Staff Engineer: AI Benchmarking & Performance Systems
Saigepartners
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Job summary
Saigepartners is seeking a Staff Engineer specialized in AI Workload Benchmarking to be based in San Jose, California. The role involves aligning benchmarking insights to product roadmaps and enabling next-generation AI infrastructure solutions.
The ideal candidate holds a degree in Computer Science or a related field, with significant experience in systems performance engineering and hands-on knowledge of AI/ML workloads. Compensation is between $65-75 per hour.
Qualifications
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; advanced degree preferred.
- Professional experience in systems performance engineering, storage performance, or AI infrastructure benchmarking.
- Demonstrated expertise with NVMe SSDs and storage stack performance analysis.
- Hands-on experience with AI/ML workloads and frameworks.
- Strong proficiency with Linux performance and tracing tools.
Responsibilities
- Align benchmarking insights to product roadmaps.
- Enable next-generation AI infrastructure solutions.
- Deliver structured technical reports and benchmark artifacts.
Skills
Education
Tools
Job description
Saigepartners is seeking a Staff Engineer specialized in AI Workload Benchmarking to be based in San Jose, California. The role involves aligning benchmarking insights to product roadmaps and enabling next-generation AI infrastructure solutions.
The ideal candidate holds a degree in Computer Science or a related field, with significant experience in systems performance engineering and hands-on knowledge of AI/ML workloads. Compensation is between $65-75 per hour.
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