Edberto Gonzalez, SVP and Managing Director for the Semiconductor & High-Tech vertical at Qubika, explains how the firm positions itself as “AI-native” product and embedded engineering, spanning firmware, OS-level work, and modern data/AI delivery. He frames Qubika as a nearshore engineering partner with roughly 800 engineers across Latin America, with hubs including Austin and Montevideo, aimed at accelerating software and platform development without losing control of IP or security. https://qubika.com/
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A key theme is talent density and execution at scale: Qubika draws from multiple LATAM markets (with Brazil called out for depth), then applies that capacity across vertical teams in healthcare, fintech, media, and semiconductor/high-tech. The “sandwich” metaphor is about serving both Fortune 500 programs and early-stage product teams, using the same engineering discipline: architecture, delivery processes, and hardening paths that translate from prototype to production at scale.
On the semiconductor side, he points to pre- and post-silicon engagement: firmware development that sits close to the chipset, plus validation workflows that span simulation and testing environments before hardware is fully available. In practice that usually means tight loops around bring-up, boot-chain readiness, integration/verification, and regression automation using CI/CD pipelines, with pre-silicon execution happening via simulators, emulators, and virtual platforms to catch issues earlier in the cycle before tapeout.
“AI-native” is described less as a single product and more as an operating model: every engineering service line uses AI tooling to improve throughput, and Qubika also builds custom LLM and agentic systems for customers that must stay behind a firewall (private deployment, security-first controls, and enterprise governance). The conversation was recorded on the Embedded World North America 2025 show floor in Anaheim.
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