AI Runtime Engineer

3 weeks ago

New Delhi, India Capgemini Engineering Full time

AI Runtime Engineer Location: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 Role As anAI 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 implementdistributed AI runtime systemswith elastic scaling and job recovery. Optimizeperformance at low levels(CUDA, NCCL, PyTorch internals) for multi-GPU workloads. Developcustom runtime architecturesfor large-scale AI training pipelines. Integrate orchestration tools likeKubernetes, Ray, TorchElastic, Horovodfor containerized AI workloads. Implementfault recovery mechanismsand observability hooks for runtime health monitoring. Collaborate with AI researchers and platform engineers to ensure efficient resource utilization and throughput optimization. Contribute toCI/CD pipelinesfor AI infrastructure and runtime deployments.Your ProfileMandatory Skills: Hands-on experience indistributed training systems , multi-node/multi-GPU orchestration. Expertise inPyTorch internals , CUDA, NCCL, and performance profiling. Strong knowledge ofKubernetes , containerization, and orchestration frameworks. Preferred Skills: Experience withTorchElastic , Ray, Horovod. Open-source contributions to PyTorch or runtime libraries. Background inHPC, compilers, or systems research .Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field.

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