Alephalpha
Senior AI R&D Engineer - Performance - Pre-training (f/m/d)
Heidelberg, Remote. Posted a month ago
The role
You will engineer systems to train foundation models at scale. You will maximize hardware utilization and training throughput on large-scale GPU clusters.
What you will do
- Profile training loops using PyTorch Profiler, Nsight Systems and Nsight Compute to identify system- and kernel-level bottlenecks.
- Configure and tune composite parallelism strategies to optimize load balance and minimize bottlenecks.
- Partner with AI Researchers to define model architectures for hardware efficiency.
Required qualifications
- Proficient in Python and the PyTorch library.
- Strong engineering background in parallel and/or distributed systems.
- Hands-on experience with modern machine learning techniques especially large language models and their life cycle.
- Deep understanding of the CUDA programming model.
- Experience in distributed programming with APIs like NCCL or MPI.
- Experience analysing profiling traces with tools such as PyTorch Profiler and Nvidia Nsight.
- Regular on-site collaboration in Heidelberg.
Nice to have
- Contributions to modern distributed training frameworks (e.g., TorchTitan, Megatron-LM, DeepSpeed).
- Familiarity with low-precision training formats (MXFP4, MXFP8) and their impact on numerical stability and throughput.
- A deep understanding of NCCL communication primitives, NVSHMEM or CUDA IPC and their performance.
- A proven track record of implementing and optimising modern transformer-based model training.
- A proven track record working on the NVIDIA Blackwell architecture.
Benefits
- 30 days of paid vacation
- Access to a variety of fitness & wellness offerings via Wellhub
- Mental health support through nilo.health
- Substantially subsidized company pension plan
- Subsidized Germany-wide transportation ticket
- Budget for additional technical equipment
- Flexible working hours
- Hybrid working model
- JobRad® Bike Lease
About the company
Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training. They are building models in Heidelberg that understand German and meet European regulatory requirements.