Jobs at DefTech companies

Are you passionate about safeguarding countries, societies, and businesses from information threats? Look no further! Our rapidly scaling company is passionately committed to this crucial mission, offering you a privileged opportunity to collaborate with some of the world’s most influential organizations, including NATO and the EU.

If you’re ready to join a dynamic team working towards a common vision of a safer digital world, we invite you to be a part of our journey. Shape the future with us and help defend against online threats with purpose and innovation!
 

Role Overview

We’re looking for a Senior AI Engineer with a solid engineering background and hands-on AI experience. In this role, you will help design and implement innovative AI-powered solutions that are core to our platform’s mission. You’ll work across the stack to build and integrate AI capabilities that are both scalable and practical.

You won’t need to build everything from scratch, but you’ll need the skills to fine-tune, adapt, and creatively apply state-of-the-art models and tools to solve real-world problems. Your responsibilities will range from working on backend services to shaping AI agents and LLM-based pipelines for production use.
 

Key Responsibilities

• Understand business challenges and generate innovative ideas to address them using AI and machine learning.
• Research, evaluate, and adapt existing deep learning and machine learning models for practical applications.
• Develop cost-efficient, scalable AI solutions.
• Develop and maintain services for data enrichment using LLMs.
• Design and build AI agentic systems for dynamic use cases.
• Monitor industry advancements and identify opportunities to leverage the latest tools and techniques.

Requirements

Engineering Skills:

• Strong Python skills.
• Experience with FastAPI, Docker, and asynchronous programming.
• Good knowledge of DBs, including PostgreSQL, Elasticsearch, and Vector DBs.

AI Skills:

• At least 3+ years of hands-on experience in AI/ML, with a focus on LLM-based systems.
• Proven experience building RAG systems in production.
• Experience designing and implementing agentic systems.
• Strong understanding of transformer architectures.
• Practical experience with prompt engineering.
• Knowledge of LLM infrastructure and deployment.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Understanding of evaluation methodologies for LLM outputs

We Offer

• Opportunity to contribute to a mission-driven startup and support prestigious clients, including governments worldwide, enterprise clients, and leading NGOs in addressing information threats and tackling security challenges.
• Autonomy and freedom to drive experiments and bring your own ideas to life.
• Flexibility of fully remote work.
• Flexible, unlimited time-off policy.

We are looking for a proactive and motivated IT Warehouse & Asset Specialist, who will work in a fast-paced environment of a growing DefTech company. 

Responsibilities: 

• Manage IT warehouse operations and physical stock of equipment 
• Receive, store, and issue IT hardware according to established procedures 
• Maintain accurate inventory records for all warehouse stock 
• Process equipment write-offs and prepare assets for disposal 
• Coordinate transfer of faulty equipment to service centers and track repair status 
• Ensure proper labeling, storage, and organization of IT assets in the warehouse 

Requirements: 

• Experience in warehouse operations or stockroom management (IT background preferred) 
• Knowledge of inventory management principles and documentation practices 
• Ability to work with asset tracking or warehouse management systems 
• Physical ability to handle and move IT equipment 
• Attention to detail and strong organizational skills 

Nice to have: 

• Experience with ITSM platforms 
• Familiarity with procurement or ERP systems 
• ITIL Foundation certification 

We offer:  

• Official employment in accordance with Ukrainian labor law. 
• Military service deferment.  
• Modern working equipment. 
• Regular performance reviews to support your professional growth. 
• 24 working days of paid vacation annually. 
• Paid sick leaves. 
• English language classes. 
• Compensation for educational and training programs. 
• Team buildings and corporate events in a friendly and collaborative environment. 

Level: Senior (individual contributor)· 

Focus: Full-stack hardware + flight stack integration (ArduPilot / Betaflight) 

Location: On-site (lab / hangar)

About the role

We're looking for an experienced hardware engineer to own end-to-end flight-control hardware integration across a diverse fleet of drones — from FPV quads to larger autonomous multirotor, fixed-wing, and VTOL platforms. You'll be the person who takes a new airframe from a pile of components to a tuned, flight-ready system: selecting and wiring the flight controller, flashing and configuring ArduPilot or Betaflight, integrating ESCs, sensors, radios, power, and payloads, and tuning it until it flies cleanly.

This is a hands-on, on-site role based in our lab/hangar, spanning the full range from quick R&D prototypes to repeatable production builds. You'll be the hardware integration expert for the team, working independently and setting the standard for how builds are configured, documented, and validated. Success looks like new platforms reaching reliable, flight-ready status quickly — and builds that stay consistent and reproducible from one unit to the next.

What you'll do

• Own end-to-end hardware integration of flight-control systems across multiple platform types (multirotor, fixed-wing, VTOL, FPV).
• Select, flash, configure, and tune ArduPilot (Copter / Plane / Rover) and Betaflight; build and maintain custom firmware targets and board definitions where needed.
• Integrate and validate flight controllers, ESCs, and motors — including protocol setup (DShot / bidirectional DShot, PWM / OneShot), motor–prop matching, and thrust testing.
• Bring up and calibrate full sensor suites: IMUs, barometers, compasses/magnetometers, GPS/RTK, rangefinders, optical flow, and airspeed sensors.
• Integrate RC and telemetry links (ExpressLRS, TBS Crossfire, CRSF / SBUS, MAVLink, SiK radios) and FPV/video systems (analog and digital VTX, OSD, cameras, antennas).
• Spec, assemble, and wire power systems — distribution, regulation, current/voltage sensing, and battery selection — with clean, reliable harnesses.
• Integrate smart peripherals over CAN / DroneCAN and companion computers (Raspberry Pi / Jetson) over MAVLink.
• Diagnose vibration, noise, and EMI issues and implement fixes (soft-mounting, gyro/notch filtering, grounding, shielding).
• Run bench, ground, and flight tests; analyze logs (Mission Planner / MAVExplorer, Betaflight Blackbox) and iterate on PID and filter tuning.
• Root-cause failures and design for reliability — diagnose in-flight and bench anomalies, build in redundancy where it matters, and harden platforms to hold up in real-world field conditions.
• Take platforms from quick R&D prototypes through to repeatable, well-documented production builds — locking in configurations and processes that stay consistent across units.
• Document build configurations, wiring, and setup procedures, and support/upskill the team so they can operate and iterate independently.

• Work closely with the software, mechanical, and flight-test teams to integrate cleanly and resolve hardware–software issues together.

   

What we're looking for

• Hands-on experience integrating and configuring ArduPilot and/or Betaflight on real hardware.
• Strong working knowledge of drone subsystems: flight controllers, ESCs, motors, sensors, RC links, power, and FPV.
• Comfortable with soldering, wiring, and general benchtop debugging (multimeter, bench power supply).
• Solid grasp of the relevant protocols: DShot, CRSF / SBUS, MAVLink, I2C / SPI / UART, and ideally CAN / DroneCAN.
• Experience tuning multirotor and/or fixed-wing platforms and reading flight logs to track down problems.
• Able to work independently and own a hardware domain from first component to flight-ready system.
• Comfortable switching between fast prototype iteration and the repeatability that production builds demand.
• Typically 4+ years in drone/UAV hardware, robotics, or embedded systems.

• Degree in electrical, aerospace, mechatronics, or robotics engineering — or equivalent hands-on experience.

   

Nice to have

• Writing custom ArduPilot board definitions (hwdef) or Betaflight targets, and compiling firmware from source.
• Familiarity with PCB design (KiCad / Altium) is a welcome bonus — but we treat full board design as a separate specialty, so it's not expected for this role.
• RTK GPS and precision navigation, lidar, or computer-vision payload integration.
• Breadth across airframe types — VTOL, large industrial, or agricultural platforms.
• Familiarity with the drone and aviation regulations that apply in the role's region.
• Comfortable with 3D printing and rapid prototyping for custom mounts, frames, and fixtures.

Tools & technologies you'll work with

• Firmware / stacks: ArduPilot, Betaflight
• Flight controllers: Pixhawk / Cube, Holybro, Matek, SpeedyBee, Kakute (STM32 F4 / F7 / H7)
• Ground stations: Mission Planner, QGroundControl, Betaflight Configurator
• Protocols: MAVLink, DShot, CRSF, SBUS, DroneCAN / CAN, I2C / SPI / UART
• RC / telemetry: ExpressLRS, TBS Crossfire, SiK radios
• ESC firmware: common ESC firmware and configuration tools
• Bench: Soldering station, multimeter, bench power supply

What we offer

• Competitive salary, set to experience
• A fully equipped lab and a budget for the gear, tools, and parts you need
• Health coverage, paid time off, and the standard benefits
• Room to grow your skills and shape how the team builds

Full compensation details are shared early in the process.

About us

We design and build drones across a range of platforms and applications, and we care about getting the hardware right. You'd be joining a hands-on team that puts real aircraft in the air and values engineers who can own their work from the bench to the flight line.

How to apply

To apply, send your resume along with anything that shows your work — builds you've integrated, logs or tuning you're proud of, repos, or flight videos. We'd love to see what you've put in the air.

We are looking for an Embedded Linux Engineer to design, develop, and maintain customized Embedded Linux distributions using the Yocto Project. You will work closely with hardware, firmware, and application teams to deliver stable, secure, and production-ready Linux images for embedded devices.
 

Responsibilities

• Design, build, and maintain Yocto-based Linux distributions
• Create and maintain BSP layers, recipes, and image configurations
• Integrate and customize bootloaders and Linux kernel
• Optimize build times, image size, and system performance
• Debug build and runtime issues (BitBake, kernel, userspace)
• Integrate device drivers, middleware, and third-party packages
• Ensure compliance with licensing (GPL, LGPL, OSS)
• Support CI/CD pipelines for automated builds
• Collaborate with hardware, QA, and software teams
• Maintain technical documentation
   

Requirements

• Solid knowledge of Embedded Linux architecture
• Proficiency in build automation tools: Autotools, Make, CMake, Ninja, Meson
• Proficiency in scripting: Bash, Python
• Advanced knowledge of C & C++
• Hands-on experience with Linux kernel configuration and debugging
• Familiarity with cross-compilation toolchains
• Experience working with ARM-based platforms
• Knowledge of Git and collaborative development workflows
• Ability to debug low-level system issues
• Willingness to learn and work with the Yocto Project / OpenEmbedded
   

Nice to Have

• Strong experience with Yocto Project / OpenEmbedded
• Experience with BSP bring-up on new hardware
• Experience with Buildroot or other embedded build systems
• Familiarity with secure boot, OTA updates, or SWUpdate / RAUC / Mender
• Understanding of real-time Linux (PREEMPT_RT)
• Experience with CI systems (Jenkins, GitLab CI, etc.)
   

Will be a Plus

• Open-source contribution
• Kernel drivers development
• System and kernel profiling
   

Education

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electronics, or a related field
• Or equivalent practical experience
   

What We Offer

• Opportunity to work on cutting-edge embedded products
• Competitive salary and benefits
• Flexible working model (remote / hybrid / onsite)
• Professional growth and learning opportunities
• Collaborative and engineering-focused culture

We develop advanced AI solutions for Unmanned Aerial Vehicles (UAVs), working closely with defense and dual-use tech companies across Ukraine, Europe, and NATO member states.

We are not looking for a traditional "salesperson" to pitch products or close deals. Instead, we need a sharp Researcher and Analyst to unlock severe leverage for our commercial team.

Your mission will be to systemize repetitive, manual prospecting, map out the global defense market, and engineer a predictable pipeline of qualified opportunities.

Core Responsibilities:

• Account Qualification: Classify target accounts by readiness (Unaware vs. Actively Looking vs. Already Committed) and identify subtle technical integration signals.
• Personalized Outreach: Execute smart, highly tailored outreach via LinkedIn and Email. No generic spam templates — every single message must be context-aware and deeply personalized. You will own the initial hook and rigorous follow-up execution.

• CRM Sovereignty: Maintain absolute hygiene in our CRM (Hubspot/Pipedrive). Track outreach history, log drop-off reasons, and ensure zero duplicate records

   

Candidate Profile:

• Experience: 0-3 years of experience. We are completely fine with hiring a brilliant graduate with little commercial sales experience. If you have a background in International Relations, Political Science, Intelligence Studies, Analysis, or Engineering, you'll feel right at home.
• Language: Fluent, professional, and natural written English (Upper-Intermediate / Advanced is a strict requirement).
• Your Superpowers: Deep curiosity (finding a needle in a haystack via Google/LinkedIn is your sport), high structure (you love spreadsheets and order), and relentless discipline (you never drop a follow-up).
• Domain Interest: A genuine fascination with defense tech, AI, hardware, and the UAV ecosystem.

What We Offer:

• Work Format: Remote / Hybrid / Office. Offices in Prague and Lviv, relocation and onsite work is welcome and will be supported.
• Compensation: Dependent on your location and experience + a clear KPI-based bonus system tied to the number of qualified opportunities generated.
• Growth & Mentorship: Direct daily collaboration with the CBDO. You will learn modern, world-class B2B SaaS and GovTech outbound frameworks. Long-term, you have a direct path to step up into a Senior Business Development Manager role and manage part of our commercial organization.

If you are a highly structured individual who wants to work with tech that changes the rules of engagement on the modern battlefield, apply with your CV — let’s talk!

We integrate automation, AI, and robotics to build security and defense solutions. Our focus is intelligent systems combining embedded software, computer vision, and edge-AI for autonomous platforms.

We're looking for an engineer driven by the radio spectrum — from spectral analysis to real-time drone signal detection. You'll work with SDR platforms and radar sensors, write DSP pipelines, and collect data.

What you'll be doing:

• Working with SDR platforms (HackRF, USRP, LimeSDR, RTL-SDR) — capturing, analyzing, and processing radio signals;
• Developing DSP pipelines for real-time UAV signal detection, classification, and direction finding;
• Analyzing the spectrum and building signal features for further ML model training;
• Collecting, labeling, and validating radio datasets — laying the foundation for models;
• Working at the intersection of radio and radar — integrating data from radar sensors into a shared detection pipeline;
• Writing in Python and C++ for real-time signal processing;
• Researching and prototyping new approaches to drone detection — this is R&D, not maintenance of something ready-made;

• Working alongside ML engineers to ensure detection models perform reliably on real-world data.

   

Technical skills

Required:

• Understanding of radio engineering fundamentals — modulation (AM/FM/PSK/OFDM), frequency bands, antennas, signal propagation;
• DSP — confident command of digital signal processing: FFT, filtering, spectral analysis, correlation;
• SDR experience — hands-on practice with HackRF / USRP / LimeSDR / RTL-SDR (not just theory);
• Python — confident coding for signal processing and data handling (NumPy, SciPy);
• C++ — for real-time signal processing and high-performance pipelines;
• Linux — comfortable in the terminal, system utilities, SSH;

• Middle / Senior level — ability to independently drive a task from idea to working prototype without step-by-step guidance.

   

Nice to have:

• Radar — understanding of operating principles (FMCW, Doppler), experience with radar sensors;
• GNU Radio — building flow graphs, writing OOT modules;
• Experience with RF front-end, antenna systems, direction finding (DoA);
• TensorRT / ONNX Runtime — deploying models on edge;
• Jetson or other edge platforms;
• Docker / CI/CD;

• English at the level of reading technical documentation and communication.

   

What we offer:

• Impact: work on real autonomous systems, not educational projects.
• Autonomy: technical freedom — choose your tools, propose solutions. Minimum bureaucracy.
• Unique domain: rare expertise that immediately sets your resume apart in aerospace/defence.
• Growth: mentorship from experienced engineers.
• Remote work: remote, flexible schedule, core sync hours for communication.
• Team: work alongside engineers solving problems at the intersection of edge-AI, computer vision, and real-time robotics.

• Mission: direct contribution to Ukraine's defense capability and European security.

   

If this sounds like you — don't wait, reach out today. We look forward to meeting you :)

We are looking for a Chief Turret Systems Design Engineer to lead the development of high-precision melee engagement systems. Your key task will be to create a compact turret with automatic guidance, capable of effectively hitting fast and small targets at a short distance.

It is a complex, technologically rich and engineering-demanding product, where each constructive solution affects not only tactical efficiency, but also calculation safety and stability of system operation in conditions of field application. The turret should have two formats of use:

— fixed installation;

— integration on moving platforms.

We move from the stage of experimental concepts to the creation of an engineering-mature system, so the quality of design, the durability of mechanics, the accuracy of guidance algorithms and the reliability of all — nodes are critical.

You will be responsible for the full engineering cycle: from the formation of the product architecture and the selection of technological solutions to the synchronization of the work of mechanics, electronics, software developers and production. Your work will be closely integrated with the hardware, embedded, computer vision and testing teams.
 

Desired competencies:

Understanding engineering and design principles.
Professional CAD ownership: SolidWorks, AutoCAD and other CAD systems.
Normative literacy: knowledge of ESCD for drawing up and checking working drawings, specifications and documentation.
Knowledge of the component base: optimal selection of elements, rolled metal and materials for specific structures.

We offer:

Career development: vertical and horizontal growth, specialized courses, trainings, technical exchange and participation in strategic projects.
Security and stability: booking conscripted employees from the first month.
Salary in euro.
Official employment and social guarantees: leave, sick leave, full social package.
Legal support: consultations and support on military accounting issues.
Adaptation: high-quality onboarding with mentoring support and step-by-step involvement in project activities.
Comfortable conditions: corporate meals, recreation areas, friendly atmosphere and equipped shelter on the territory of the office.
Convenient location: 10 minutes on foot from the metro.
 

The company will provide everything necessary to fulfill the assigned tasks. If you have acquaintances who can be useful in such a project, then send their recommendations, if they pass the selection stages - you will receive a financial reward.

We are looking for an experienced Radio Frequency Engineer join our team and contribute to the development of advanced RF and wireless solutions for Aerospace & Defense (A&D) and OTA applications.
This role is ideal for an engineer who enjoys solving complex RF challenges, designing end-to-end system architectures, and working directly with customers on innovative technical solutions.

Requirements:

• Bachelor's degree in Electrical Engineering, RF Engineering, Physics, or a related field.
• 3+ years of experience in RF Systems Engineering, Wireless Communications, or Solution Architecture.
• Strong knowledge of RF systems, antennas, OTA testing, wireless communications, and RF measurement methodologies.
• Experience designing complex customer solutions and preparing technical proposals.
• Strong troubleshooting and system integration skills.
• Excellent communication and customer-facing abilities.
 

Responsibilities:

• Design and architect RF, OTA, wireless, and A&D solutions together with customers.
• Lead requirements gathering, technical discovery, and solution definition activities.
• Develop end-to-end RF system architectures, including hardware, software, OTA, chamber, and integrated solutions.
• Prepare technical proposals, BOMs, SOWs, and customer quotations.
• Resolve complex RF, interoperability, integration, and performance issues.
• Serve as a senior technical expert during customer engagements and deployments.
• Support professional services activities, including integration, deployment, optimization, training, and technical support.
• Collaborate with Sales, Engineering, and Support teams to deliver customer-focused solutions.
• Contribute to business growth initiatives and mentor junior team members.
 

Nice to Have:

• Experience with Aerospace & Defense projects.
• Knowledge of radar, electronic warfare (EW), RF Test & Measurement, or wireless infrastructure environments.
• Experience supporting professional services or customer deployment activities.

What We Offer:

• Official employment in accordance with Ukrainian labor legislation.
• Competitive compensation with timely salary payments.
• Paid annual leave (24 calendar days).
• Military reservation support.
• Hybrid work format (Monday–Friday, 9:00–18:00).
• Modern equipment and all necessary tools provided from day one.
• The opportunity to work on cutting-edge technologies that contribute to Ukraine's security and defense capabilities.
• Professional development, learning, and career growth opportunities.
• A collaborative environment where initiative is encouraged and your ideas can have a real impact.

We are looking for a Python /C++ Software Engineer to join our autonomous systems control team.

This role is a strong fit for an engineer who is comfortable with mathematics, and is interested in growing into control engineering for autonomous systems.

We consider engineers at Middle+ level.

Responsibilities:

• Develop and maintain control and decision-making algorithms for autonomous guidance
• Perform testing in simulation environment and in real life
• Analyze system behavior and logs
• Navigate through research papers and algorithm descriptions in field of autonomous systems and apply them in practice

Required qualifications:

• 3+ years of software development experience in ML, robotics, simulation, gamedev or other algorithmically intensive domains
• Strong programming skills in Python and C++
• Hands on experience with concurrent and parallel programming
• Mathematical background, including: linear algebra (vectors and matrices, coordinat systems and transformations) calculus (derivatives and integrals)

Would be an advantage:

• Control theory fundamentals
• Olympiad programming
• Signal processing
• Machine Learning
• Mavlink
• Simulation tools (Gazebo, AirSim)
• ITL, HITL testing
• X4, Betaflight, ArduPilot

What We Offer:

• Opportunity to work on cutting-edge embedded products
• Competitive salary and benefits
• Flexible working model (remote / hybrid / onsite)
• Professional growth and learning opportunities
• Collaborative and engineering-focused culture

We are looking for a Autonomous Systems  Engineer to work on autonomous systems with a focus on computer vision, control theory, and data-driven modeling. This role is ideal for someone with strong analytical skills and experience applying data science to real-world autonomy or robotics problems.

Key Responsibilities:

• Develop vision-based algorithms for perception and navigation.
• Work on data analysis and sensor fusion for multi-sensor systems.
• Build models and simulations to support system development and testing.
• Process and analyze datasets from cameras, IMUs, and other sensors to improve autonomy performance.
• Collaborate with robotics and software engineers on perception and navigation pipelines.
• Stay up to date with recent research in computer vision, autonomy, and data science.

Required Qualifications:

• 2+ years of experience in data science, robotics, computer vision, or a related field.
• Knowledge of control theory, PID controllers, signal processing, and data-driven modeling.
• Understanding of geometric computer vision principles.
• Strong programming skills in Python and good working knowledge of C++.
• Experience working with Linux-based systems.
• Degree in Computer Science, Robotics, Engineering, Mathematics, or another STEM field (or equivalent practical experience).

Nice to Have:

• Experience with SLAM or Visual-Inertial Odometry (VIO).
• Familiarity with OpenCV, NumPy, and ML frameworks such as PyTorch or TensorFlow.
• Experience with ROS2, Gazebo, or AirSim.
• Experience with PX4, Betaflight, or ArduPilot.
• Understanding of neural networks for computer vision.
• Interest in reinforcement learning or predictive modeling.

What We Offer:

• Opportunity to work on cutting-edge embedded products
• Competitive salary and benefits
• Flexible working model (hybrid /onsite)
• Professional growth and learning opportunities
• Collaborative and engineering-focused culture

We are looking for a Computer Vision Engineer with strong experience in deep learning and production computer vision systems.

The role involves developing and bringing computer vision models into production, covering the full lifecycle from training and evaluation to deployment and system integration.

Responsibilities:

• Develop and improve Computer Vision and Machine Learning models
• Design and implement solutions for object detection, classification, segmentation, and tracking
• Work with large-scale image, video, and telemetry datasets
• Prepare, process, and maintain datasets for model training and evaluation
• Manage model training, validation, and testing workflows
• Optimize models for production deployment and real-time performance
• Integrate ML models into software services, applications, and APIs
• Analyze model performance and identify opportunities for quality improvement
• Participate in the design and architecture of AI components within the product ecosystem
• Collaborate closely with Backend, Infrastructure, Data, and Product Engineering teams
• Contribute to the development of MLOps practices and the end-to-end machine learning lifecycle.

Requirements:

• 3+ years of experience in computer vision
• High proficiency in Python
• Strong experience with deep learning and the PyTorch framework for computer vision tasks
• Research experience in computer vision with a focus on delivering results
• Ability to work independently or within a small team, with a strong sense of ownership over results

Nice to Have:

• Experience working with thermal imaging data (thermal cameras, infrared imagery) would be an advantage
• Experience with deep learning solutions for detection, tracking, image retrieval, and segmentation tasks
• Understanding of geometric computer vision principles
• Model optimization: quantization, pruning, neural network compilers
• Hands-on experience implementing low-level CV algorithms
• Experience with sensor fusion (IMU, magnetometer, GNSS, camera)
• Knowledge of C++

We are looking for a Computer Vision Engineer with strong experience in deep learning and applied computer vision systems.
The role involves working on challenging CV problems in real-world environments.
We consider Middle and Senior engineers, with scope adapted to experience.
Responsibilities

• Develop, train, and optimize deep learning models for:
  • image retrieval
  • image matching (keypoint detection and matching)
  • auxiliary perception tasks supporting the main pipeline
• Evaluate models using quantitative metrics, including:
  • retrieval quality (mAP, Recall@K)
  • matching performance (precision/recall, repeatability)
  • end-to-end system metrics (accuracy, latency, robustness)
• Optimize models for production deployment using modern toolchains:
  • ONNX / TensorRT / OpenVINO / edge acceleration where applicable
  • model compression techniques (quantization, pruning, distillation)
  • latency, memory, and throughput optimization
• Work with large-scale visual datasets and descriptor-based representations
• Collaborate with engineering teams to integrate models into production systems

Required Qualifications

• 2–4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with keypoint detection and matching models (e.g. SuperPoint, R2D2, DISK, LightGlue, SuperGlue)
• Experience with image retrieval or metric learning systems
• Strong understanding of geometric and motion-related computer vision concepts:
  • keypoint detection and description
  • image matching and geometric verification (RANSAC, homography, PnP)
  • pose estimation and refinement techniques (PnP, bundle adjustment, pose graph optimization)
  • optical flow and frame-to-frame tracking
  • vector search / ANN methods for descriptor retrieval
• Strong Python skills (PyTorch and scientific computing stack)
• Ability to read and understand inference code in C++

Nice to Have

• Experience with noisy or imperfect real-world datasets
• Self-supervised or unsupervised learning methods (contrastive learning, homography supervision, etc.)
• Experience optimizing models for edge deployment (quantization, pruning, distillation)
• Familiarity with FAISS or similar vector search systems
• Experience with optimization libraries for geometric problems (bundle adjustment, pose refinement)
• Understanding of real-time constraints (latency, memory, CPU inference budgets on ARM or low-power x86 systems)

We are looking for Computer Vision Engineers with strong experience in classical and geometric computer vision, and hands-on experience with SLAM, Visual-Inertial Odometry (VIO), or related localization systems.

We are open to candidates of different seniority levels (Junior to Senior), with responsibilities and scope defined by experience.

Responsibilities:

• Develop and optimize classical and geometric computer vision algorithms
• Work with feature tracking, matching, and geometric processing
• Contribute to SLAM / VIO pipeline components
• Integrate and test multi-sensor fusion systems (camera + IMU)
• Design and run experiments, evaluate algorithm performance
• Translate research papers into practical implementations
• Collaborate with cross-functional engineering teams

Required Qualifications:

• Hands-on experience with classical computer vision
• Understanding of geometric computer vision concepts, including camera models, feature detection, and tracking
• Familiarity with SLAM and/or Visual-Inertial Odometry (VIO) concepts
• Experience with C++ and Linux environments
• Ability to design, implement, and optimize computer vision algorithms in practice
• Ability to learn from and implement research-based methods
• Degree or ongoing studies in Computer Science, Mathematics, Physics, Engineering, or a related STEM field

Nice to Have:

• Experience with Python
• Knowledge of neural networks and CV libraries/frameworks (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion techniques
• Familiarity with embedded or real-time systems
• Robotics or navigation background

Наш клієнт — продуктова технологічна компанія, яка розробляє сучасні high-tech рішення та embedded-системи. Зараз команда шукає Embedded Engineer для роботи з single-board computers (SBC), hardware integration та Linux-based системами.

Основні задачі:

• розробка та підтримка ПЗ для embedded-пристроїв і single-board computers (Raspberry Pi, NVIDIA Jetson Nano тощо)
• інтеграція ПЗ з hardware components: sensors, actuators, communication modules
• робота з low-level interfaces та communication protocols (UART, SPI, I2C)
• оптимізація роботи систем у resource-constrained environments
• debugging та troubleshooting hardware/software integration
• взаємодія з hardware engineers щодо інтеграції рішень
• підтримка build/deployment pipelines
• адаптація та оптимізація існуючого ПЗ під target platforms
• участь у code review та покращенні software quality

Основні вимоги:

• 3+ роки досвіду в embedded/software development
• впевнене програмування на C / C++
• хороше розуміння Linux та command-line tools
• досвід роботи з SBC platforms (Raspberry Pi, Jetson Nano або аналогами)
• досвід роботи з hardware interfaces та communication protocols
• навички debugging та troubleshooting
• досвід роботи з Git

Буде плюсом:

• досвід роботи зі STM32
• знання Python

Компанія пропонує:

• офіційне працевлаштування
• можливість бронювання (за наявності актуальних військово-облікових документів)
• сучасний офіс у Києві
• участь у high-tech / defense-tech проєктах
• професійний розвиток та роботу в сильній команді
• оплачувані відпустки та лікарняні відповідно до законодавства

We are a British—Ukrainian air defence tech company building distributed systems across the frontline. We are looking for an Embedded Software Engineer who will take full ownership of firmware and embedded systems running on edge devices in harsh, real-world environments.
 

Our core value is impact for Ukraine: we build technology that makes a real difference on the actual battlefield, not in labs or on paper specs. We operate with a deep-tech mindset, pushing new technologies where engineering rigor truly matters. We value ownership and responsibility—people who execute, deliver, and stand behind the results.

Key Responsibilities

• Firmware Development: Develop firmware for STM32 (ARM Cortex-M) and ESP32 microcontroller series.
• Embedded Linux: Configuration and development for Raspberry Pi.
• Peripheral Integration: Work with I2C, SPI, UART, CAN and other protocols.
• Host-Side Development: Write supporting software, automation scripts, and monitoring systems in Python.

• System Design: Design architecture for industrial solutions with high fault tolerance; build reliable systems where operational stability is the priority.

   

Requirements

Must Have

• 2+ years of experience in embedded systems development
• Deep knowledge of C/C++ for microcontrollers
• Experience with FreeRTOS (architecture, semaphores, queues)
• Ability to read electrical schematics and use measurement equipment (oscilloscope, logic analyzer)
• Understanding of stable industrial system development principles (watchdogs, error handling, operation in interference conditions)

• English level: Intermediate or higher

   

Strong Plus

• Experience in PCB design (Altium Designer, KiCad, or EasyEDA)
• Experience with ROS and ROS2
• Rapid prototyping skills: working with 3D printers (FDM/SLA) for creating enclosures or mounts
• Experience with network protocols (MQTT, HTTP, WebSocket) on ESP32/Linux