Embedded AI Engineer
Bring sensing and on-device inference into devices with explicit memory, power and latency limits.
- Location
- Kyiv / remote
- Experience
- Mid / Senior
- Working arrangement
- Arrangement to be discussed
Requirements
- Experience developing and debugging C or C++ on embedded platforms.
- Understanding of interfaces, timing, resource constraints and hardware debugging.
- Ability to validate behaviour on a physical device rather than only a simulator.
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.
Useful evidence
- A device or embedded system you built, with your contribution made clear.
- Model quantisation, embedded Linux and board bring-up are useful experience.
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++ZephyrExecuTorchTensorRTmicro-ROS
Relevant experience matters more than knowing every tool listed.