EDGE ML Deployment Engineer

5 дней назад

Киев, Киев, Украина swarmer Полный рабочий день


Swarmer is a Vendor-Agnostic Autonomy for Coordinated Robots. We develop AI-managed collaborative autonomy to make teams of connected drones and autonomous systems smart, efficient, and self-improving over time.

ROLE OVERVIEW: 

We are looking for an Edge ML Deployment Engineer to create efficient and reliable smart solutions that work in real-life wartime scenarios. Someone who is proficient in OS, memory management, and performance optimizations. Someone who can keep large complicated systems in their mind, reshape them in a way that satisfies the requirements of the environment, then translate that into code.

WHAT YOU'LL DO:

  • You'll be working with our most advanced algorithms for autonomy to make them even more advanced, that includes computer vision, and more general machine learning pipelines, but is not limited to it;

  • You'll make high-performance real-time systems that run in limited compute environments, such as a UAV's onboard computer;

  • You will not only make existing solutions shine, but introduce new ones, ensuring stability, predictability, and safety of operations.

WHAT WE ARE LOOKING FOR:

  • Solid experience of developing production grade systems on devices where compute is scarce;

  • Understanding of the inner workings of the modern ARM architecture and OS (real-time scheduling, managing memory hierarchy, CPU caches, multi-threading, SIMD's, etc.);

  • Proficiency in C/C++, general understanding of Python;

  • Experience in robotics would be a heavy advantage;

  • Fluent Ukrainian and competent English (B2 or higher).

WE OFFER:

  • A chance to shape the core autonomy and perception systems at the heart of Ukraine's defense tech ecosystem and its international expansion.

  • Direct impact in a high-stakes industry where your engineering decisions carry real-world consequences.

  • Professional growth through hands-on work with advanced UAV technologies and exposure to international best practices in autonomy, CV, and ML.

  • Competitive salary and comprehensive benefits package (insurance, paid sick leave, 20 paid days off per year).

  • Benefits of the defense sector (reservation and related benefits).

  • Flexible remote work options (possibility to commute to the office if needed is essential).


HOW THE HIRING PROCESS WORKS:  

Intro Call with TA Specialist → Technical Interview → Final Interview → Security Check → Offer

Ready to Apply?

If you're excited about solving complex challenges and eager to contribute to the future of collaborative autonomy, we'd love to hear from you

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