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Senior Performance Engineer- Pre-training(f/m/d)

Heidelberg💼 Full-time🗓 2026-02-26 → 2026-08-01

Core

Engineer systems to train foundation models at scale by maximizing hardware utilization and training throughput on large-scale GPU clusters.

Role type

Senior IC performance engineer (pre-training)

Builds

High-throughput training infrastructure for large language models

Domain

AI/ML infrastructure, distributed systems, GPU computing

Deliverable

production ML models

Required skills

Python, PyTorch, CUDA programming, distributed systems, parallel computing, GPU microarchitecture, profiling tools (PyTorch Profiler, Nsight Systems, Nsight Compute), NCCL, MPI

Preferred skills

Distributed training frameworks (TorchTitan, Megatron-LM, DeepSpeed), low-precision training formats (MXFP4, MXFP8), NVIDIA Blackwell architecture, NVSHMEM, CUDA IPC

Technologies

PyTorch, CUDA, NCCL, MPI, Nsight Systems, Nsight Compute, NVIDIA Blackwell GPUs

Responsibilities

Profile training loops to identify system- and kernel-level bottlenecks; Configure and tune composite parallelism strategies (TP, DP, HSDP/FSDP, EP); Partner with AI Researchers to define model architectures for hardware efficiency

Seniority

Senior, hands-on IC

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