Senior Applied Research Engineer | Barcelona, Spain We are partnered with a cutting- edge AI company shaping the future of enterprise decision- making. Founded by experienced technologists from leading research environments, the firm has developed a market- leading platform purpose- built for the structured data that underpins critical business decisions. Backed by top-tier investors and trusted by some of the world’s largest organisations, the company helps enterprises unlock significant value by enabling more accurate, forward-looking decision-making.

You will work on novel technical challenges in large-scale model development and contribute to technology that is changing how major organisations operate. This is an opportunity to join a category-defining company at an early stage and help shape its trajectory.

Location & compensation Location: Barcelona, Spain

Salary: Up to €150,000 (plus equity)

Industry: Technology

Key responsibilities

- Profile end-to-end distributed training runs to identify bottlenecks across compute, GPU memory, and inter-GPU communication.
- Influence architectural decisions to improve efficiency and reliability of large-scale training jobs, including developing Triton/CUDA kernels when needed.
- Design and implement model scaling, parallelisation,



and memory optimisation techniques for training workloads with very large context sizes.
- Collaborate closely with ML Researchers to diagnose architectural inefficiencies, ensure new research ideas scale efficiently in practice, and share internal knowledge on optimisation.
- Drive productionisation and serving of models from the research side, including improving inference efficiency via techniques such as quantisation.

Qualifications

- Must have strong understanding of modern ML architectures and large-scale training pipelines.
- Hands-on experience running distributed training jobs on multi-GPU systems.
- Advanced profiling and debugging across CPU, GPU, memory usage, latency, and inter-GPU communication.
- Strong programming skills in Python.
- Experience with model scaling and parallelisation strategies, including tensor and pipeline parallelism.

Nice to have

- Familiarity with NCCL, MPI, and distributed communication primitives.
- Knowledge of PyTorch and Triton internals.
- Programming experience with C++ and CUDA.

Benefits Competitive compensation with salary and equity and comprehensive benefits. Relocation support for employees moving to join the team in an office location.

A mission- driven, low-ego culture valuing diversity of thought, ownership, and bias towards action.

📌 Senior Applied Research Engineer | Barcelona (Madrid)
🏢 Source Technology
📍 Madrid