Jobs at DefTech companies

Dwarf Engineering is a Ukrainian junior manufacturer that covers the full cycle of development and production of autonomous systems for the front lines. We are a team of punks and hackers in the military technology field developing autonomy modules for robotic systems.
We're missing: a skilled C++ Engineer with 2+ years of experience who's excited to work on physics-related systems.

Required skills:

• 2+ years of professional experience in C++ and related libraries/frameworks;
• Strong background in mathematics and physics;
• Hands-on experience with 3D objects, or at least working knowledge of key concepts such as vertices, normals, and matrix transformations;
• Experience developing image or video processing algorithms;
• Solid understanding of OOP principles and design patterns;
• Proficiency in Linux;
• Experience with Git, Docker, and CI/CD pipelines;

Will be a plus:

• Knowledge of CV/AI libraries: Familiarity with popular computer vision or machine learning frameworks such as OpenCV, TensorFlow;
• Experience with Unreal Engine is a strong advantage.
   

👾 In this raid, you'll be responsible for:

• Designing, developing, and tuning object detection and tracking algorithms for robotics control;
• Participating in real-world validation and testing of vision-based models;
• Preparing detailed reports on algorithm performance and development progress.
   

👾 We offer:

• Official employment from day one;
• Military record assistance and legal support;
• Timely salary payments;
• Corporate lunches;
• Professional growth within a startup environment and a young, dynamic team;
• Ergonomic, height-adjustable desks;
• Office equipped with a generator and a stable internet connection. 

The Fourth Law is a leading Ukrainian manufacturer of autonomy technologies for drones. Our solutions are codified according to NATO standards and are currently utilized by over 50 units of the Security and Defense Forces of Ukraine, as well as 20+ drone manufacturers.

Our products are named after prominent Ukrainian figures of the "Executed Renaissance" and the "Sixtiers" movement—Vasyl Stus, Olena Teliha, Mykola Zerov, and Anatoliy Lupynos.

In 2026, the company was recognized by DOU as the most promising project in the defense tech sector.

Key Responsibilities:

• Own product positioning and messaging, translating complex technology into clear product value
• Lead Go-To-Market planning and execution for product launches and major updates
• Work with engineering, product, and operators to translate capabilities and operational needs into product strategy and messaging
• Create core product assets: product pages, presentations, technical materials, and sales collateral
• Analyze the market to inform product strategy and differentiation
• Ensure consistent product messaging across marketing materials, websites, and other channels in collaboration with design and marketing teams

Experience and skills we are looking for:

• 2+ years of experience in Product Marketing, preferably in deep-tech, robotics, AI, hardware, or other complex technology products
• Experience supporting product launches and bringing new technical products to market
• Strong analytical skills with experience in market research, competitive analysis, and product/business metrics
• Ability to translate complex technical systems into clear product positioning, value propositions, and product materials
• Experience developing Go-To-Market strategies in collaboration with product, engineering, and design teams
• English proficiency at B1+ level or higher

• Proficiency with modern LLM tools

   

Nice to have:

• Experience working in defence-tech or with military units
• Drone piloting skills

Why Choose Us?

• Work that has a real impact. We build products that directly strengthen Ukraine's defense capabilities.
• Opportunity to work alongside top-tier engineers in MilTech and autonomous systems.
• Official employment under the Diia.City legal framework. 
• The possibility of reservation (deferment) for conscripts in accordance with the requirements of current legislation. 
• Annual paid leave — 24 calendar days. 
• Additional paid leave for veterans — 14 calendar days. 
• Paid sick leave in accordance with the law. 
• Possibility of reimbursement for training costs according to internal company policies.

We are not just looking for employees, but for like-minded individuals who share our values and are ready to build the future of Ukrainian MilTech.

The Fourth Law is a leading Ukrainian manufacturer of autonomy technologies for drones. Our solutions are codified according to NATO standards and are currently utilized by over 50 units of the Security and Defense Forces of Ukraine, as well as 20+ drone manufacturers.

Our products are named after prominent Ukrainian figures of the “Executed Renaissance” and the “Sixtiers” movement—Vasyl Stus, Olena Teliha, Mykola Zerov, and Anatoliy Lupynos.

In 2026, the company was recognized by DOU as the most promising project in the defense tech sector.

Purpose of the Role: Develop and implement intelligent models to solve real-world business challenges. You will transform theoretical algorithms into functional tools that enhance our product

Key Responsibilities:

• Design, implement, and optimize machine learning models and algorithms;
• Collaborate with data scientists, software engineers, and product teams to deploy ML solutions;
• Conduct data preprocessing, feature engineering, and model evaluation;
• Monitor and maintain the performance of deployed ML models in production;
• Document model development, experiments, and results clearly and consistently;
• Stay up-to-date with the latest advancements in machine learning and AI technologies.

Experience and skills we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field;
• 3+ years of experience in machine learning, data science, or related fields;
• Strong programming skills in Python, R, or similar languages;
• Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn;
• Experience with model training, evaluation, and optimization for real-world applications;
• Solid understanding of machine learning algorithms, data structures, and statistical methods;
• Ability to work independently, manage multiple tasks, and collaborate with cross-functional teams.

Why Choose US?

• Work that has a real impact. We build products that directly strengthen Ukraine’s defense capabilities.
• Opportunity to work alongside top-tier engineers in MilTech and autonomous systems.
• Official employment under the Diia.City legal framework.
• The possibility of reservation (deferment) for conscripts in accordance with the requirements of current legislation.
• Annual paid leave — 24 calendar days.
• Additional paid leave for veterans — 14 calendar days.
• Paid sick leave in accordance with the law.
• Possibility of reimbursement for training costs according to internal company policies.

We are not just looking for employees, but for like-minded individuals who share our values and are ready to build the future of Ukrainian MilTech.

Overview

We are looking for a UAV Technician to join the flight team responsible for testing our flagship R&D product — a GPS-denied alternative navigation system. This role is focused on the technical side of UAV operations — assembly, configuration, maintenance, diagnostics, and repair of multirotor / fixed-wing airframes and their supporting equipment.

You will keep the team’s fleet in top shape and make sure every flight starts from a known-good aircraft. Piloting skills are welcome and useful, but they are not a hard requirement — your value here is in the hardware.

Responsibilities

• Assemble, configure, and bring up multirotor UAVs (frames, motors, ESCs, FCs, sensors, RC/telemetry, power) and fixed-wings
• Perform pre-flight technical checks and prepare aircraft for field campaigns
• Maintain, service, and repair airframes and supporting equipment (batteries, ground stations, antennas, RC equipment)
• Configure and tune Ardupilot-based autopilots (parameters, failsafes, sensor calibration)
• Diagnose hardware and configuration issues; perform root-cause analysis on failures
• Support flight tests on-site: be the technical hands during campaigns
• Keep equipment inventory, spare parts, and maintenance records in order
• Support engineers during bring-up and integration of new platforms and components

Requirements

Must-have

• Solid hands-on experience assembling, configuring, and repairing multirotor UAVs and fixed-wings
• Deep understanding of UAV core components (motors, ESCs, FCs, sensors, RC/telemetry links, power systems)
• Working knowledge of Ardupilot: parameters, calibration, failsafes, basic log analysis
• Confident soldering and basic electronics troubleshooting skills
• Ability to read wiring diagrams and basic schematics
• Methodical, careful approach to maintenance, documentation, and pre-flight checks

Nice to have

• Real flight experience on multirotor UAVs (piloting skills are a strong plus, not a must)
• Experience with mission-planning software (Mission Planner, QGroundControl)
• Experience with fixed-wing UAVs
• STEM (Science, Technology, Engineering, Mathematics) education
• Experience with 3D printing or basic mechanical fabrication
• Combat experience
• English at B1 level or higher

Personal qualities

• Responsibility and ownership over the equipment you touch
• Strong attention to detail — “good enough” is not good enough for a flying aircraft
• Methodical and process-oriented
• Communication skills and ability to work in a team
• Initiative — proposes improvements instead of waiting for instructions

We offer

• Competitive salary
• Reservation from mobilization
• On-site work with access to hardware and lab facilities
• Office in Kyiv with shelter access, generator and Starlink
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

We are seeking a highly capable engineer to help develop the next generation of navigation and guidance algorithms that will power future autonomous aircraft.

Our flagship product, SR10, enables unmanned aircraft to navigate using onboard sensors rather than satellite navigation signals. We are advancing the state of the art in visual-inertial navigation, passive localization, terrain-referenced navigation, and terminal guidance for autonomous systems.

What You’ll Work On

• Visual-Inertial Odometry (VIO) and state estimation
• Visual SLAM and map-based localization
• Sensor fusion and drift reduction
• Terrain-referenced navigation and map matching
• Passive localization in GPS-denied environments
• Precision terminal guidance and target localization
• Multi-sensor fusion using cameras, IMUs, and other onboard sensors
• Flight data analysis and algorithm validation
• Real-time autonomy software running on edge-computing platforms
• Simulation and testing of navigation and guidance systems

Responsibilities

• Design and implement navigation, localization, and guidance algorithms for autonomous aerial systems.
• Develop and improve state estimation pipelines using visual and inertial sensor data.
• Research novel approaches to passive navigation and precision guidance.
• Evaluate algorithm performance using simulation, recorded flight data, and live flight testing.
• Optimize algorithms for real-time operation on embedded systems.
• Collaborate with flight-control, embedded, and hardware engineers to deploy autonomy capabilities in operational environments.
• Contribute to government-funded research efforts and transition successful technologies into production systems.

Required Qualifications

• Bachelor’s, Master’s, or PhD in Aerospace Engineering, Robotics, Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related technical field.
• Strong software development skills in C++.
• Strong foundation in estimation theory, state-space systems, probability, and applied mathematics.
• Experience with one or more of the following:
  • Visual-Inertial Odometry (VIO)
  • Visual SLAM
  • Simultaneous Localization and Mapping (SLAM)
  • Multi-sensor fusion
  • Autonomous navigation
  • Guidance, Navigation, and Control (GNC)
• Experience working with camera and inertial sensor data.
• Ability to independently design, implement, test, and validate complex algorithms.

Preferred Qualifications

• Advanced degree (MS or PhD) in a relevant field.
• Experience with Kalman Filters, Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), factor graph optimization, bundle adjustment, or related estimation frameworks.
• Experience with OpenCV, Eigen, GTSAM, Ceres Solver, ROS, ROS2, PX4, ArduPilot, or similar tools.
• Experience developing software for autonomous drones, autonomous vehicles, robotics platforms, aerospace systems, or AR/VR localization systems.
• Experience with computer vision, target tracking, object detection, or visual servoing.
• Experience with terrain-referenced navigation, map matching, or geospatial modeling.
• Experience deploying real-time software on Linux-based embedded systems.
• Experience optimizing perception or navigation workloads for resource-constrained computing platforms.

Compensation

• Competitive salary
• Equity participation
• Opportunity to work on cutting-edge autonomy technology with direct real-world impact

Location

United States, Ukraine, remote or hybrid

About us:
Farsight Vision develops AI-powered geospatial intelligence solutions for defence and security operations. The platform transforms raw aerial and sensor data into real-time 3D environments, actionable analytics, and AI-assisted operational scenarios, enabling enhanced situational awareness, mission planning, and faster decision-making for both human operators and autonomous systems. We operate at the intersection of geospatial data, computer vision, and defense operations – and if that interests you, read on.

Responsibilities:
- Design, develop, and deploy production-ready computer vision algorithms for image and video analysis in GIS-related applications
- Build end-to-end perception pipelines – data collection, preprocessing, model development, deployment, and monitoring
- Integrate CV components into operational products in close collaboration with cross-functional engineering teams
- Optimize algorithms for performance, reliability, and scalability in real-time and resource-constrained environments
- Develop and deploy Visual Place Recognition (VPR) systems for geo-localization and scene understanding tasks
- Implement and optimize CV algorithms on embedded and hardware-accelerated platforms, ensuring stable and efficient inference at the edge
- Process and analyze large-scale datasets for model training, validation, and continuous improvement
- Diagnose and resolve complex issues across computer vision applications in production
- Contribute to internal research, exploring emerging techniques in image synthesis, manipulation, and applied ML.

Requirements:
- Expert-level Python – this is our primary engineering language. You must be comfortable writing clean, efficient, production-quality Python code
- 5+ years of hands-on experience in computer vision and applied machine learning
- Deep working knowledge of core CV and ML libraries: OpenCV, PyTorch, TensorFlow, and related tooling
- Solid understanding of machine learning, deep learning, and model development workflows end-to-end
- Hands-on experience with Visual Place Recognition (VPR) algorithms and techniques, including descriptor-based retrieval, sequence matching, and localization under varying conditions
- Proven ability to port, optimize, and run CV/ML models on embedded devices and edge hardware (e.g., NVIDIA Jetson, Raspberry Pi, or similar platforms)
- Proven experience with image processing, model training, and evaluation methodologies
- Ability to translate research into reliable engineering outputs with minimal supervision
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field – or equivalent demonstrable experience
- Strong analytical thinking and clear communication in a cross-cultural, fast-moving team.

Would be a plus:
- Experience with graphics APIs: OpenGL, OpenGLES, or Direct3D
- Background in graphical algorithms, 3D rendering, or computational geometry
- Familiarity with embedded systems or hardware-accelerated proces

We are building a precision turret platform for the defense of Ukraine and are looking for a strong embedded engineer to own sensor integration and control logic - from hardware bring-up to field deployment.
 

What you'll do

• Integrate key sensors - LiDAR, thermal (IR) cameras, IMU - on edge platforms (NVIDIA Jetson, ARM).
• Implement and tune control and stabilization algorithms for turret movement and aiming.
• Apply applied mathematics in practice: coordinate transformations, filtering (Kalman), geometry, timing.
• Debug real hardware and support field testing of deployed systems.

What we're looking for

• 4+ years of embedded software development (Linux, C++).
• Hands-on experience with LiDAR and/or thermal camera integration.
• Solid math background: linear algebra, geometry, filtering.
• Experience with control algorithms, stabilization, or motion systems.
• Comfortable working close to hardware (UART/I2C/SPI/CAN) and making decisions independently.

Will be a plus

• Turrets, gimbals, drones, robotics, or other unmanned systems.
• Sensor fusion, target tracking, PID control.
• ROS2, GStreamer, OpenCV, edge AI pipelines.

What we offer

• Direct contribution to the defense of Ukraine - short path from code to field deployment.
• Ownership of architectural and integration decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Vidar Systems is a Ukrainian startup in the field of acoustic technologies, operating at the intersection of defense and security. We develop acoustic systems that use sound to determine the location of hostile objects, including artillery and drones.

About the Role
Become a core member of our high-impact engineering team and architect the AI systems that protect Ukraine’s frontline defense. You will own the full lifecycle of ML solutions—from design to edge deployment—in a mission-critical acoustic reconnaissance environment.

What You’ll Do

• Design, implement, evaluate, and optimize ML/DL models for acoustic detection and classification tasks.
• Collect, clean, and preprocess datasets for model training and evaluation.
• Write modular, testable code for preprocessing, model inference, and automation tasks.
• Develop and maintain robust data pipelines to support efficient model training and evaluation workflows.
• Develop strategies for model quantization and compression to ensure high performance on resource-constrained hardware.

What You Need

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
• 2+ years of professional Python experience in ML/DL production applications.
• Hands-on expertise in designing, training, and integrating ML systems into production environments.
• Deep experience with TensorFlow, PyTorch, PyTorch Lightning, scikit-learn, NumPy, and Pandas.
• Strong analytical, communication, and problem-solving skills; ability to thrive and execute independently in a high-stakes, fast-paced startup environment.
• Good technical English.

Nice to Have

• C/C++ experience (especially valuable for our next-generation systems).
• Background in the audio domain or digital signal processing (DSP).
• Proficiency in training unsupervised learning models.
• Experience with the optimization and deployment of ML models on edge devices.

Our Recruitment Process

1. Intro call with recruiter — 45 min
2. Technical interview with ML Lead — 90 min
3. Test task — 4–6 hours
4. Final interview with ML Lead and CTO — 60 min

Why Join Us?

• High Autonomy: Shape the direction of our software solutions with minimal oversight and maximum ownership.
• Innovation at the Edge: Contribute to military acoustic reconnaissance systems at the forefront of defense tech, redefining ML in harsh, real-world acoustic environments.
• Flexible Work Options: Benefit from adaptable arrangements and a culture that truly values your input and well-being.

We are looking for a Middle Embedded Vision Integration Engineer to build and integrate camera, sensor, and video pipelines for UAV platforms operating under real-time, weight, and hardware constraints.

You will work on connecting cameras, gimbals, and onboard sensors into a cohesive embedded platform - from the companion computer to the flight controller - ensuring reliable, low-latency video and telemetry delivery to targeting, navigation, and ground control systems. This role is ideal for an engineer who already has solid embedded Linux experience and wants to grow into full integration ownership, working on hardware bring-up, driver configuration, and pipeline development under the guidance of senior engineers.

You will work directly on defense projects for Ukraine, with a short path from implementation to field testing.
 

What We Offer

• Direct contribution to defense projects for Ukraine.
• Mentorship from top experts in vision hardware, UAV systems, and embedded engineering.
• Hands-on involvement in integration and architecture decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.
   

Requirements

Core Technical Skills - Required

• 3–5 years of commercial embedded software development.
• Degree in Computer Science, Electrical Engineering, Physics, or similar.
• Solid Linux embedded development experience (NVIDIA Jetson, Raspberry Pi, ARM SoCs as companion computers).
• Proficient in C++14/17; Python for tooling and scripting.
• Hands-on experience with at least one flight stack: ArduPilot, PX4, Betaflight, or INAV.
• Working knowledge of MAVLink and/or MSP protocols: telemetry, basic command & control.
• Hands-on experience with camera integration: MIPI CSI, USB3, or RTSP streams.
• Experience with video pipeline development: GStreamer, V4L2 (DeepStream is a plus).
• Basic experience connecting companion computers to flight controllers over UART/CAN/Ethernet.
• Understanding of video downlink constraints: digital vs. analog video, latency budgeting, bandwidth limits.
• Familiarity with hardware bring-up and peripheral integration (device trees or kernel modules are a plus).
• Ability to work with moderate supervision and take ownership of well-defined integration tasks.
   

Will Be a Plus

• Experience with thermal/IR cameras or night-vision imaging.
• Stabilized gimbal integration.
• RC link protocols: ExpressLRS, CRSF, SBUS.
• IMU integration and sensor fusion basics.
• GPS-denied navigation, visual odometry, or optical flow exposure.
• ROS/ROS2 experience.
• Multi-sensor time synchronization (PPS, hardware triggers, PTP).
• BSP customization or kernel module development.
• Model deployment pipelines on edge devices (TensorRT, ONNX).
• QGroundControl/Mission Planner usage or customization.
• Mission-critical or safety-critical systems experience.
   

Responsibilities

• Integrate and configure cameras, gimbals, and optical sensors on UAV platforms.
• Build and maintain low-latency onboard video pipelines and video downlink channels.
• Integrate companion computers with flight controllers running ArduPilot/PX4/Betaflight via MAVLink/MSP under senior guidance.
• Implement telemetry, command, and video control channels between drone and ground station.
• Perform camera calibration and sensor alignment.
• Collaborate with the CV team to ensure clean, well-timed data delivery to detection, tracking, and navigation modules.
• Help expose sensor and flight data to higher-level targeting and autonomy subsystems.
• Participate in hardware selection and system architecture discussions.
• Support flight testing, debugging, and system maintenance.
• Contribute to ensuring robustness of deployed systems under field and EW conditions.
   

Ideal Candidate Profile

You are a solid embedded engineer comfortable working close to hardware, with hands-on experience connecting cameras and sensors, building video pipelines on edge platforms, and communicating with flight controllers over MAVLink or MSP. You can debug interfaces and timing issues, follow integration specs, and are ready to grow into full ownership of the drone integration layer with the support of senior engineers.