• Software Engineering Manager, MTIA

    Meta (New York, NY)
    …working on high performance computing (HPC) and AI/ML systems, including: GPU /ASIC-based kernel development and optimization (eg CUDA, ROCm), distributed systems for ... and serving, and systems architecture and performance 11. Accelerator ( GPU /ASIC) kernel development and optimization 12. Experience in accelerating libraries… more
    Meta (09/06/25)
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  • Software Engineer, Systems

    Meta (Albany, NY)
    …standards, especially in the field of 3D models, Graphics APIs and GPU programming 15. 3. Developing high-performance rendering solutions with a modern graphics ... API including Metal and Vulkan 16. 4. Writing high-performance GPU programs with a GPU programming language (shading language) 17. 5. Experience owning a… more
    Meta (09/26/25)
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  • Senior Solutions Architect, Financial Services…

    NVIDIA (NY)
    …learning models to ensure the best performance on current- and next-generation GPU architectures. + Work directly with client ML researchers and developers/engineers ... algorithms, alongside experience performing performance optimizations. + Familiarity with NVIDIA GPU architectures. + GPU Development experience through NVIDIA… more
    NVIDIA (07/16/25)
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  • Director, Data Science - Customer Core Specialist…

    Capital One (New York, NY)
    …years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster + At least 5 years of experience working with AWS or ... equivalent GPU Clusters + At least 5 years of experience in PyTorch/Tensorflow Capital One will consider sponsoring a new qualified applicant for employment… more
    Capital One (10/04/25)
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  • Intern 2026: AI Hybrid Cloud Platform Research…

    IBM (Yorktown Heights, NY)
    …Kubernetes, Kserve, and explores optimizations across the entire stack from GPU networking, model scheduling serving, AI platform optimization including inference ... like vllm, llm-d, and KServe * Research or development experience in GPU networking and large-scale acceleration * Research or development experience in Inference… more
    IBM (09/19/25)
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  • Senior Manager, Data Science - GenAI Digital…

    Capital One (New York, NY)
    …years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster + At least 3 years of experience working with AWS or ... equivalent GPU Clusters + At least 5 years of experience in PyTorch/Tensorflow Capital One will consider sponsoring a new qualified applicant for employment… more
    Capital One (09/14/25)
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  • Senior Software Engineer - Machine Learning

    General Motors (Albany, NY)
    …modern C++ or Python **Bonus:** + Experience with profiling CPU and/or GPU software, process scheduling, and prioritization + Passionate about self-driving car ... in modern C++ or Python + Experience with profiling CPU and/or GPU software, process scheduling, and prioritization + Passionate about self-driving car technology… more
    General Motors (09/13/25)
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  • Product Management Leader, AI

    Teradata (Albany, NY)
    …with AI infrastructure - including distributed training, inference optimization, GPU /accelerator integration, and workload orchestration. + Experience defining APIs, ... ensuring cost-efficiency and performance at scale. + Hands-on knowledge of GPU , TPU, and emerging accelerator technologies for training, inference, and fine-tuning… more
    Teradata (09/12/25)
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  • Lead Data Scientist, Document Intelligence & AI…

    Guardian Life (New York, NY)
    …latency/cost) with automated regression tests. + Optimize compute and inference ( GPU /distributed, caching/batching, model routing) for cost and performance. + Embed ... and proficiency in data/ML engineering patterns (eg, Spark or Ray) and ** GPU /distributed computing** . + **MLOps proficiency** : CI/CD for models and prompts,… more
    Guardian Life (08/22/25)
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  • AI Security Engineer, Manager

    Deloitte (New York, NY)
    …controls throughout the AI/ML lifecycle (data handling, training with GPU isolation, deployment, monitoring, versioning, provenance). Integrate SAST/DAST for ML ... Vault, Azure ML security). + Securing MLOps/LLMOps pipelines (data versioning, provenance, GPU isolation). + Security frameworks (OWASP AI Security & Privacy Guide).… more
    Deloitte (08/08/25)
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