Software Engineer - Ai Systems & Frameworks (Barcelona)

Job Type: Full-timeWe 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.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.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.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.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.~ Data structures and algorithms~ 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.~ Contributions to open-source projects or personal ML systems experiments (for example, ONNX Runtime or Hugging Face).Build a solid foundation in AI software and performance engineering.Grow into more advanced technical roles across multiple AI projects.

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. ~ Data structures and algorithms ~ 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. ~ Contributions to open-source projects or personal ML systems experiments (for example, ONNX Runtime or Hugging Face). Build a solid foundation in AI software and performance engineering. Grow into more advanced technical roles across multiple AI projects.