Senior Machine Learning Engineer
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Job description
Level: Senior (5-7 years) Location: Barcelona, SpainJob Type: Full-time 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
Requirements
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: o Data structures and algorithms o Concurrency, threading, and synchronization o Memory management, caching, and performance profiling o 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. Why 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. #J-18808-Ljbffr