1 day ago
Base Salary
$144k - $230k/yr
Responsibilities
- Build and deploy AI/ML tools that analyze production signals, metrics, and logs for incident root-cause analysis and operational trend prediction.
- Develop LLM- and agent-based systems to improve operational efficiency.
- Build and maintain large-scale data pipelines for model development and production data management.
- Enhance LLM-based pipelines and apply current LLM advances to product development.
- Evaluate AI frameworks, platforms, toolsets, and architectures for long-term technical sustainability.
- Apply monitoring and visualization tools to production data.
Requirements
- Bachelor’s degree in Computer Science, Statistics, or Engineering, or equivalent experience, with 5+ years of experience.
- Strong Python proficiency; Go or another systems language is a plus.
- Hands-on experience building, optimizing, and deploying AI tools.
- Strong knowledge of LLM platforms, AI developments, and AI system optimization.
- Experience with Kubernetes, AWS cloud environments, automation, and large-scale data pipelines.
- Experience with monitoring and visualization tools such as Grafana.
- Understanding of SRE principles and production environment management is preferred.
- Knowledge of LLM improvement pipelines and recent LLM training developments is preferred.
Benefits
- Competitive salary package, equity, and benefits.
- Expected base salary range of 144,000 USD–230,000 USD.
- Applications accepted at least until November 4, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.