Position Details
About this role
This role involves developing high-performance deep learning frameworks and tools using JAX, focusing on optimizing models and training across distributed systems for NVIDIA's AI platform.
Key Responsibilities
- Develop JAX core components
- Optimize deep learning training
- Build scalable AI tools
- Collaborate with research teams
- Bridge research and production
Technical Overview
The position requires expertise in Python, C++, deep learning frameworks (PyTorch, TensorFlow, scikit-learn), JAX, distributed systems, and performance tuning for large-scale AI applications.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with over 6 years of experience in deep learning frameworks, proficient in C++ and Python, with expertise in distributed training, JAX, and system design for high-performance AI platforms.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 6 years of relevant experience, Lack of experience with deep learning frameworks or distributed training, No background in system design or performance optimization
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