System Software / Embedded Engineer

United StatesRemoteFull-timemid

EngineeringEmbedded Engineer

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Quick Summary

Key Responsibilities

Develop system-level software: Gather

Requirements Summary

Work on firmware, board bring-up, bootloaders, board support packages (BSPs), device drivers, and Linux kernel modules. Support hardware and silicon bring-up: Collaborate with hardware, silicon,

Technical Tools

EngineeringEmbedded Engineer

The System Software / Embedded Engineer will develop and optimize low-level software powering next-generation AI inference platforms. This role sits at the intersection of hardware, silicon, firmware, and systems engineering, contributing to high-performance, energy-efficient infrastructure for multimodal generative AI. You will design system-level services, development tools, and testing capabilities while supporting hardware bring-up and platform validation. Working closely with hardware, silicon, and validation teams, you will help ensure robust, production-ready software for demanding data center environments. Your work will also focus on debugging, profiling, and optimizing system performance and power consumption. This is an opportunity to contribute to cutting-edge AI infrastructure within a fast-paced, collaborative engineering environment based in Sunnyvale, California, with flexibility for remote collaboration across North America and Europe.

As a System Software / Embedded Engineer, you will contribute to the design, development, validation, and optimization of platform software for advanced AI inference systems. Your responsibilities will include:

Requirements

~1 min read

The ideal candidate combines strong embedded software engineering expertise with hands-on hardware debugging experience and the ability to work effectively across multiple engineering disciplines. Key qualifications include:

What We Offer

~2 min read

✓Competitive compensation: A competitive compensation package.

✓Comprehensive benefits: Benefits designed to support employees and their families.

✓Flexible spending options: Flexible spending benefits to support individual needs.

✓Employee recognition: Recognition programs that acknowledge contributions and achievements.

✓Collaborative environment: The opportunity to work with talented engineers across software, hardware, and silicon disciplines.

✓Innovative technical work: The opportunity to contribute to high-performance, low-power AI inference systems and emerging generative AI technologies.

✓Flexible collaboration: A distributed working environment with team members across North America and Europe.

✓Professional growth: Opportunities to tackle complex engineering challenges and contribute to ambitious technology development.