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.
Requirements
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.
Key Skills
C++, Python, Linux, Git, GitHub/GitLab Pipeline Orchestration, CMake, Docker, Python Packaging, Slurm, Kubernetes, CUDA, Distributed Systems, Scientific Benchmarking, LLM Evaluation, Nsight Profiling, PyTorch
Benefits
Equity, Generous benefits package
#J-18808-LjbffrSenior Software Engineer - Scientific Evaluation in santa clara at Unknown Company
This position is listed as full time and onsite.