GPU-accelerated computing β’ artificial intelligence β’ deep learning β’ virtual reality β’ gaming
10,000+
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πΊπΈ United States β Remote
π΅ $148k - $276k / year
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
GPU-accelerated computing β’ artificial intelligence β’ deep learning β’ virtual reality β’ gaming
10,000+
β’ Design and Implement features for AI communication middleware and networking libraries to improve performance, resiliency and scalability. β’ Develop features for libraries such as NCCL, Open MPI, UCX, UCC, NVSHMEM, and VERBS β’ Develop features for Deep Learning frameworks such as PyTorch and TensorFlow β’ Creating proofs-of-concept to evaluate and motivate extensions in AI Frameworks (PyTorch/NEMO), HPC programming models (MPI, OpenSHMEM, PGAS), new runtime designs, and new network hardware features.
β’ A Bachelors. or Masters, in computer science, computer engineering, or a closely related field or equivalent experience. β’ 5+ years of experience in parallel programming models, and/or network architecture. β’ Background in algorithm design, system programming, and computer architecture β’ Strong programming and software development skills β’ Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment
β’ Competitive salaries β’ Generous benefits package β’ Eligibility for equity
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