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Multiverse Computing 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 comp…
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Skills: Pre-sales, Cloud Platforms, AI/ML Services, MLOps, Docker
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The role involves bridging the gap between technology and customer needs by crafting scalable AI-powered solutions. Responsibilities include running product demos, writing technical proposals, and interfacing with stakeholders to drive pre-sales success.
Candidates need a degree in Computer Science or Engineering and experience in technical pre-sales or consulting. Proficiency in Python, cloud platforms (AWS/Azure/GCP), MLOps, and LLM infrastructure is required, along with fluency in English and French.
Multiverse Computing
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.”
This opportunity is to work in our offices in Milan, Italy. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI- powered solutions.
Key requirements:
Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)
Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.
Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.
Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.
Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).
Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).
Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).
Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).
Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.
Must be available to travel as needed for meetings, conferences, and project requirements.
Languages: French, English & Italian (native speaker), Spanish (preferred).
Preferred Qualifications:
Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.
Experience with AI model optimization, quantization, or deployment to edge devices.
Hands-on experience designing RAG pipelines and/or multi-agent systems..
Experience designing data architectures (batch & streaming) and working with big data technologies.
Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act.
Perks & Benefits:
Equal pay guaranteed.
Signing bonus.
Relocation package (if applicable).
Eligibility for educational budget according to internal policy.
Hybrid opportunity.
Flexible working hours.
Language classes and discounted lunch options
Working in a high paced environment, working on cutting edge technologies.
Career plan. Opportunity to learn and teach.
Progressive Company. Happy people culture
Location
Applicants must have legal authorization to work in the country where the position is based.
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
Pioneering the Era of Efficient & Sovereign AI. Smaller, Leaner, Smarter AI Models.
Multiverse Computing is an AI model provider leader in AI model compression. Its compressed AI models use techniques derived from quantum computing, enabling the smooth implementation of large AI language models and other systems with more than half the cost and energy consumption without sacrificing performance. With a global presence, its headquarters are located in Donostia-San Sebastián, Spain, with offices in Canada, the United Kingdom, France, Germany, Italy, and the United States. Multinational companies such as Iberdrola, Moody's Analytics, the Bank of Canada, and Telefonica have used Multiverse Computing's products. In 2025, they were named one of the “100 Most Promising Companies in AI” by CB Insights, and Digital Europe awarded them the “Future Unicorn 2024 Award.”
Offices: Paseo de Miramón, 170, Floor 2, San Sebastián, Basque Country 20014, ES · 192 Spadina Avenue, suite 210, Toronto, Ontario M5T 2C2, CA · Am Kartoffelgarten 14, Munich, Bayern 81671, DE · La Maison du quantique, 5 parvis Alan Turing Mail, Paris, FR · 3 Waterhouse Sq EC1N 2SW, London, GB
There are currently 439 open technology positions in Milan, Italy listed on Clera. New openings are added daily as companies post roles.
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