System & Embedded Engineer for AI Inference — Remote

Jobgether; Oregon; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive pay

Comprehensive benefits

Flexible spending

Employee recognition

Collaborative environment

Innovative work

Distributed teams

Professional growth

Job summary

Jobgether is seeking a System Software / Embedded Engineer based in the United States to design and optimize low-level software for AI inference platforms. You will work at the intersection of hardware, silicon, firmware, and systems engineering in a data-center setting.

You will develop debugging and profiling tools, work with PCIe/I2C/SPI/JTAG interfaces, and collaborate with hardware and validation teams to ensure robust, production-ready software with energy-efficient performance.

Qualifications

• 5+ years building low-level systems software and embedded firmware for HPC/data-center systems.
• Proficient in Linux kernel, drivers, and embedded Linux/RTOS environments.
• Experience with SoC bring-up is highly desirable.

Responsibilities

• Develop system-level software, services, tools, and tests for AI inference platforms.
• Build and debug embedded systems including firmware, BSPs, device drivers, and kernel modules.
• Collaborate with hardware, silicon, and validation teams to bring up and validate platforms.
• Create debugging and profiling capabilities to improve performance and power efficiency.
• Ensure robust, production-quality software and tests for data-center deployments.

Skills

C/C++ programming

Python scripting

Bash/Shell

Rust (advantage)

Education

Bachelor's or Master's in EE/CS

Tools

JTAG debuggers

Logic analyzers

Oscilloscopes

Job description

Jobgether is seeking a System Software / Embedded Engineer based in the United States to design and optimize low-level software for AI inference platforms. You will work at the intersection of hardware, silicon, firmware, and systems engineering in a data-center setting.

You will develop debugging and profiling tools, work with PCIe/I2C/SPI/JTAG interfaces, and collaborate with hardware and validation teams to ensure robust, production-ready software with energy-efficient performance.