Position Details
About this role
This role focuses on optimizing large-scale foundation models for robotics applications, leveraging NVIDIA GPU tools and deep learning techniques to enhance inference performance.
Key Responsibilities
- Optimize transformer models
- Collaborate with scientists
- Implement benchmarking
- Develop deployment pipelines
- Improve inference efficiency
Technical Overview
The position involves working with CUDA, TensorRT, and other NVIDIA tools to develop, benchmark, and deploy high-performance AI models, particularly transformer-based architectures for robotics.
Ideal Candidate
The ideal candidate is a senior machine learning engineer with expertise in GPU-based model optimization, deep learning, and transformer architectures, preferably with experience in robotics applications and NVIDIA tools.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with CUDA or TensorRT, No background in deep learning or transformer models, Inability to work in Seattle, Lack of collaboration skills
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