NVIDIA AI
Santa Clara / Global
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Santa Clara / Global
The role involves owning the architecture and roadmap for a shared platform dedicated to classical testing, scientific benchmarking, and agentic evaluation. You will design infrastructure and operate heterogeneous GPU capacity to create reproducible quality signals and production-readiness gates.
Candidates need a BS or MS in Computer Science or a related field with over 5 years of industry experience in production C++ and Python. Proficiency in Linux, containerization, and GPU compute schedulers like Slurm or Kubernetes is required.
C++, Python, Linux, Git, GitHub/GitLab Pipeline Orchestration, CMake, Docker, Python Packaging, Slurm, Kubernetes, CUDA, Distributed Systems, Scientific Benchmarking, LLM Evaluation, Nsight Profiling, PyTorch
Equity, Generous benefits package
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