Firmware Engineer for AI Accelerator Hardware

Neurophos Inc.; Austin (TX); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health plan coverage

Unlimited PTO

401(k) matching & stock options

Voluntary benefits

Personalized benefits

Job summary

Neurophos Inc. in Austin, TX seeks a Firmware Engineer to join our engineering team focused on low-level firmware for our novel LLM accelerator hardware.

You will develop code that directly controls our hybrid optical-electronic compute hardware, ensuring reliable operation and peak performance. The role requires 3–5 years of experience in firmware or embedded systems, expert C++ and Python, and a passion for cutting-edge AI hardware.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• 3–5 years of professional experience in firmware engineering, embedded systems, or low-level systems programming.
• High proficiency in embedded C++ and Python for tooling and automation.
• Experience with embedded systems programming and hardware interfaces.

Responsibilities

• Contributing to low-level firmware to orchestrate execution of LLM workloads across hardware accelerator components.
• Collaborate with hardware engineers to define software–hardware interfaces.
• Create debugging and profiling tools for firmware and hardware interaction.
• Optimize end-to-end performance from application layer to hardware execution.
• Develop comprehensive testing and validation frameworks.
• Create documentation and specifications for firmware interfaces.
• Support customer integration and provide technical guidance.

Skills

Embedded C++

Python

Hardware interfaces

System architecture

Parallel computing

Education

Bachelor's degree in CS/EE

Tools

Docker

Git

Cross-compiler toolchains

Job description

Neurophos Inc. in Austin, TX seeks a Firmware Engineer to join our engineering team focused on low-level firmware for our novel LLM accelerator hardware.

You will develop code that directly controls our hybrid optical-electronic compute hardware, ensuring reliable operation and peak performance. The role requires 3–5 years of experience in firmware or embedded systems, expert C++ and Python, and a passion for cutting-edge AI hardware.