ML Systems Engineer (AI)

Location: Barcelona, on-site

Company

hirify.global is an AI company developing NEXUS, a large tabular model for enterprise decision-making, founded by DeepMind alumni and backed by leading investors.

What you will do

• Profile end-to-end distributed training runs to identify compute, GPU memory, and inter-GPU communication bottlenecks.
• Contribute to architectural decisions that improve the efficiency and reliability of large-scale training jobs.
• Develop Triton and CUDA kernels when needed, and implement model scaling, parallelization, and memory optimization techniques for large-context workloads.
• Collaborate with ML Researchers to diagnose architectural inefficiencies and ensure research ideas scale efficiently in practice.
• Drive model productionization and serving, including inference optimization through techniques such as quantization.

Requirements

• 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 Python programming skills.
• Experience with model scaling and parallelization strategies, including tensor and pipeline parallelism.
• Familiarity with NCCL, MPI, PyTorch and Triton internals, plus programming experience with C++ and CUDA.

Culture & Benefits

• Competitive compensation with salary and equity.
• Comprehensive health coverage for employees and dependents.
• Paid parental leave for all new parents, including adoptive and surrogate journeys.
• Relocation support for employees moving to an office location.
• Low-ego, mission-driven culture focused on diversity of thought, ownership, and bias toward action.