AI Runtime Engineer

1 week ago


bangalore, India Capgemini Engineering Full time

AI Runtime EngineerLocation: Bangalore (or as per requirement)Experience: 7+ yearsChoosing Capgemini means joining a team where you'll be empowered to build cutting-edge AI infrastructure, supported by a collaborative global community, and inspired to reimagine what's possible. Join us in enabling scalable, fault-tolerant AI systems that power next-generation machine learning workloads.Your RoleAs an AI Runtime Engineer, you will design and optimize distributed AI runtimes that enable high-performance, multi-node, multi-GPU training at scale. You'll work closely with AI infrastructure teams to build elastic, fault-tolerant systems and ensure seamless orchestration for advanced AI workloads.In this role, you will:- Architect and implement distributed AI runtime systems with elastic scaling and job recovery.- Optimize performance at low levels (CUDA, NCCL, PyTorch internals) for multi-GPU workloads.- Develop custom runtime architectures for large-scale AI training pipelines.- Integrate orchestration tools like Kubernetes, Ray, TorchElastic, Horovod for containerized AI workloads.- Implement fault recovery mechanisms and observability hooks for runtime health monitoring.- Collaborate with AI researchers and platform engineers to ensure efficient resource utilization and throughput optimization.- Contribute to CI/CD pipelines for AI infrastructure and runtime deployments.Your ProfileMandatory Skills:- Hands-on experience in distributed training systems, multi-node/multi-GPU orchestration.- Expertise in PyTorch internals, CUDA, NCCL, and performance profiling.- Strong knowledge of Kubernetes, containerization, and orchestration frameworks.Preferred Skills:- Experience with TorchElastic, Ray, Horovod.- Open-source contributions to PyTorch or runtime libraries.- Background in HPC, compilers, or systems research.Education:- Bachelor's/Master's in Computer Science, Engineering, or related field.


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