> Markdown version of [/jobs/ext/2168680-software-engineer](https://www.wearedevelopers.com/jobs/ext/2168680-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Multiverse Computing - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Nvidia CUDA, Continuous Integration, Data Validation, Software Design Patterns, DevOps, Job Scheduling, Python (Programming Language), Performance Tuning, Pytorch, Large Language Models, Software Security, Solid Principles, HuggingFace, Production Code, Machine Learning Operations, Api Design, Docker - **Published:** August 21, 2026 - **Apply:** https://www.jobleads.com/es/job/efc97b928cc301a094b2455d8486ef5f3 ## About the Role Software Engineering * Proven track record designing and implementing production-grade software running under real load * Solid grasp of clean architecture, separation of concerns, SOLID principles, testability and maintainability as first-class concerns * Experience with software design patterns and sound judgment on when (and when not) to apply them * Understands service-level architecture: API design, layered architectures, event-driven patterns, and how to structure code that outlives its author * Good grounding in software security principles: input validation, secret management, dependency auditing, container hardening, secure API design * Experience with containerized deployment fundamentals (Docker) and CI/CD concepts * Python coding experience.Soft Skills * 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 * Acts as developer, mentor, and reviewer in the same sprint - writes production code, gives PR feedback to mid-level engineers, upholds review standards * Communicates technical risk clearly - surfaces blockers early with context * Comfortable with ambiguity and working under pressure; self-directed * Collaborates cross-functionally (MLOps, DevOps, Platform Engineering) without needing a manager to mediate, ML & LLM Exposure * Exposure to PyTorch and/or HuggingFace Transformers (fine-tuning, inference, compression workflows) * Familiarity with ML infra concepts: training orchestration, experiment tracking, GPU job scheduling * Awareness of LLM techniques: distillation, quantization, pruning, inference serving * Some exposure to GPU-aware engineering (CUDA, mixed precision, multi-GPU) is a plusTooling & Infrastructure * ECR, ArgoCD/Helm, structured CI/CD pipelines beyond basic Docker * Async long-running job orchestration patterns * CLI frameworks, Python packaging, Docker multi-stage builds * General comfort moving across CLI tooling to API services to infra glue ## Related Videos - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 138 - Are you secure about this?](https://www.wearedevelopers.com/magazine/486-dev-digest-138-are-you-secure-about-this) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)