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Veeda AI
Candidates need a bachelor's degree or equivalent hands-on experience in computer science or a related field. They need deep experience with PyTorch and large multi-node parallelism, and fluency in Python and C++/CUDA.
PyTorch, Megatron-Core, FSDP2, Nsight Systems, Nsight Compute, CUDA
LoiZéro
3+ YOEDiplôme en informatique ou génie logiciel requis; maîtrise ou doctorat préféré; Plus de 3 ans d'expérience en frameworks d'entraînement ML distribué; Expérience avec Megatron, DeepSpeed, FSDP, vLLM ou similaires
Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, verl
Kraken
5+ YOECandidates need 5+ years of infrastructure engineering experience, including GPU or ML infrastructure in production. They also need Kubernetes and Linux skills, Python, experience with serving frameworks such as vLLM or Triton, and a track record of controlling compute costs.
Kubernetes, Linux, Python, vLLM, Triton Inference Server, TensorRT
LawZero
3+ YOECandidates need a relevant computer science degree and 3+ years designing distributed ML training frameworks, including recent use of Megatron, DeepSpeed, FSDP or vLLM. Experience with cloud platforms, Ray or SLURM, GPU profiling, Docker or Kubernetes, and deep learning research is also expected.
Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, verl
4 companies