Solutions Architect AI ML Training & GPU infra
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Job Location:
Den Bosch - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
AI/ML Solutions Architect Distributed Training & GPU Infrastructure
Company
Join a fast-moving AI infrastructure team working on the cutting edge of large-scale ML workloads. This role is ideal for engineers who enjoy solving deep technical challenges in distributed training multi-GPU systems and scalable AI inference infrastructure. You will work directly with AI-focused clients helping them get the most out of modern GPUs (H100 B200 etc.) and ML frameworks such as PyTorch (and JAX in some environments).
Team & Responsibilities
Work alongside senior AI and infrastructure engineers building large-scale GPU platforms. As part of the customer solutions team you will:
Design and validate production-grade distributed training (primary) and largescale inference architectures on large GPU clusters typically tens to thousands of GPUs
Work hands-on with customers to debug optimize and scale ML workloads across multi-node GPU environments
Act as a technical authority on GPU performance networking and schedulers making trade-offs at scale and translating customer needs into concrete platform requirements
Collaborate closely with engineering product and R&D to influence roadmap decisions based on real-world ML workloads
This is a hands-on technical role; you are expected to work directly in customer environments not only advise at a high level
Required skills and experience
Hands-on experience designing and operating production-grade multi-node GPU workloads for training or inference
Strong background in distributed deep learning (PyTorch Distributed DeepSpeed) on GPU clusters
Deep understanding of GPU architecture and interconnects (H100/A100 class NVLink InfiniBand)
Experience with Kubernetes or Slurm and performance tuning using GPU profiling and monitoring tools
This role is not a fit if your experience is limited to single-node training high-level AI strategy or non-production research environments. We are looking for engineers and architects who thrive at the intersection of AI workloads and large-scale infrastructure.
Whats offered
Location: Remote from anywhere in Europe
Total compensation up to EU 300k (base variable) depending on level and experience
Key Skills
About Company
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