AI/ML Solutions Architect (Distributed Training & GPU Infrastructure)

Location: Remote from anywhere in Europe

Total compensation up to EU 300k, including base and variable compensation, depending on level and experience.

Company

hirify.global is recruiting for a fast-moving AI infrastructure team focused on large-scale machine learning workloads and customer solutions.

What you will do

• Design and validate production-grade distributed training and large-scale inference architectures on GPU clusters ranging from tens to thousands of GPUs.
• Debug, optimize, and scale machine learning workloads across multi-node GPU environments in customer settings.
• Provide technical authority on GPU performance, networking, and schedulers, making trade-offs at scale.
• Translate customer needs into concrete platform requirements and collaborate with engineering, product, and R&D on roadmap decisions.
• Work hands-on in customer environments rather than providing only high-level advice.

Requirements

• Hands-on experience designing and operating production-grade, multi-node GPU workloads for training or inference.
• Strong background in distributed deep learning, including PyTorch Distributed and DeepSpeed, on GPU clusters.
• Deep understanding of GPU architecture and interconnects, including H100/A100-class GPUs, NVLink, and InfiniBand.
• Experience with Kubernetes or Slurm and performance tuning using GPU profiling and monitoring tools.
• Single-node training experience, high-level AI strategy, or non-production research experience alone is not sufficient for this role.

Culture & Benefits

• Remote work from anywhere in Europe.
• Hands-on collaboration with senior AI and infrastructure engineers and AI-focused customers.
• Exposure to large-scale distributed training, multi-GPU systems, and scalable AI inference infrastructure.

Hiring process

• Apply to be considered for the role.