Senior Software Engineer - Scientific Evaluation

NVIDIA AI

Santa Clara (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Equity
Generous benefits

Job summary

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

Qualifications

  • BS or MS in Computer Science or related field with 5+ years of industry experience in production C++ and Python.
  • Proficiency in Linux, containerization, and GPU compute schedulers like Slurm or Kubernetes.

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

Education

BS/MS in Computer Science

Tools

Docker
Kubernetes
Slurm
CUDA
Nsight Profiling
PyTorch
CMake
Git
GitHub/GitLab Pipeline Orchestration

Job description

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

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