KX operates a time-series and streaming data platform built on kdb+, used across investment banking, aerospace, manufacturing, and life sciences for real-time analytics at scale. The company is heavily investing in GPU compute integration (CUDA, OpenCL, NVIDIA profiling tools) and multi-cloud security hardening — a shift toward compute-intensive workloads and platform resilience. Hiring skews senior (8 of 12 roles) across engineering, security, and support, with active recruitment across five countries, reflecting both technical depth requirements and geographic expansion.
KX provides a time-series analytics platform purpose-built for organizations handling massive, time-ordered datasets where speed and accuracy are competitive advantages. The platform serves investment banks, aerospace and defense contractors, manufacturers, healthcare, and automotive companies — sectors where millisecond latency and data completeness directly impact operational decisions and AI model quality. The company was founded in 1996 and is publicly traded. With 501–1,000 employees based primarily in New York, KX maintains a global hiring footprint across the UK, Ireland, Australia, Singapore, and Canada.
KX develops a time-series analytics platform centered on kdb+, optimized for streaming data, big numerical datasets, and real-time analytics across high-frequency trading, aerospace, and manufacturing sectors.
KX runs on Windows, macOS, Linux, and mobile (iOS/Android), with cloud infrastructure on AWS, Azure, and GCP. Internally they use Microsoft 365 ecosystem (Teams, SharePoint, Azure AD), NVIDIA GPU tools (CUDA, Nsight), and C/C++ for core platform development.
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