← Work Board

Embedded Systems / Kernel Engineer

Mercor

AI Data Advanced AI training platform United States

$100 – $150/hour · as listed

Embedded Systems and Kernel Engineer – AI Development

This is a specialized engineering role within Mercor's remote work platform, designed for advanced developers with deep expertise in embedded systems, kernel development, or low-level software architecture. You'll work part-time (around 20 hours weekly) supporting a leading AI research lab's generative AI initiatives, contributing technical depth to large language model infrastructure and foundational AI system development. The position emphasizes hands-on engineering work rather than theoretical tasks.

The role suits experienced engineers who combine strong coding fundamentals with specialized knowledge in systems-level programming, firmware, or chip-adjacent domains. This is remote work arranged through Mercor's marketplace model, offering flexibility for those balancing other commitments. Compensation is listed at $100–$150 per hour.

If you have a proven track record building or optimizing complex systems at scale and want to apply that expertise to cutting-edge AI infrastructure, this opportunity connects you directly with advanced research work.

From the listing: Mercor marketplace · part-time · 20h/week. Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. # 1\. Overview Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Embedded Systems, Firmware, Kernel and Chip Design Engineers with hands-on

Open listing & apply →

Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.

Want help getting selected — and finding the best-paid work for your country? See how membership works →