1 day ago
Responsibilities
- Build and deploy custom AI solutions, distributed training systems, inference optimizations, and MLOps pipelines on NeoCloud platforms and NVIDIA Cloud Partners.
- Serve as the primary technical contact for internal and external customers and partners, guiding engagements and resolving complex production problems.
- Collaborate with teams developing infrastructure software and accelerated frameworks for AI applications.
- Profile and tune large-scale training and inference workloads to reduce latency, cost, and operational risk.
- Develop open-source tools and reference architectures for managing machine learning and AI workloads at scale.
- Support LLM performance evaluation and new hardware integration in open-source frameworks.
Requirements
- Bachelor’s, master’s, or doctoral degree in computer science, computer/electrical engineering, or a related technical field, or equivalent experience.
- At least 8 years of technical experience in data science, data engineering, ML engineering, or similar roles focused on large-scale production systems.
- AI/ML experience spanning exploratory analysis through production systems.
- Knowledge of Linux, batch schedulers, Kubernetes, distributed filesystems, and datacenter-scale networking.
- Strong scripting and programming skills in Bash and Python, plus systems programming experience with C++, Go, or Rust.
- Experience using machine learning or deep learning frameworks for training and inference.
- Strong communication, technical presentation, architecture, trade-off, and recommendation skills.
- Preferred experience includes open-source contributions, NVIDIA technologies, distributed training and inference frameworks, security-critical ML systems, cloud-native MLOps, and cross-layer performance troubleshooting.
Benefits
- Competitive salary and a generous benefits package.
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About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.