Backed by Lux.
About the role
Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us! Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience with custom accelerators, GPUs, NPUs, SmartNICs, DPUs, or other complex SoCs
- Low-level firmware experience, especially privilege modes, control/status registers, traps, memory protection, virtual memory, multi-core boot, or hardware debug support
- Linux driver or userspace driver/runtime experience, including ioctl/mmap APIs, DMA, IRQ handling, polling vs interrupt tradeoffs, and zero-copy paths
- Experience with hardware trace and performance infrastructure such as ARM CoreSight, ETM/ETF/ETR, ATB funnels, hardware PMUs, trace encoders, or similar SoC observability systems
- Experience designing queue protocols, command buffers, completion queues, doorbells, synchronization objects, or low-latency producer/consumer systems
- Experience with simulator and silicon bring-up: QEMU, virtual platforms, SystemC, RTL simulation, FPGA/prototyping, or first-silicon debug
More about this role
We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.
Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!
We’re looking for a systems software engineer to work on the lowest layers of that stack: the runtime, firmware, and device software that sit between high-level AI workloads and custom accelerator hardware. You’ll help build the software responsible for device bring-up, kernel dispatch, memory mapping, queueing, synchronization, performance monitoring, and debug infrastructure.
This is not a conventional embedded firmware role. The work spans firmware, operating-system interfaces, simulator bring-up, accelerator runtime design,...
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