EDGE ML Deployment Engineer
11 часов назад
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).
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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