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Job summary
A leading technology company in Santa Clara is looking for a Solutions Architect to partner with various teams and clients. This role involves understanding technical needs, adopting NVIDIA technologies, and analyzing AI workloads on Kubernetes. The ideal candidate has a strong educational background and extensive experience with deep learning frameworks like PyTorch and TensorFlow, and excellent programming skills in Python. Key responsibilities include collaboration and customer engagement, along with potential travel.
Qualifications
8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow.
Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management.
Experience with containerization and orchestration technologies.
Responsibilities
Partnering with solution architects and teams to define high-value solutions.
Engaging with developers, scientific researchers, and data scientists.
Working closely with customers to adopt and build creative solutions.
Skills
Deep Learning frameworks
Python programming
Problem-solving and debugging skills
GPU orchestration
Containerization and orchestration
LLM and DL inference
Presentation and communication skills
Education
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics or related fields
Tools
PyTorch
TensorFlow
Kubernetes
NVIDIA GPUs
Job description
A leading technology company in Santa Clara is looking for a Solutions Architect to partner with various teams and clients. This role involves understanding technical needs, adopting NVIDIA technologies, and analyzing AI workloads on Kubernetes. The ideal candidate has a strong educational background and extensive experience with deep learning frameworks like PyTorch and TensorFlow, and excellent programming skills in Python. Key responsibilities include collaboration and customer engagement, along with potential travel.