
11 - 50 Mitarbeiter
🤖 Künstliche Intelligenz
🔧 Hardware
⚡ Energie
Artificial Intelligence • Hardware • Energy
Unconventional AI überdenkt die Grundlagen eines Computers, um die Energieeffizienz für KI zu optimieren. Gegründet von Experten in KI-Systemen, analogen Schaltungen, Computer-Theorie und Neurowissenschaften, hat sich das Unternehmen zum Ziel gesetzt, die Effizienz von biologischen Systemen auf die künstliche Intelligenz zu übertragen. Dies soll durch die Neugestaltung von Computerarchitekturen und Hardware geschehen, um den Energieverbrauch für KI-Lasten zu reduzieren.
🕒 vor 7 Tagen
🗣️🇺🇸🇬🇧 Englisch erforderlich
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11 - 50 Mitarbeiter
🤖 Künstliche Intelligenz
🔧 Hardware
⚡ Energie
Artificial Intelligence • Hardware • Energy
Unconventional AI überdenkt die Grundlagen eines Computers, um die Energieeffizienz für KI zu optimieren. Gegründet von Experten in KI-Systemen, analogen Schaltungen, Computer-Theorie und Neurowissenschaften, hat sich das Unternehmen zum Ziel gesetzt, die Effizienz von biologischen Systemen auf die künstliche Intelligenz zu übertragen. Dies soll durch die Neugestaltung von Computerarchitekturen und Hardware geschehen, um den Energieverbrauch für KI-Lasten zu reduzieren.
• Build the runtime that executes compiled models on the machine, covering dispatch, data movement, and result readback • Ensure one runtime targets both the simulated system model and real silicon so programs run on either unchanged • Design and implement bare-metal firmware on the on-device embedded processor, covering model execution and scheduling, device sequencing, and calibration • Build and maintain drivers on both sides of the host/device boundary and the protocol between them • Develop the host-side hardware abstraction layer and maintain compatibility when firmware and host software ship independently • Lead post-silicon software bring-up alongside the Hardware team • Own the software that drives test chips and close the loop between measured hardware behavior and simulation models • Collaborate with AI, System Modeling, and Hardware teams and first customers to deploy and maintain prototype hardware as the platform scales
• B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field • 7+ years of industry experience in embedded firmware, driver development, or hardware-adjacent systems software • At least one bring-up of new or prototype silicon and hardware taken from power-on to running real workloads • Expertise in C/C++ on embedded processors, including interrupts, DMA, memory-mapped register access, and boot and flash paths • Experience developing Linux drivers in kernel or user space • Demonstrated depth in at least one of PCIe, USB, UART, or SPI • Experience designing robust protocols over an imperfect physical link • Strong Python engineering alongside C/C++ • Versioning discipline required when firmware, drivers, and host software each ship independently • Ability to identify, triage, and solve anomalies across silicon, board, firmware, and software • Ability to correlate measured behavior against simulation models • Excellent ability to communicate complex technical concepts to diverse teams across the full stack from algorithms to circuits
• Best-in-class health benefits • 401k matching • Truly unlimited PTO • Complimentary meals in the Mountain View office • Massive ownership and an outsized opportunity to drive change
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Angular
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Gradle
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Java
JavaScript
Kotlin
Maven
Microservices
Postgres
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SDLC
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