Senior Software Engineer

Multiverse Computing; Madrid; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Multiverse Computing is looking for an experienced software professional to contribute to building and scaling its quantum and AI platforms. You will work with a world-class team and Fortune-500 customers to industrialize cutting-edge technologies.

The role involves leading design discussions, mentoring engineers, and delivering production-grade software with a strong emphasis on security, reliability, and clean architecture.

Formación

• Understand service-level architecture: API design, layered architectures, event-driven patterns.
• Experience with design patterns and sound judgment on when to apply them.
• Proven track record designing and implementing production-grade software under real load.
• Experience with containerized deployment fundamentals (Docker) and CI/CD concepts.
• Solid grasp of clean architecture, SOLID, maintainability, and testability.
• Knowledge of software security principles: input validation and secret management.
• Familiarity with ML infra concepts: training orchestration and GPU scheduling.
• Acts as developer, mentor, and reviewer in the same sprint with production code.
• Comfortable with ambiguity, self-directed, and able to operate under pressure.
• Exposure to PyTorch and HuggingFace Transformers (fine-tuning, inference, compression workflows).

Responsabilidades

• Take on technical leadership and work with software, DevOps, ML, and quantum experts to industrialize Multiverse’s core technologies.
• Mentor and review in the sprint, providing feedback to mid-level engineers and upholding standards.
• Design and implement production-grade software that scales under real load and evolving requirements.
• Collaborate across teams to improve reliability, security, and performance of platforms.

Conocimientos

Python

Docker

CI/CD

ML infra

CUDA

PyTorch

HuggingFace Transformers

DevOps

Security

Software architecture

Herramientas

ArgoCD

Helm

ECR

Descripción del empleo

• Join a world-class team of Quantum and AI experts with an extensive track record in both academia and industry
• Work with Fortune-500 customers from government and private sectors
• Contribute to our groundbreaking compressing tool
• Tackle high value open problems from industry
• Take on technical leadership and work together with software and DevOps engineers as well as our machine learning and quantum experts to industrialize Multiverse’s core technologies

• Understands service-level architecture: API design, layered architectures, event-driven patterns, and how to structure code that outlives its author
• Experience with software design patterns and sound judgment on when (and when not) to apply them
• Proven track record designing and implementing production-grade software running under real load
• Experience with containerized deployment fundamentals (Docker) and CI/CD concepts
• Solid grasp of clean architecture, separation of concerns, SOLID principles, testability and maintainability as first-class concerns
• Good grounding in software security principles: input validation, secret management, dependency auditing, container hardening, secure API design
• Familiarity with ML infra concepts: training orchestration, experiment tracking, GPU job scheduling
• Acts as developer, mentor, and reviewer in the same sprint - writes production code, gives PR feedback to mid-level engineers, upholds review standards
• Comfortable with ambiguity and working under pressure; self-directed
• CLI frameworks, Python packaging, Docker multi-stage builds
• ECR, ArgoCD/Helm, structured CI/CD pipelines beyond basic Docker
• General comfort moving across CLI tooling -> API services -> infra glue
• Exposure to PyTorch and/or HuggingFace Transformers (fine-tuning, inference, compression workflows)
• Async long-running job orchestration patterns
• ML & LLM Exposure
• Awareness of LLM techniques: distillation, quantization, pruning, inference serving
• Some exposure to GPU-aware engineering (CUDA, mixed precision, multi-GPU) is a plus
• Collaborates cross-functionally (MLOps, DevOps, Platform Engineering) without needing a manager to mediate
• Proposes solutions to unfamiliar problems: research first, presents alternatives with trade-offs, doesn’t wait to be told the answer
• Breaks complex cross-repo issues into sequenced, followable steps
• Communicates technical risk clearly - surfaces blockers early with context
• Python coding experience