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Ik wil de nieuwste vacature-alerts ontvangen voor de functie van developer llm

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Research Engineer (LLM Training and Performance)

JetBrains -
Amsterdam

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Vacaturegegevens

Kwalificaties

Azure
Node.js
Kubernetes
PyTorch
Google Cloud Platform
Master
C++
Debuggen

Volledige vacaturetekst

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We’re looking for a Research Engineer who will own the training stack and model architecture for our Mellum LLM family. Your job is easier said than done: make training faster, cheaper, and more stable at a large scale. You’ll profile, design, and implement changes to the training pipeline – from architecture to custom GPU kernels, as needed.

As part of our team, you will:

Be responsible for improving end-to-end performance for multi-node LLM pre-training and post-training pipelines.
Profile hotspots (Nsight Systems/Compute, NVTX) and fix them using compute/comm overlap, kernel fusion, scheduling, etc.
Design and evaluate architecture choices (depth/width, attention variants including GQA/MQA/MLA/Flash-style, RoPE scaling/NTK, and MoE routing and load-balancing).
Implement custom ops (Triton and/or CUDA C++), integrate via PyTorch extensions, and upstream when possible.
Push memory/perf levers: FSDP/ZeRO, activation checkpointing, FP8/TE, tensor/pipeline/sequence/expert parallelism, NCCL tuning.
Harden large runs by building elastic and fault-tolerant training setups, ensuring robust checkpointing, strengthening reproducibility, and improving resilience to preemption.
Keep the data path fast using streaming and sharded data loaders and tokenizer pipelines, as well as improve overall throughput and cache efficiency.
Define the right metrics, build dashboards, and deliver steady improvements.
Run both pre-training and post-training (including SFT, RLHF, and GRPO-style methods) efficiently across sizable clusters.

We’ll be happy to bring you on board if you have:

Strong PyTorch and PyTorch Distributed experience, having run multi-node jobs with tens to hundreds of GPUs.
Hands-on experience with Megatron-LM/Megatron-Core/NeMo, DeepSpeed, or serious FSDP/ZeRO expertise.
Real profiling expertise (Nsight Systems/Compute, nvprof) and experience with NVTX-instrumented workflows.
GPU programming skills with Triton and/or CUDA, and the ability to write, test, and debug kernels.
A solid understanding of NCCL collectives, as well as topology and fabric effects (IB/RoCE), and how they show up in traces.

Our ideal candidate would have experience with:

FlashAttention-2 and 3, CUTLASS and CuTe, TransformerEngine and FP8, Inductor, AOTAutograd, and torch.compile.
MoE at scale (expert parallel, router losses, capacity management) and long-context tricks (ALiBi/YaRN/NTK scaling).
Kubernetes or SLURM at scale, placement and affinity tuning, as well as AWS, GCP, and Azure GPU fleets.
Web-scale data plumbing (streaming datasets, Parquet and TFRecord, tokenizer perf), eval harnesses, and benchmarking.
Safety and post-training methods, such as DPO, ORPO, GRPO, and reward models.
Inference ecosystems such as vLLM and paged KV.

#LI-KP1

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developer llm vacatures

Research Engineer (LLM Training and Performance)

AI Developer - LLM Applications

AI Developer in Test

Platform Engineer - Developer Platform

AI Consultant | LLM, RAG & Machine Learning

AI Product Manager

AI Agent Developer

Junior business analist

AI Engineer

Staff Research Engineer (LLM Pre-Training)

Frontend Engineer

Quant Developer

AI Developer

Agentic Platform Engineer

AI Product Engineer - ClickStack

Staff/Lead Backend Engineer (FastAPI, High-Throughput)

AI Builder, Emerging Talent - BNL Market

Staff AI Engineer

AI Builder, Emerging Talent - Swiss Market

AI Engineer

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van developer llm

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As part of our team, you will:

We’ll be happy to bring you on board if you have:

Our ideal candidate would have experience with:

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