Jobs miltech

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!

About the Role

We are looking for a GNC Algorithm Engineer to join our team and contribute to the development and implementation of Guidance, Navigation, and Control (GNC) solutions for unmanned aerial vehicles (UAVs).

In this role, you will participate in the full algorithm development lifecycle - from mathematical modeling and simulation to implementation, optimization, and real-world flight testing.

Key Responsibilities

• Develop, test, and optimize Guidance, Navigation, and Control (GNC) algorithms for UAVs
• Modify and adapt algorithm parameters for specific aircraft platforms
• Build dynamic models and perform simulations (SITL/HITL) using tools such as MATLAB/Simulink, JSBSim, Gazebo, or similar environments
• Support, configure, and tune autopilot systems such as ArduPilot and PX4
• Integrate and process data from onboard sensors (IMU, GPS/GNSS, barometer, magnetometer)
• Implement and tune control algorithms, including PID, LQR, nonlinear, and adaptive controllers
• Analyze flight data and telemetry to improve algorithm performance and system reliability
• Participate in laboratory and field testing of developed solutions
• Collaborate closely with cross-functional engineering teams throughout the development process

Requirements

• Higher technical education in Aerospace Engineering, Mechatronics, Robotics, Mathematics, Cybernetics, or a related field
• Proven experience developing GNC algorithms for UAVs, autonomous systems, or robotic platforms
• Strong programming skills in C++, Python, and/or MATLAB, with focus on numerical methods and algorithm efficiency
• Hands-on experience with modeling and simulation tools such as MATLAB/Simulink, JSBSim, Gazebo, AirSim, or similar (SIL/HIL environments)
• Experience with ArduPilot or PX4, including configuration, tuning, and integration with control algorithms
• Strong understanding of sensor integration and data processing (IMU, GPS/GNSS, barometer, magnetometer)
• Practical experience implementing and tuning control methods (PID, LQR, nonlinear or adaptive controllers) under real hardware constraints

Nice to Have

• Experience applying Machine Learning / AI approaches for optimization or adaptation of GNC algorithms
• Experience with ROS in robotics or aviation projects
• Participation in research initiatives, hackathons, conferences, or publications related to control and navigation
• Practical multicopter piloting experience

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.

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

About the Job

We are seeking a skilled Core Developer (Rust/ C++) for Swarm Robotics & Sensor Control with over 5 years of professional experience to join our dynamic development team. You will play a key role in building and optimizing the core architectures for the real-time control and management of robotic swarms and sensor systems. This position offers the opportunity to work with cutting-edge technologies and contribute to complex, mission-critical systems in a collaborative environment.

What is your Day to Day Mission:

• Design, develop, and maintain robust and scalable systems for swarm control and sensor management.
• Implement efficient communication protocols and real-time processing solutions for robotics.
• Collaborate closely with cross-functional teams to integrate backend components with robotics software and sensor networks.
• Optimize system performance, scalability, and reliability in a distributed robotics environment.
• Solve challenging problems using modern programming languages such as C++ and Rust.
• Participate in code reviews, architecture discussions, and software design decisions.

What you bring to the team:

• 5+ years of professional experience in backend development with a strong focus on real-time systems.
• Proficiency in Rust and C++, with a solid understanding of modern software development practices.
• Experience in building and optimizing backend architectures for distributed systems.
• Familiarity with network protocols, multithreading, and low-latency data processing.
• Knowledge of system architecture design, performance optimization, and resource management.

• Ability to work independently, solve complex technical problems, and thrive in a fast-paced startup environment.

   

Nice-to-Have:

• Experience in robotics, swarm control, or sensor integration.
• Familiarity with cloud platforms, Docker, or Kubernetes for scalable deployments.

• Understanding of embedded systems or real-time operating environments.

   

Why Quantum-Systems:

• We Stand with Ukraine
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

About the Job

As a Flight Control Systems Engineer, you will be a key part of our Flight Controls team to solve some of the most interesting flight guidance, dynamics, and controls problems you’ll have ever heard of. Together with our world-class team, currently four team members, you will take an empowering role: pushing the boundaries of drone technologies.

You will be working closely with stakeholders from the navigation, embedded systems, and flight test departments to conceive, implement, and validate flight guidance and control system algorithms, features, and improvements. Flight Controls at Quantum-Systems - your mission will be a powerful impact.
 

What is your Day to Day Mission:

• Design and programming of flight guidance and flight control algorithms for automatic and autonomous flight
• Support in model building for flight dynamic processes and design of control and feedback control laws based on these models
• Preparation and execution of flight tests with UAS systems
• Analysis of flight data recordings as well as evaluation and processing of test results
• Generation of C/C++ code with Matlab Simulink and its integration into the FCS / autopilot framework
• Supporting the certification of our product family and obtaining flight permits, e.g. for BVLOS flight projects
• Collaboration in the further development of the product development process

What you bring to the team:

• You have completed a degree/apprenticeship in the field of aerospace engineering, mechanical engineering, automotive engineering, electrical engineering or robotics.
• You have theoretical knowledge in the field of flight mechanics and have mastered the basics of control engineering. You also have practical experience with model aircraft, multicopters and / or their subsystems.
• You have knowledge of programming with Matlab/Simulink. Fluent handling of the programming language C and Git is also desirable.
• You are privately interested in model aircraft construction, drones or robotics and can't wait to implement and try out new ideas.
• Due to your open, communicative, friendly and competent attitude, it is easy for you to be considered as an internal expert.
• You are highly self-motivated and drive your area of responsibility independently.
• Communication in English is a matter of course for you.
   

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

About the Job

As Linux Software Engineer, you will be a key part of our System Architecture team to develop and maintain the Linux-based systems powering our unmanned aerial vehicles at Quantum-Systems. Together with our World-Class-Team, currently 3 team members, you will take an empowering role: pushing the boundaries of drone technologies.

You will be working closely with stakeholders from the Avionics, Systems Engineering, and Flight Testing departments to integrate hardware, third-party software, and onboard applications into a high-performance Linux platform.

Providing a reliable, scalable, and mission-critical software environment is essential to Quantum-Systems – your mission will have a powerful impact.

What is your Day to Day Mission:

• Maintaining existing as well as creating new Linux applications on the unmanned aircraft
• Designing and coordinating interfaces between teams, documenting the architecture and design decisions
• Integration of hardware and 3rd-party software into the Linux system, aligning with suppliers and other teams
• Testing of existing and new applications. This includes writing unit tests, integration tests, functional tests, and acceptance tests
• Analyzing logs from flights, both from test flights as well as real-world customer issues
• Debugging and finding solutions for software and hardware issues related to the Linux system
• Maintaining and extending the build system, pipeline, and tooling. Creating releases with release notes
• Working in an agile environment and following the defined development process

What you bring to the team:
 

• 3+ years of experience in Linux software development, preferably in embedded or robotics systems
• Strong proficiency in C/C++ (14 or newer) with proven experience developing Linux applications
• Understanding of Linux internals, including system services, device trees, and kernel modules
• Experience with cross-compilation, Yocto, Buildroot, or similar build systems
• Hands-on experience with debugging tools (e.g., GDB, strace, perf) and log analysis
• Familiarity with testing methodologies, including writing and executing unit, integration, and system-level tests
• Experience with CI/CD pipelines, version control systems (e.g., Git), and release management
• Strong problem-solving skills, with the ability to debug both software and hardware integration issues
• Proficiency in technical documentation, including interface definitions and architectural decisions
• Excellent communication and teamwork skills to work effectively across multiple engineering disciplines
• English Intermediate+

Nice to Have:

• Familiarity with middleware and interface standards such as DDS, MAVLink, CAN, or Ethernet
• Knowledge of containerization technologies (e.g., Docker) and virtualization
• Prior experience working in an Agile/Scrum development environment
• Exposure to real-time Linux or safety-critical software development is a plus

Why Quantum-Systems:

• We Stand with Ukraine
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.

• We promise to be your runway for individual and professional growth.

   

About us:

Quantum Systems specialises in the development, design, and production of small Unmanned Aerial Systems (sUAS). The company’s range of electric vertical take-off and landing (eVTOL) sUAS are built to maximize range and versatility and to provide operators with a seamless user experience. By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors.

As a Lead Embedded Software Engineer you are a key part of our Architecture team to develop and implement the core features and functionalities to have our drones operate safely and autonomously in the air.
 

Together with our world-class team, currently seven team members, you will take an empowering role: pushing the boundaries of drone technologies. You will be working closely with stakeholders in Germany and US from the System architecture and Hardware development departments.
 

This is a full-time office job. Candidates must be located in Kyiv.
 

What is your Day to Day Mission:

• Lead a team of embedded engineers
• Implementation, maintenance, and optimization of the Quantum-Systems autopilot firmware and firmware stack
• Design, Conception, implementation, and testing of new autopilot functionalities
• Export of flight control and navigation algorithms from Matlab / Simulink and integration into the autopilot’s embedded framework
• Implementation, maintenance, and optimization of BSP / peripheral and external sensor drivers and their optimized operation in the scope of the real-time operating system
• Building, documenting, and maintaining autopilot firmware for flight tests. Creation of flight test tickets, support of flight tests, and post-flight data analysis
• Creating unit tests, debugging/tracing of the code base for code coverage/functionality testing
• Maintenance of the firmware update eco system, including bootloaders & firmware updates
• Support in the implementation and maintenance of production tools

What you bring to the team:

• You have completed a degree in the field of bachelor’s or master’s degree in software engineering / electrical engineering and you have several years of experience working with embedded systems.
• You have a deep understanding of embedded systems and you are a senior in designing, implementing and optimizing embedded systems.
• You have strong knowledge of microcontrollers (ARM, Cortex-M), real-time operating systems and hardware and communication interfaces interfaces (UART, I2C, SPI, CAN, ETH ...)
• You are experienced with real-time operating systems like FreeRTOS or uCOS II and knowledge of multi-threading, task scheduling, and inter-task communication.
• You have the ability to bridge the gap between hardware and software, understanding the electrical and physical constraints, profound understanding of electronic schematics and efficiently utilizing available hardware resources
• You master version control and collaboration tools such as git and gitlab and you have experience in working in collaborative development environments with agile methodologies.
• You are highly self-motivated and drive your area of responsibility independently
• Due to your open, communicative, friendly, and competent attitude, it is easy for you to be considered as an internal expert

• English level at least B2

   

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

As an Embedeed Software Quality Assurance Engineer, you will be an important part of our R&D team. You will be a member of our QA team, working in close collaboration with the development team to ensure that our software for high-tech drones meets the quality standards. 

You will design and execute verification strategies for low‑level firmware, device drivers, and flight control software,. You will own test design from requirements to automated, hardware‑in‑the‑loop (HIL) regression, ensuring reliability, determinism, and safety across release. 

This is a full-time office job. Candidates must be located in Kyiv.
 

What is your Day to Day Mission:

• Translate system and safety requirements into testable specifications, acceptance criteria, and traceability matrices for embedded components. 
• Design and implement automated tests for firmwares. 
• Build and maintain HIL test benches: orchestrate power supplies, oscilloscopes/logic analyzers, RF signal generators etc 
• Develop board bring‑up test suites covering bootloaders, secure boot, installation and upgrade and peripheral self‑tests. 
• Own regression pipelines: containerized runners, artifact retention, flaky‑test triage, trend reporting, and release quality gates. 
• Introduce fault‑injection and negative testing to validate fail‑safe behavior. 
• Collaborate with Embedded Development Team to isolate root causes with traces, logic captures, and on‑target debug  
• Review, challenge, and optimize existing test cases 
• Proactively extend the test scope in a structured way 
• Provide quality report for your area 
• Participate in project meetings and and provide necessary inputs 
• Contribute to Knowledge Base 

What you bring to the team:

• Bachelor’s degree in Electrical/Computer Engineering, Physics, or related field. 
• 3+ years testing embedded systems at the firmware/driver leve 
• Proficiency in C for test scaffolding on‑target and Python for orchestration (e.g., pytest, pytest‑bdd, asyncio) 
• Hands‑on with oscilloscopes, logic analyzers, protocol analyzers, and serial debuggers; ability to read schematics 
• Experience with Scrum 
• CI/CD for embedded (GitLab/GitHub Actions/Jenkins), build systems (CMake, Bazel, or Make), and artifact/version management. 
• Good knowledge of QA methodologies and testing processes 
• Experience with Test management Tools (TestRail, xRay, others) 
• Service and teamwork orientation 
• Strong communication and problem-solving abilities 
• Self-motivated, self-disciplined, and result-oriented 
• Strong attention to details and accuracy 

• English — Intermediate+ 

   

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

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 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