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NVIDIA AI is seeking a senior engineer to own 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 produce reproducible quality signals and ensure production readiness gates.
The role requires a BS or MS in computer science with 5+ years in production C++ and Python, plus strong Linux, containerization, and GPU scheduling skills
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