
Principal Performance Engineer (Database & AI Benchmarking)
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Performance Engineer (Database & AI Benchmarking) in India.
In this role, you will define and drive the performance engineering strategy for large-scale database and AI systems, ensuring predictable, measurable, and optimized performance across complex workloads. You will design and own benchmarking frameworks that evaluate both traditional database systems and modern AI pipelines, including inference and data processing workflows. The position plays a critical role in identifying system bottlenecks, shaping architectural decisions, and influencing product direction through deep performance insights. You will collaborate closely with engineering, product, and field teams to establish performance standards and ensure systems meet strict scalability and reliability expectations. The environment is highly technical and research-driven, combining systems engineering, database internals, and AI performance optimization. This is a senior individual contributor role with broad influence across product and engineering organizations.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Performance Engineer (Database & AI Benchmarking) in India.
In this role, you will define and drive the performance engineering strategy for large-scale database and AI systems, ensuring predictable, measurable, and optimized performance across complex workloads. You will design and own benchmarking frameworks that evaluate both traditional database systems and modern AI pipelines, including inference and data processing workflows. The position plays a critical role in identifying system bottlenecks, shaping architectural decisions, and influencing product direction through deep performance insights. You will collaborate closely with engineering, product, and field teams to establish performance standards and ensure systems meet strict scalability and reliability expectations. The environment is highly technical and research-driven, combining systems engineering, database internals, and AI performance optimization. This is a senior individual contributor role with broad influence across product and engineering organizations.