Senior AI Systems Performance Engineer: Drive SOTA Inference
SambaNova
Palo Alto (CA)
On-site
USD 120,000 - 150,000
Full time
14 days+
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Benefits offered by this job
95% premium coverage for employee medical insurance
Health Savings Account with employer contribution
Flexible Spending Account options
Job summary
A leader in AI technology in Palo Alto is seeking a Senior AI Systems Performance Engineer to optimize the latest foundation models on their innovative platform. This role involves collaborating with cross-functional teams to push the performance limits of AI systems. Candidates should have a degree in computer science or related fields and experience in deep learning, performance optimization, and major ML frameworks. This position offers competitive salary and comprehensive benefits.
Qualifications
3+ years of experience in deep learning model development.
Demonstrated ability to analyze and optimize performance in ML pipelines.
Experience with at least one major ML framework.
Responsibilities
Optimize and scale foundation models on SambaNova's platform.
Profile and enhance performance across compiler, runtime, and hardware layers.
Collaborate with teams to deliver high-performance AI applications.
Skills
Deep learning model development and performance optimization
Compiler, runtime, or kernel-level optimization
Proficiency in Python or C++
Analysis and optimization of performance in real-world ML pipelines
Education
Bachelor's or higher degree in computer science, electrical engineering, or a related field
Tools
PyTorch
TensorFlow
CUDA
Job description
A leader in AI technology in Palo Alto is seeking a Senior AI Systems Performance Engineer to optimize the latest foundation models on their innovative platform. This role involves collaborating with cross-functional teams to push the performance limits of AI systems. Candidates should have a degree in computer science or related fields and experience in deep learning, performance optimization, and major ML frameworks. This position offers competitive salary and comprehensive benefits.