**Level:** Senior (5\-7 years) **Location:** Barcelona, Spain **Job Type:** Full\-time **About the Role** We are seeking a senior engineer to join our high\-performance team, which partners with leading AI chip companies to deliver cutting\-edge software that enables end\-users to run Vision and Generative AI inference workloads efficiently on custom accelerators. As a Senior Machine Learning Engineer, you will be a key technical member of the team, working in a hands\-on role to contribute to the design and development of frameworks, APIs, and runtime integrations that enable AI models to run seamlessly on next\-generation hardware. You will also help shape technical direction, mentor junior engineers, and collaborate closely with the client’s compiler/runtime and hardware architecture teams. This is not a traditional *applied ML* role. Instead, it requires deep software engineering expertise with strong exposure to AI/ML systems, ideal for someone who thrives in systems programming and performance optimization, and wants to pivot into the AI/ML domain while continuing to build on their proven experience in delivering robust, high\-quality software. In this role, you will directly contribute to enabling large\-scale AI workloads on custom hardware. **What you'll do** ● Define and implement software architecture and design patterns to ensure frameworks and applications are scalable, maintainable, and reusable. ● Architect and develop Python/C\+\+ frameworks for integrating ML models with custom runtimes. ● Design and implement high\-performance APIs, bindings, and libraries to support inference of Vision and Generative AI models. ● Build and maintain Model Zoo, loaders, and optimization workflows to simplify model deployment. ● Profile, debug, and optimize performance\-critical paths in runtime and framework layers. ● Develop real\-time pipelines and applications using GStreamer, OpenCV, and other multimedia/ML frameworks. ● Collaborate with compiler/runtime teams to ensure smooth integration of graph\-level and operator optimizations. ● Mentor and guide junior engineers; enforce software engineering best practices across design, testing, CI/CD, and code reviews. ● Own end\-to\-end delivery of software components: define scope, set timelines, and drive execution. **What we're looking for** ● 5–7\+ years of professional experience in software engineering, ideally in systems programming or performance\-critical applications. ● Strong programming expertise in C\+\+ (C\+\+11/14/17\) and Python. ● Experience with C\+\+/Python bindings (e.g., pybind11, SWIG). ● Strong fundamentals in: ○ Data structures and algorithms ○ Concurrency, threading, and synchronization ○ Memory management, caching, and performance profiling ○ Networking and streaming systems ● Exposure to ML frameworks (PyTorch, TensorFlow, ONNX Runtime) and how they interface with hardware runtimes. ● Experience building frameworks, SDKs, or toolchains used by other developers or customers. **Bonus Points** ● Hands\-on experience deploying vision or Generative AI models (transformers, diffusion models, LLM inference). ● Experience with multimedia/vision pipelines (e.g., GStreamer plugin development). ● Contributions to open\-source ML systems projects (e.g., Hugging Face, ONNX Runtime, TensorRT). ● Prior experience in a technical lead or client\-facing role. **What join 10xEngineers?** ● Opportunity to work on state\-of\-the\-art AI systems with a world\-class chip company. ● A chance to be the anchor of a team, shaping its technical culture and delivery standards. ● Continuous exposure to Vision and Generative AI workloads without being tied to repetitive applied ML tasks. ● Growth path into architectural leadership across multiple projects. Job Type: Full\-time Work Location: Remote