Member of Technical Staff, System Software (Runtime & Firmware)

unconventionalinc; EE. UU.; A distancia; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health coverage

401k matching

Truly unlimited PTO

Complimentary meals

On-site Mountain View office

Descripción de la vacante

Unconventionalinc is seeking a senior embedded systems software engineer to join a small, multi-disciplinary R&D team. You will help build the system software stack for a new class of AI compute hardware, bridging runtime software on Linux hosts and bare-metal firmware on SoCs.

You will own driver development, on-device firmware bring-up, and cross-boundary protocols, collaborating with AI, system modeling, and hardware teams, including early customers, as we scale the platform in Mountain View.

Formación

• B.S. or M.S. in Electrical Engineering, Computer Engineering, or Computer Science.
• 7+ years of industry experience in embedded firmware, driver development, or hardware-adjacent systems software.
• Hands-on silicon or hardware bring-up from power-on to running real workloads.
• Expertise in C/C++ on embedded processors and Linux drivers (PCIe/USB/UART/SPI).
• Strong Python engineering and firmware/host software coordination experience.

Responsabilidades

• Build the runtime layer that executes models on the target machine across simulation and silicon.
• Design and implement bare-metal firmware for the on-device embedded processor.
• Develop and maintain drivers across host/device boundaries and define protocol interfaces.
• Lead post-silicon software bring-up and feed hardware behavior back into models.
• Collaborate with AI, system modeling, and hardware teams including early customers.

Conocimientos

C/C++ (embedded)

Python

Linux drivers

Hardware bring-up

Educación

B.S. or M.S. in Electrical Engineering / Computer Engineering / Computer Science

Herramientas

PCIe

USB

UART

SPI

Descripción del empleo

Role overview

Join a small, multi-disciplinary R&D team building the system software stack for an entirely new class of AI compute hardware.

The work sits at the intersection of runtime software on Linux hosts and bare-metal firmware on system-on-chips, integrating novel compute fabrics with custom silicon through a philosophy of extreme hardware/software co-design. The role spans bring-up of prototype chips through scaling a working platform to early customers.

Responsibilities

• Build the runtime layer that executes compiled models on the target machine, including dispatch, data movement, and result readback, with one runtime that runs unchanged on both simulation models and real silicon.
• Design and implement bare-metal firmware for the on-device embedded processor, covering model scheduling, device sequencing, and calibration routines.
• Develop and maintain drivers on both sides of the host/device boundary and define the protocol between them, including the host-side hardware abstraction layer.
• Lead post-silicon software bring-up alongside the hardware team, own the software driving test chips, and feed measured hardware behavior back into simulation models.
• Collaborate with AI, system modeling, and hardware teams as well as early customers to deliver and support prototype hardware as the platform scales.

Requirements

• B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field, plus 7+ years of industry experience in embedded firmware, driver development, or hardware-adjacent systems software.
• Demonstrated hands-on experience with at least one silicon or hardware bring-up taken from power-on to running real workloads.
• Expertise in C/C++ on embedded processors, including interrupts, DMA, memory-mapped registers, and boot and flash paths.
• Experience developing Linux drivers in kernel or user space, with depth in at least one of PCIe, USB, UART, or SPI, and comfort designing robust protocols over imperfect physical links.
• Strong Python engineering, plus the versioning discipline needed when firmware, drivers, and host software ship independently.
• Ability to triage anomalies across silicon, board, firmware, and software, correlate measured behavior against simulation models, and communicate complex technical ideas from algorithms down to circuits.

Nice to have

• Experience building runtime or driver layers for AI accelerators, NPUs, or GPUs, including kernel dispatch, queueing, and memory management.
• Background in instruction encoding, microcode, or control-flow sequencing for non-CPU compute engines.
• Hands-on FPGA and SOC prototyping, including RTL development, timing closure, and prototype board bring-up.
• Familiarity with cloud infrastructure, virtualization, containerization, or hardware-attached services.
• Exposure to analog, mixed-signal, or other physics-based computing paradigms.

Benefits and work setup

• Foundational-team impact on a platform aimed at orders-of-magnitude efficiency gains for AI compute.
• Comprehensive benefits package including health coverage, 401k matching, truly unlimited PTO, and complimentary meals.
• On-site work in a Mountain View office as part of a deeply collaborative R&D environment tackling unsolved, cross-disciplinary problems.