Embedded AI Engineer

Bring sensing and on-device inference into devices with explicit memory, power, and latency limits.

About the Position

We are seeking an Embedded AI Engineer to integrate sensors, firmware, and inference runtimes on embedded targets. This role is ideal for someone who thrives in a startup culture, enjoys a goal-oriented team, and has a research mindset.

Responsibilities

• Integrate sensors, firmware, and inference runtimes on embedded targets.
• Profile memory, power consumption, and end-to-end response times.
• Build repeatable hardware tests and diagnose failures across software and electronics.

Requirements

• Experience developing and debugging C or C++ on embedded platforms.
• Understanding of interfaces, timing, resource constraints, and hardware debugging.
• Ability to validate behavior on a physical device rather than only a simulator.

Useful Evidence

• A device or embedded system you built, with your contribution made clear.
• Model quantization, embedded Linux, and board bring-up are useful experiences.

Working Terms

• Startup culture, a goal-oriented team, and a research mindset.
• The opportunity to apply your engineering skills to tools and systems for fellow engineers and help shape the future of AI.
• Latest-generation MacBook Pro.
• An in-house GPU cluster for training and experimentation.
• 20 working days of annual leave.
• English courses, educational events, and conferences.
• Medical insurance.

Tools & Systems

C++, Zephyr, ExecuTorch, TensorRT, micro-ROS.

Relevant experience matters more than knowing every tool listed.

Location

Kyiv / remote

Experience Level

Mid / Senior

Working Arrangement

Arrangement to be discussed

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