Senior AI Infra Engineer: GPU Clusters & Kubernetes
Intelliswift - An LTTS Company
14 days+
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Job summary
A leading AI technology firm in California is seeking an experienced Senior Software Engineer to develop and optimize AI infrastructure software using state-of-the-art GPU systems. Candidates should have a Bachelor's degree in a technical field and a minimum of 5 years of experience in software engineering, especially with AI frameworks. This role involves designing robust software for large-scale AI workloads and collaborating with cross-functional teams to innovate and drive product delivery.
Qualifications
- 5+ years of experience in software engineering and infrastructure development.
- Proven hands-on experience building AI systems.
- Experience with CUDA, vLLM, or advanced inference engines.
Responsibilities
- Design and develop robust systems software for AI workloads.
- Deliver critical components for workload scheduling and orchestration.
- Optimize AI workloads for extreme performance on large-scale GPU systems.
Skills
Python
C/C++
Machine Learning
Deep Learning
Kubernetes
AI/ML frameworks (PyTorch, TensorFlow)
Distributed Systems
AI frameworks
Education
Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
Master's or PhD in Computer Science, AI/ML, or a related discipline
Tools
NVIDIA GB200
TensorRT
MLflow
Kubeflow
Job description
A leading AI technology firm in California is seeking an experienced Senior Software Engineer to develop and optimize AI infrastructure software using state-of-the-art GPU systems. Candidates should have a Bachelor's degree in a technical field and a minimum of 5 years of experience in software engineering, especially with AI frameworks. This role involves designing robust software for large-scale AI workloads and collaborating with cross-functional teams to innovate and drive product delivery.
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