Software Engineer – Ai Systems & Frameworks (Barcelona)

10Xengineers; Pontevedra; Presencial; EUR 42.000 - 60.000; Jornada completa

Descripción de la vacante

10Xengineers busca un ingeniero de software para unirse a un equipo de alto rendimiento, colaborando con empresas destacadas de IA. Trabajará en frameworks, APIs y runtimes que permiten ejecutar cargas de inferencia de visión y IA generativa en hardware personalizado.

Se valorará construir una base sólida en sistemas de IA/ML, optimización de rendimiento y desarrollo de software, colaborando con equipos de compiladores y hardware para entregar soluciones de producción.

Formación

• 1–3 años de experiencia en desarrollo de software.
• Dominio de C++ (C++11/14) y Python.
• Conocimientos de bindings como pybind11 o SWIG.
• Fuerte comprensión de estructuras de datos, concurrencia y gestión de memoria.
• Conocimientos en redes y sistemas de streaming.
• Alguna exposición a ML, frameworks y su integración con runtimes de hardware.

Responsabilidades

• Asistir en desarrollar una arquitectura de software escalable y patrones de diseño.
• Contribuir a frameworks y APIs en Python/C++ que integren modelos ML con runtimes personalizados.
• Desarrollar APIs de alto rendimiento, bindings y bibliotecas para visión e inferencia de IA.
• Apoyar el mantenimiento de Model Zoo, loaders de modelos y flujos de optimización.
• Perfilado, depuración y optimización de secciones críticas de rendimiento.
• Colaborar con equipos de compilador/run time en optimizaciones de grafos y operadores.

Conocimientos

C++

Python

pybind11/SWIG

Data structures & algorithms

Concurrency

Memory management

Networking

ML frameworks exposure

Herramientas

GStreamer

OpenCV

PyTorch/TensorFlow/ONNX Runtime

Descripción del empleo

Descripción del trabajo

Location: Barcelona, Spain (Must be based and legally authorized to work in Spain / EU)

Obtenga más información sobre las tareas generales relacionadas con esta oportunidad a continuación, así como sobre las habilidades requeridas.

Job Type: Full-time

Experience: 1 to 3 years

About the role

We are seeking a Software Engineer to join our high-performance team collaborating with leading AI chip companies. Our work focuses on developing software that enables users to run Vision and Generative AI inference workloads efficiently on custom accelerators.

This is a hands‑on engineering role where you will contribute to the development of frameworks, APIs, and runtime integrations that power AI models on next-generation hardware. You will work alongside senior engineers and coordinate with compiler/runtime and hardware architecture teams.

This is not a traditional applied ML position. It suits someone who wants to build a strong foundation in AI/ML systems, performance optimization, and software engineering, while contributing to production‑grade AI enablement.

Key Responsibilities

• Assist in implementing scalable software architecture and design patterns.
• Help develop Python/C++ frameworks that integrate ML models with custom runtimes.
• Contribute to building high-performance APIs, bindings, and libraries for Vision and Generative AI inference.
• Support Model Zoo maintenance, model loaders, and optimization workflows for easier deployment.
• Profile, debug, and optimize performance-critical sections in framework and runtime layers.
• Contribute to real‑time pipelines using GStreamer, OpenCV, and related frameworks.
• Collaborate with compiler/runtime teams on graph-level and operator optimizations.
• Apply best practices in design, testing, CI/CD, and code reviews.
• Participate in end‑to‑end software delivery, including defining scope and meeting project timelines.

Requirements

• 1 – 3 years of professional or internship experience in software engineering, preferably in systems programming or performance-related domains.
• Proficiency in C++ (C++11/14) and Python.
• Familiarity with C++/Python bindings such as pybind11 or SWIG.
• Strong understanding of:
• Data structures and algorithms
• Concurrency, threading, and synchronization
• Memory management, caching, and performance profiling
• Networking and streaming systems
• Some exposure to ML frameworks such as PyTorch, TensorFlow, or ONNX Runtime and their integration with hardware runtimes.
• Interest in building frameworks, SDKs, or toolchains used by other developers.

Bonus Points

• Experience working with Vision or Generative AI models such as transformers, diffusion models, or LLM inference.
• Familiarity with multimedia and vision pipelines (for example, GStreamer).
• Contributions to open-source projects or personal ML systems experiments (for example, ONNX Runtime or Hugging Face).
• Strong motivation to learn and work in a collaborative technical environment.

Why Join 10xEngineers

• Work with a world‑class chip company on state‑of‑the‑art AI systems.
• Build a solid foundation in AI software and performance engineering.
• Continuous exposure to Vision and Generative AI workloads without repetitive applied ML tasks. xsgfvud
• Grow into more advanced technical roles across multiple AI projects.