliable throughput for data-heavy computational workloads. By maintaining standardized service deployment workflows, this capability domain minimizes configuration drift and enhances system state auditability across the organization. - Stabilizes the operational runtime environment for teams developing advanced quantum software and AI solutions
- Mitigates the risk of intellectual property exposure through the systemic enforcement of endpoint security postures
- Facilitates uninterrupted research workflows by maintaining high availability across hybrid infrastructure layers
- Modernizes internal communication pathways through the structural optimization of collaboration platforms
- Standardizes day-to-day computing environments to ensure predictable performance across cross-functional engineering teams
- Reduces configuration vulnerabilities by implementing automated patch management and access control matrices
- Optimizes cloud resource allocation through the structured governance of hybrid cloud service providers
- Secures global operational scaling by deploying robust virtualization and remote connectivity infrastructure
- Enhances organizational resilience against data breaches by executing strict network segmentation strategies
- Minimizes recovery time objectives during technical incidents through standardized monitoring and escalation protocols
- Protects capital hardware assets by implementing rigorous lifecycle management and vendor compliance strategies
- Directs the deterministic alignment of IT services with evolving international data sovereignty regulationsIndustry Tags: Deep Tech Infrastructure, Systems Engineering, Multi-Platform Administration, Enterprise Network Automation, Cloud Orchestration, Endpoint Security, Information Security Governance, Hybrid Workspace Enablement
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