GPU Optimization Engineer (AI)

Location: Remote within the EU

Company

hirify.global builds multimodal AI models designed to generate, understand, and operate in the physical world.

What you will do

• Profile and optimize GPU, CPU, and accelerator code to maximize utilization and reduce latency.
• Develop high-performance PyTorch, Triton, and CUDA kernels, including custom operations.
• Build fused kernels using tensor cores and modern hardware features.
• Optimize transformer model architectures and implementations for distributed multi-node production deployment.
• Create performance monitoring, analysis, and automation tools.
• Research and implement advanced optimization techniques for transformer models.

Requirements

• Expert-level Triton and CUDA programming with GPU optimization experience.
• Strong PyTorch skills, including kernel development and custom operations.
• Proficiency with profiling tools such as NVIDIA Nsight, torch profiler, and custom tooling.
• Deep understanding of transformer architectures and attention mechanisms.
• Ability to work remotely from within the EU.

Nice to have

• Experience with compilers and exporters such as torch.compile, TensorRT, ONNX, or XLA.
• Experience optimizing inference workloads for latency and throughput.
• Knowledge of Triton compiler technology and kernel fusion techniques.
• Knowledge of warp-level intrinsics and advanced CUDA optimization.

Culture & Benefits

• Full-time role in the Research & AI department.
• Work remotely within the EU.
• Equal opportunity employer.

Hiring process

• The first 90 days focus on profiling current training and inference paths, shipping measurable kernel or architecture improvements, and building monitoring automation.