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Fundamental

Senior Applied Research Engineer

Barcelona
Level
Senior
Work type
On-site · Barcelona

Not stated in the posting: salary, visa.

Open. First seen 2 October 2026.

Apply on the company's site →

About the role

About Fundamental

Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.

Fundamental's standard text

At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.

Key responsibilities

  • Profile end-to-end distributed training runs to identify bottlenecks across compute, GPU memory, and inter-GPU communication
  • Contribute to architectural decisions that improve the efficiency and reliability of large-scale training jobs, including developing Triton/CUDA kernels when needed
  • Design and implement model scaling, parallelization, and memory optimization 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 spread internal knowledge about model efficiency and optimization
  • Drive the productionization and serving of our models from the research side, including improving inference efficiency through techniques such as quantization

Must have

  • Strong understanding of modern ML architectures and large-scale training pipelines
  • Experience running distributed training jobs on multi-GPU systems
  • Advanced profiling and debugging skills across CPU, GPU, memory usage, latency, and inter-GPU communication
  • Strong programming skills in Python
  • Experience with model scaling and parallelization 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
  • Comprehensive health coverage for you and your dependents
  • Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
  • Relocation support for employees moving to join the team in one of our office locations
  • A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

What this role asks for

Particular to this role

C++ · CUDA

Rare in Fundamental's other 18 open postings.

In most of Fundamental's ads

Python

Named in most of its open postings, whatever the role.

86% of this description is written for the role. The rest is Fundamental's standard text, folded away below.

Read against Fundamental's other open postings on this site.

The team: Research HIRES STEADILY

This role is one of 4 open in Research. 1 was posted in the last 30 days and the oldest in October: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (4 of 4), Machine Learning (3 of 4), C++ (2 of 4), Deep Learning (2 of 4), PyTorch (2 of 4)

OTHER ROLES ON THIS TEAM

From the team and dates on Fundamental's own job board.

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