Вакансии Multiverse Computing: работа в IT и digital

Multiverse Computing

Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.
With 300+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.

Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

• CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems — such as language models — to make them significantly more efficient and portable.

• Singularity is a quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.

We’re committed to building a truly inclusive culture — come and join us.

Job Overview

We are looking for a Senior Software Engineer with a strong background in backend systems and hands-on experience building AI agents and LLM-powered applications.

In this role, you will own the design and implementation of production-grade agentic systems, including orchestration, tool integration, retrieval, memory, evaluation, observability, and deployment. You will work across customer projects and product initiatives, collaborating with software, ML, data, and product teams to turn complex requirements into reliable systems.

This is a hands-on engineering role for someone comfortable moving from ambiguous requirements and early prototypes to maintainable systems running in production. Where appropriate, you will also help turn successful project patterns into reusable components and capabilities that can be applied across different use cases.

As a Software Engineer for Agent Orchestration, you will:

• Own the technical design and implementation of AI agent systems, from initial architecture and prototyping through deployment, evaluation, and production operation.

• Build robust backend services, APIs, adapters, and connectors that integrate language models, enterprise data, external tools, and customer systems.

• Design agent workflows involving tool use, routing, state management, memory, retrieval, human-in-the-loop steps, and controlled multi-step execution.

• Develop retrieval and knowledge-grounding capabilities, including RAG pipelines, SQL-based agents, web search, reranking, citation, and context management.

• Define and implement evaluation strategies using representative datasets, golden tests, failure taxonomies, regression testing, human review, and production feedback.

• Build reliable and observable execution flows with appropriate validation, retries, fallbacks, tracing, structured logging, metrics, and alerting.

• Deploy and operate AI systems in cloud and customer environments, working with containerisation, CI/CD, model endpoints, data stores, and production infrastructure.

• Improve latency, scalability, and cost through techniques such as caching, concurrency control, asynchronous execution, streaming, model selection, and efficient context management.

• Implement appropriate security and safety controls, including permissions, input and output validation, sensitive-data handling, auditability, and human approval where required.

• Build reusable components, templates, and reference implementations, and contribute successful patterns from customer projects to shared platforms and product capabilities where appropriate.

• Collaborate closely with customers, ML engineers, data engineers, devops engineers, and other software engineers to clarify requirements, evaluate trade-offs, and deliver useful outcomes.

• Contribute to technical direction through design documents, code reviews, engineering standards, and mentoring of other engineers.

Required Qualifications

• Master’s degree in Computer Science, Software Engineering, or a related technical field, with relevant practical experience.

• 5+ years of professional experience as a Software Engineer, with significant experience designing and owning backend or AI/ML systems in production.

• Hands-on experience building and deploying LLM-powered applications or AI agent systems beyond the prototype stage.

• Strong proficiency in Python and solid software engineering fundamentals, including modular design, testing, version control, code review, CI/CD, and maintainability.

• Experience designing APIs and integrating external services, tools, databases, and data pipelines into production software.

• Practical understanding of agentic system design, including tool use, structured outputs, workflow orchestration, state management, retrieval, error handling, and fallback strategies.

• Experience defining or implementing evaluation approaches for LLM or agent systems and using results to improve system behaviour.

• Experience with production reliability and observability practices, including structured logging, tracing, metrics, alerting, and incident analysis.

• Experience deploying and operating services using cloud infrastructure, containers, and production data stores.

• Strong system-design skills and the ability to explain architectural decisions and trade-offs involving quality, latency, reliability, scalability, and cost.

• Ability to take ownership of complex work, collaborate across disciplines, and communicate effectively with both technical and non-technical stakeholders.

• Fluent written and spoken Spanish and English.

Preferred Qualifications

• Hands-on experience with agent frameworks or SDKs such as LangGraph, LangChain, or similar technologies.

• Experience building end-to-end RAG systems, including ingestion, retrieval, vector databases, reranking, grounding, citation, and evaluation.

• Experience with SQL agents, web-search agents, Model Context Protocol integrations, or other tool-using AI systems.

• Experience with technologies such as FastAPI, PostgreSQL, vector databases, message queues, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.

• Familiarity with LLM inference and serving platforms, model routing, structured generation, and the trade-offs between hosted, open-source, and optimised models.

• Experience converting project-specific implementations into configurable, reusable components or shared platform capabilities.

• Experience mentoring engineers and raising engineering quality through code reviews, design reviews, and technical guidance.

Perks & Benefits

• Indefinite contract.

• Equal pay guaranteed.

• Variable performance bonus.

• Signing bonus.

• We offer work visa sponsorship (If applicable).

• Relocation package (if applicable).

• Private health insurance.

• Flexible remuneration: hospitality and public transportation.

• 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.

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.

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 300+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors.

Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.

You’ll work alongside world-leading experts, developing solutions that deliver real-world value for global clients. We are committed to fostering an inclusive, ethics-driven culture grounded in sustainability, diversity, and collaboration — a place where ambitious, curious people take ownership, push boundaries, and grow. Come and join us.

As a Machine Learning Engineer, you will:

• Build and maintain the training stack our researchers use every day: multi-node training and post-training pipelines (SFT, distillation, RL) built on Megatron-LM, Megatron Bridge and NeMo RL.

• Build scalable data pipelines for curation, filtering, deduplication, tokenization and synthetic data generation.

• Build and maintain evaluation pipelines, so benchmark results are reproducible and comparable across models and checkpoints.

• Build RL environments, verifiers and reward pipelines for reasoning, coding and agentic tasks, and keep rollouts fast and stable.

• Profile and optimise training and inference: GPU utilisation, memory, parallelism configuration, checkpointing, I/O.

• Package, optimise and benchmark models for deployment, including on non-NVIDIA and edge hardware.

• Turn research ideas (new architectures, compression methods, training recipes) into clean, tested, reusable code, and run experiments together with the research team.

• Keep our work reproducible through containers, configs, experiment tracking, CI, code review and documentation.

Required Qualifications

• Master’s in Computer Science, AI, Mathematics, Physics, Engineering or a related field, or equivalent industry experience.

• 2+ years of industry experience building ML systems, including at least 1 year hands-on with transformer models or LLMs.

• Strong Python software engineering: clean, maintainable, tested code; git, code review, unit and integration tests, CI.

• Strong PyTorch and hands-on experience training or fine-tuning transformer models.

• Experience running multi-GPU jobs and a working understanding of distributed training (data, tensor and pipeline parallelism; FSDP or DeepSpeed).

• Comfortable with Linux, containers (Docker or similar) and shared GPU clusters (Slurm or Kubernetes).

• Experience building data pipelines that process large datasets.

• Solid ML fundamentals: you understand what happens inside training, not just how to launch it.

• Good debugging and communication skills. Fluent English.

Preferred Qualifications

We don’t expect anyone to have all of these. Our research covers many areas and nobody on the team is an expert in all of them. If you are strong in some and new to others, we still want to hear from you.

• Experience with the NVIDIA stack: Megatron-LM, Megatron Bridge, NeMo RL, NeMo Gym, NeMo Curator.

• Hands-on post-training: SFT, DPO, or RL (GRPO, PPO), or frameworks such as verl, TRL or OpenRLHF.

• Inference engines (vLLM, SGLang, TensorRT-LLM) for serving, synthetic data generation or RL rollouts.

• Deployment on edge or alternative hardware: llama.cpp, ExecuTorch, ONNX Runtime, OpenVINO, vendor NPU SDKs.

• Model compression: quantization (GPTQ, AWQ, FP8), pruning, distillation.

• GPU performance work: profiling (Nsight, PyTorch profiler), Triton or CUDA kernels.

• Evaluation tooling: lm-evaluation-harness, lighteval, NeMo Evaluator.

• Experiment tracking and MLOps (MLflow, Weights & Biases), cloud platforms (ideally AWS).

• Experience with Physical AI tooling: robotics simulation (Isaac Sim/Lab, MuJoCo) or vision-language-action models.

• Spanish.

Exceptional Qualifications

• Merged contributions to major open-source ML projects (PyTorch, Megatron-LM, vLLM, Hugging Face, etc.).

• Knowledge of tensor networks or quantum-inspired methods.

• Publications or patents.

Perks & Benefits

• Indefinite contract.

• Equal pay guaranteed.

• Variable performance bonus.

• Signing bonus.

• We offer work visa sponsorship (if applicable).

• Relocation package (if applicable).

• Private health insurance.

• Eligibility for educational budget according to internal policy.

• Hybrid opportunity.

• Flexible working hours.

• Language classes and discounted lunch options.

• A high-performance, collaborative environment, operating at pace on cutting-edge technologies.

• Career plan. Opportunity to learn and teach.

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.

Multiverse Computing

Multiverse Computing

• Write and edit press releases, executive statements, op-eds, and strategic announcements to the highest editorial standard.

• Translate complex quantum and AI concepts into compelling, credible narratives accessible to business and mainstream media audiences.

• Ensure consistency between external communications and company positioning across product launches, partnerships, and milestones.

• Align communications strategy with Marketing, Product, Legal, and Commercial teams before each external moment.

• Own crisis and issues management communications — rapid response, message control, stakeholder coordination.

• Report on coverage quality, sentiment, share of voice, and earned media impact to senior leadership.

• Established, direct relationships with journalists and editors at major technology and business media in the US and/or Europe (e.g. FT, Reuters, Bloomberg, TechCrunch, Wired, VentureBeat, WSJ, The Economist).

• Demonstrable track record of securing high-impact earned media coverage through direct outreach — not solely via agency relationships.

• Significant experience in communications or PR within AI, enterprise software, deep tech, or complex B2B environments.

• Exceptional writing and editorial skills in English; ability to produce publication-ready content independently.

• Proven experience reducing external agency dependency by building in-house PR capability.

• Comfortable operating at pace in a global, multicultural scale-up environment.

• Experience managing communications for a company undergoing rapid international growth or a major funding/IPO moment.

• Existing contacts in the US market specifically — the ability to activate US media relationships from day one.

• Familiarity with the quantum computing or advanced AI ecosystem.

• Experience supporting C-level executive positioning and media preparation.

• English: full professional fluency

• Spanish is a plus

Multiverse Computing

Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.
With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.
Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.

· You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.

· We’re committed to building a truly inclusive culture - come and join us.

Location: Madrid (Hybrid)

Flexibility of candidate needs to go to Guadalajara office at least once a week and the other 2 days of the office work, can be done in Madrid/Guadalajara.

As a DevOps Engineer, you will

· Deliver in a fast-paced, high-accountability environment: prioritise a broad workload against tight timelines, take ownership of outcomes, and make sound decisions with incomplete information.

· Optimize the performance, scalability, and reliability of our model inference API and other API's

· Implement DevOps strategies for the organization.

· Work with development and operations teams to automate software delivery processes.

· Identify and implement tools and processes to improve software development and delivery.

· Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience.

· Help deploy our software stack to Fortune 500 clients’ servers.

Required Qualifications

· Bachelor’s degree in Computer Engineering, Computer Science, or related field;

· Alternatively, significant work experience as a Software Engineer.

· 2-5 years of experience working as a DevOps engineer.

· Experience in large-scale, secure, and high availability solutions in the AWS Cloud, using automation to support deployment, scaling, monitoring, and management (Terraform / CloudFormation).

· Experience building CI/CD pipelines (i.e., GitLab CI/CD, GH Actions, Jenkins).

· Experience with deploying, managing, and optimizing API's in production environments.

· Familiarity with containerization technologies such as Docker and Kubernetes.

· Proficiency with one or more scripting and programming languages (Bash, Python, Go, etc).

· Proven ability to troubleshoot and identify the root cause of infrastructure and security Issues.

· Proven ability to prioritise and deliver under pressure and tight deadlines.

· Good command of English and ideally another EU Language.

Perks & Benefits

· Equal pay guaranteed.

· Signing bonus

· Relocation package (if applicable).

· Private health insurance.

· Eligibility for educational budget according to internal policy.

· Hybrid opportunity.

· Flexible working hours.

· Flexible remuneration (Employees in Spain only): hospitality and public transportation

· Language classes and discounted lunch options

· A high-performance, collaborative environment, operating at pace on cutting-edge technologies.

· Career plan. Opportunity to learn and teach.

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.

Multiverse Computing

Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.
With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.
Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

• CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.

• Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.
We’re committed to building a truly inclusive culture—come and join us.

Job Overview
We are seeking a skilled and experienced Machine Learning Engineer with a strong background in Large Language Models to join our team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.

As a Machine Learning Engineer, you will

• Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.

• Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.

• Build LLM based applications such as RAG and AI agents.

• Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.

• Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.

• Design, train and deliver custom deep learning models for our clients

• Work in diverse areas beyond LLM, e.g., computer vision.

• Maintain comprehensive documentation of LLM development processes, experiments, and results.

• Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development.

• Participate in code reviews and provide constructive feedback to team members.

• Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate.

Required minimum Qualifications: 

• Bachelor's, Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.

• 5+ years of hands-on experience with designing, training or fine-tuning deep learning models, preferably working with transformer or computer vision models.

• 5+ year of hands-on experience using transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc."

• Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference.

• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.

• Strong understanding with the fundamentals of GPU architectures and LLM hardware/ software infrastructures.

• Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).

• Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment

• Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.

• Previous research publications in deep learning or any tech field is a plus

• Fluent in English
  

Preferred Qualifications: 

• Experience running large-scale workloads in high-performance computing (HPC) clusters.

• Experience in handling large datasets and ensuring data quality.

• Experience with inference and deployment environments (TensorRT, vLLM, etc.).

• Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard).

• Experience building and evaluating RAG systems.

• Experience in building non-LLM deep learning applications, e.g., computer vision, audio or signal processing.

• Familiarity with AI ethics and responsible AI practices.

• Experience in DevOps/MLOps practices in deep learning product development.

Perks and Benefits

• Indefinite contract.
  

• Equal pay guaranteed.
  

• Variable performance bonus.
  

• Signing bonus.
  

• We offer work visa sponsorship (If applicable).
  

• Relocation package (if applicable).
  

• Private health insurance.
  

• 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

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.

Multiverse Computing

• Train and post-train LLMs and multimodal models on multi-node GPU clusters using SFT, preference optimisation, RL (e.g. GRPO), and on-policy and offline distillation.

• Design compression techniques (quantization, pruning, quantization-aware training, quantum-inspired tensor-network methods) and healing recipes that recover the quality of compressed models.

• Build RL environments, reward functions and verifiers for reasoning, coding and agentic tasks, and extend RL methods to world models and Physical AI.

• Research and prototype post-transformer and hybrid architectures (state-space models, linear attention, MoE), from small-scale ablations to scaling recipes.

• Build data pipelines for curation, filtering, deduplication and large-scale synthetic data generation.

• Design rigorous ablations and evaluations on current benchmark suites (reasoning, coding, long-context, instruction following, agentic) as well as internal evals.

• Port and optimise models for inference on various accelerators and edge chips, profiling latency, memory and throughput.

• Write up experiments and results as internal reports and, where relevant, papers and open-source releases.

• Review code, mentor teammates, and follow and bring in the latest research.

• Master’s or PhD in Computer Science, AI, Mathematics, Physics or a related field, or equivalent industry experience.

• Senior: 4+ years of hands-on experience training or post-training transformer models.

• Strong PyTorch. You are comfortable working below library level: model code, custom losses, parallelism configuration.

• Experience with distributed training (FSDP, DeepSpeed or Megatron-LM; data, tensor, pipeline and expert parallelism) on multi-node clusters with Slurm/K8s.

• Hands-on post-training experience: SFT, DPO, and at least one RL method (PPO, GRPO or similar).

• Solid mathematical foundations in linear algebra, optimisation and probability, and an understanding of training dynamics.

• Good understanding of GPU fundamentals: memory hierarchy, mixed precision, profiling, throughput.

• Rigorous experimental practice: ablation design, reproducibility, experiment tracking, noise-aware evaluation.

• Strong debugging and communication skills. Fluent English.

• Experience with the NVIDIA stack (Megatron-LM, Megatron Bridge, NeMo RL, NeMo Gym, NeMo Curator) or similar frameworks (verl, TRL, OpenRLHF).

• RL infrastructure: rollout engines (vLLM, SGLang), asynchronous RL, reward model and verifier design, agentic environments.

• Model compression: post-training quantization and QAT (GPTQ, AWQ, FP8/FP4), pruning, distillation, low-rank or tensor-network methods.

• Post-transformer architectures: SSMs/Mamba, linear attention, hybrid models, diffusion LMs.

• Physical AI: vision-language-action models, world models (e.g. JEPA-style or video world models), robotics simulation.

• Multimodal model training (vision-language, audio).

• Inference on alternative hardware: ExecuTorch, llama.cpp, ONNX Runtime, OpenVINO, vendor NPU SDKs, custom kernels (Triton, CUDA).

• Large-scale data processing and synthetic data generation.

• Evaluation tooling (lm-evaluation-harness, lighteval, NeMo Evaluator) and familiarity with Artificial Analysis.

• Publications at top venues (NeurIPS, ICML, ICLR, ACL, etc.), notable open-source contributions, or models released on Hugging Face.

• Spanish.