Job Description
About the Role
NVIDIA’s AI Research division seeks a Chief Machine Learning Engineer to lead cutting-edge projects in generative AI and deep learning. You will pioneer solutions that power next-generation GPUs, healthcare innovations, and autonomous systems.
Responsibilities
- Design and deploy scalable ML models for computer vision and NLP applications
- Collaborate with hardware teams to optimize CUDA-based algorithms
- Lead cross-functional R&D initiatives across robotics and metaverse platforms
- Architect cloud-native AI pipelines using Kubernetes and TensorFlow Serving
- Publish research papers and present at conferences like NeurIPS
Requirements
- PhD in Computer Science with 10+ years ML engineering experience
- Expert in PyTorch, TensorFlow, and distributed systems
- Proven track record deploying models at enterprise scale
- Deep knowledge of transformer architectures and reinforcement learning
- Preferred: Contributions to Open Source AI frameworks
Benefits
- $250k stock option grants vesting over 4 years
- Fully paid health/dental/vision for entire family
- Flexible hybrid work model with 4 weeks PTO
- Access to DGX Superpod clusters for research
- Annual $15k innovation fund for personal projects
About the Company
NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing, powering breakthroughs in AI, HPC, and graphics. Our 25,000 employees globally drive innovation across industries from healthcare to autonomous vehicles.
Job ID: chief-machine-learning-engineer-006
