Jobs

We are looking for a Computer Vision Engineer with solid ML/DL experience to join our team on challenging projects.
We consider engineers at Middle and Senior levels - tasks and responsibilities will be adjusted accordingly. 

Required Qualifications:

• 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 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++

As a DevOps, you will play a vital role in ensuring the smooth operation and optimization of our network of IoT devices and Linux server infrastructure. Your expertise will be crucial in planning, provisioning, implementing automation, and safeguarding the security and performance of our systems.

Responsibilities:

Perform Linux system administration tasks, including server setup, configuration, and maintenance.

Monitor server performance, resource utilization, and troubleshoot potential issues to ensure optimal operation.

Implement security measures, configure firewalls, and manage user permissions to ensure robust system security.

Develop and maintain automation scripts using Bash or Python to streamline repetitive tasks and improve efficiency.

Collaborate with the development team to set up and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines for software deployment and testing.

Manage network configurations, interfaces, and routing to maintain seamless connectivity.

Set up and maintain monitoring and log analysis tools for proactive system monitoring and issue detection.

Implement backup strategies and disaster recovery plans to safeguard data and ensure business continuity.

Collaborate with cloud infrastructure if applicable, and maintain a cohesive hybrid environment if required.

Stay up-to-date with the latest trends and technologies in the Linux and DevOps domain, incorporating relevant innovations into our infrastructure.

Requirements:

2 years.

User Management Service.

RADIUS (LDAP).

Proficient in Linux system administration, with hands-on experience in aarch64 architecture.

Strong scripting skills in Bash, Python for automation and configuration management.

Familiarity with configuration management tools such as Ansible

Experience with networking concepts, protocols (TCP/IP, DHCP, DNS), and firewall configurations.

Knowledge of monitoring tools like Nagios, Zabbix, or Prometheus, and log management tools like ELK stack is advantageous.

Prior exposure to CI/CD pipelines and Git version control is desirable.

Ability to analyze and troubleshoot complex technical issues, providing effective solutions.

Strong security mindset with the ability to implement robust security measures.

Proactive and adaptable, able to thrive in a dynamic startup environment.

Communication and teamwork skills, collaborating effectively with cross-functional teams.

About the Role

The Chief Designer holds ultimate responsibility for the technical integrity, reliability, and innovation of the rocket system — from concept through flight testing. This is a position for an engineering leader who combines deep technical expertise with the ability to manage a team and drive a complex project to completion.

Responsibilities

• Define the technical strategy and system architecture; approve key design decisions
• Lead conceptual and detailed design processes; coordinate subsystems (propulsion, avionics, structures)
• Drive adoption of innovative technologies and materials to improve performance and reduce costs
• Lead and mentor the engineering team: task allocation, quality control, and professional development
• Plan project schedules, manage technical risks, and report status to senior leadership
• Develop and approve ground, bench, and flight test programs, including success criteria
• Oversee subsystem integration, analyze test results, and make critical design decisions
• Ensure complete design and operational documentation; maintain compliance with industry standards and safety regulations

Requirements

• Higher technical degree in aerospace engineering, rocket engineering, or a related discipline
• 5+ years of experience in the design and development of rocket or aerospace systems
• Strong knowledge of subsystem design principles: propulsion, avionics, and structural engineering
• Proven experience managing engineering teams and full-cycle technical projects
• Solid understanding of testing, validation, and certification processes for complex systems
• Willingness to travel: test range in Kyiv Oblast and production sites across Ukraine

What We Offer

• The opportunity to lead development of rocket systems with real strategic impact
• Full authority as Chief Designer — critical technical decisions are yours to make
• A team of highly qualified engineers and access to a modern testing infrastructure
• Competitive compensation — discussed individually
• Full-time position based in Kyiv, with travel to test range and production facilities

About Us

We are a modern defense-sector manufacturing company building high-tech solutions with real strategic impact. Our work is grounded in engineering excellence, rigorous quality standards, and a systematic approach to development. We operate on principles of responsibility, precision, confidentiality, and teamwork — and we invest continuously in technology and production modernization so every specialist sees the direct result of their contribution.

Role Purpose

Support the full engineering cycle across research, development, and product improvement. The role bridges technical expertise, requirements analysis, and component-level work to deliver efficient, reliable, and competitive solutions.

Responsibilities

Component Selection

• Select components based on required technical parameters and mission constraints

Firmware Development & Adaptation

• Build firmware from source for specific camera chipsets; disable unused modules to reduce load and improve boot time
• Configure H.264/H.265 video encoder parameters for optimal balance of image quality, bitrate (radio/fiber transmission), and minimal latency — critical for FPV applications
• Configure, modify, and maintain flight controller firmware (Betaflight, ArduPilot) per hardware and mission requirements
• Write low-level MCU code; manage peripheral devices (sensors, ESCs, radio receivers)
• Optimize system performance to ensure minimal latency and high update rates for precise control

Integration

• Develop or implement bidirectional communication between devices and the flight controller (UART, SPI) for telemetry and OSD data overlay
• Program logic to embed FC data (battery voltage, flight mode, RSSI) directly into the video stream of digital VTX systems
• Integrate and optimize analog and digital video transmission systems for minimum latency and maximum signal quality

Testing & Debugging

• Build and test prototypes
• Test systems under high vibration and extreme temperature conditions
• Monitor resource consumption and optimize code to prevent overheating or in-flight freezes
• Run simulations to validate new solutions prior to deployment
• Plan and conduct flight tests for data collection, issue identification, and final tuning
• Debug hardware interfaces and perform electrical-level diagnostics

Documentation

• Maintain technical documentation, setup guides, and maintenance instructions for all developed systems

Cyber Harbor is a fast-growing Ukraine-based company founded by engineers and researchers who helped defend critical cyber infrastructure during the war. Our work is shaped by real-world experience, and we build AI-powered systems designed to handle complex, high-stakes environments.

We are looking for a specialist who will help build a strong quality assurance process for our company’s IT products, including solutions in the field of artificial intelligence.

In this role, you will be responsible for full manual testing of our products, evaluating them through the lens of real business and user scenarios. For us, it is important not only to verify that the interface works and that the features match the stated functionality, but also to ensure that the system truly solves user problems, processes data correctly, and generates accurate responses to requests.

We expect the candidate to:

• Demonstrate a high level of responsibility, attention to detail, and an understanding that even minor issues in a MilTech product can be critical.
• Show initiative in their testing approach and not limit themselves to formal feature checks.
• Be committed to continuously developing their QA skills and professional expertise, and communicate effectively with different stakeholders.
• Have 2+ years of commercial experience in Manual QA at the Middle level or above.
• Be able not only to find bugs, but also to identify their causes and sources through log analysis, browser developer tools, debugging, and system behavior analysis.
• Understand how HTTP REST APIs work and be able to use tools such as Postman for testing.
• Be familiar with data formats such as JSON, YAML, and XML.
• Understand the basic principles of working with Git, be familiar with deployments, different environments, and semantic versioning.
• Have a solid understanding of the testing process and hands-on experience with core testing artifacts. 
• Ability to work with requirements, conduct requirements testing and exploratory testing, create checklists, test cases, and bug reports, prepare test run reports, and perform smoke and ad hoc testing. 
• Have experience in requirements analysis, test design, defect tracking, and supporting risk management processes.
• Understand why testing across different environments, operating systems, and browsers is necessary, and how to ensure it is done effectively.
• Be ready to work from the office in Kyiv, at least during the product onboarding stage and team integration.

Not required, but would be a plus if you have:

• Experience working with SaaS products or analytical platforms.
• Any experience in test automation, programming, or writing scripts to speed up tasks.
• Understanding of SQL or Cypher queries.
• Relevant QA certifications.

We offer:

• The opportunity to work on national-scale projects with real practical impact.
• Professional growth in a team of strong specialists. The opportunity to build your own QA team and gradually move into Automation QA, if desired.
• An office in Kyiv with a generator and uninterrupted internet access.
• Military deferment.

About us

Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environment, making analytics and situational awareness convenient and accessible while saving time and effort. We create multi-layered digital twins of terrain with dynamic tracking and object/landscape monitoring and predicting.

We are scaling our cloud infrastructure and looking for a DevOps Engineer who can help us build a stable, automated, and production-ready environment.
 

Responsibilities:

• Design, maintain, and optimize infrastructure in AWS / GCP
• Work with Docker and Kubernetes (EKS / GKS / K3s) in production environments
• Build and maintain CI/CD pipelines (GitHub Actions / ArgoCD)
• Implement monitoring and logging solutions (Prometheus / VictoriaMetrics / Loki / Grafana)
• Support Linux-based production servers and troubleshoot infrastructure issues
• Collaborate with backend and ML engineers on deployments, scaling, and production reliability
• Contribute to Infrastructure as Code (Terraform)
• Advise on cloud security, networking, and high-availability patterns
   

Requirements:

• 5+ years experience in software infrastructure, DevOps, or related role
• Hands-on Docker and Kubernetes experience
• Strong experience with AWS or GCP in production
• Experience building and maintaining CI/CD pipelines
• Experience with monitoring and logging systems (Prometheus / VictoriaMetrics / Loki / Grafana)
• Knowledge of Gazebo and ROS is also an asset
• Experience collaborating closely with development teams on deployment and infrastructure automation
• Understanding of cloud networking and security best practices
   

Why you should join us:

• Join a fast-growing Ukrainian-Estonian defense tech company building AI-powered geospatial intelligence tools used in real defense and security operations.
• Work on technologies that transform drone data into actionable 2D/3D terrain models for situational awareness.
• Collaborate with top engineers and researchers on cutting-edge infrastructure and mission-critical systems.
• Make a real impact on technology used in defense and tactical environments.

We are looking for an Autonomous systems engineer with a background in computer vision, control theory and mathematical modelling. The ideal candidate will have a strong math background, experience with autonomous systems, modelling and control design. 

Required Qualifications: 

• 2 years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• System identification and control
• Sensor fusion/signal processing
• Proficiency in C++ and/or experience with Python
• Experience with Linux and single-board computers
• Experience with PID controllers tuning in embedded or autonomous systems
• Ability to quickly navigate through recent research and trends in computer vision and autonomous systems
• Relevant work experience or education in STEM field

Nice to Have:

• Experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Matlab
• Experience with PX4, betaflight, Ardupilot 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with simulation tools (Gazebo, AirSim)
• SITL, HITL testing
• ROS2

We are looking for a Computer Vision Engineer with a solid foundation in classical computer vision and hands-on experience implementing low-level CV algorithms. The ideal candidate will have exposure to SLAM, Visual-Inertial Odometry (VIO), and sensor fusion, with responsibilities adjusted according to experience level.

Responsibilities: 

• Implement and optimize low-level computer vision algorithms under guidance
• Contribute to modules related to feature extraction, tracking, matching, and geometric processing
• Assist in the integration and testing of SLAM/VIO components
• Perform experiments, analyze results, and help prepare reports
• Work closely with senior engineers to explore and apply recent CV research.

Required Qualifications:

• 1+ years of hands-on experience with classical computer vision
• Basic understanding of geometric computer vision principles
• Experience implementing low-level CV algorithms (e.g., filtering, feature detection, camera models)
• Familiarity with SLAM or VIO concepts
• Working knowledge of C++ and Linux
• Ability to learn quickly and navigate recent CV researc
• Degree or ongoing studies in a 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

We invite you to join Sherlock — a recruitment agency operating within a MilTech company structure. We build teams that develop technological solutions to strengthen the country’s defense capabilities. Our work directly impacts the speed and quality of products designed to protect the sky.

We are looking for someone who wants to build a career in recruitment through deep expertise and understanding of business processes. This role is for those who value structure, quality sourcing, and want to work in a strategically important domain.

Who we are looking for:

• A person who is curious and eager to dive deeply into role specifics and market dynamics
• Someone ready to focus on sourcing and initial screening as a key development area
• A detail-oriented and structured individual who can keep information well-organized
• Someone who sees recruitment as a long-term profession, not a temporary step
• A person driven to find strong candidates and influence hiring quality

We are open to candidates with a background in sales, customer service, coordination, or operations who want to transition into recruitment or already have initial experience.

For us, the key factor is mindset: the ability to work with information, understand process logic, and see how business results are formed.

What you will do:

At the beginning, your focus will be on building a strong foundation and supporting operational processes:

• Source candidates through multiple channels and build a high-quality pipeline for open roles
• Maintain and structure the talent database in PeopleForce
• Support candidate communication and coordinate internal hiring stages
• Manage statuses, analytics, and ensure a smooth recruitment funnel
• Gradually develop expertise in the MilTech market and grow into sourcing complex technical roles

Our expectations:

• 1–2+ years of experience in a commercial, coordination, or operational role
• Strong interest in recruitment and a structured learning approach
• Readiness to handle a high volume of sourcing at the initial stage
• High attention to detail and structured work style
• Strong discipline in meeting deadlines and commitments
• Understanding of the importance of the MilTech domain
• English level: B2

What we offer:

• Compensation: 35,000 – 50,000 UAH (depending on experience and qualifications)
• Format: Fully remote
• Expert growth: Opportunity to master recruitment using our standards and gain unique MilTech expertise
• Learning: Hands-on training, structured onboarding, and continuous feedback
• Team: A mature, professional environment that values common sense and ownership
• Meaningful work: You will help find people for projects that contribute to our victory

About the project
We are working on a drone-related technology project as part of OsirisAI.

The role focuses on working with embedded hardware platforms, integrating peripherals and diagnosing low-level system issues. You will work with existing boards, cameras, controllers and communication modules used in drone systems.

Preferred location: Zhytomyr, since the work involves access to physical hardware.

⸻

Responsibilities
 • Work with Linux on embedded systems
 • Debug and develop drivers and hardware integrations
 • Integrate peripherals such as cameras, controllers and CAN modules
 • Diagnose system-level issues between hardware and software
 • Perform low-level debugging and root cause analysis
 • Configure and maintain system components on embedded Linux devices

⸻

Requirements
 • Strong understanding of Linux systems
 • Experience with embedded devices or single-board computers
 • Experience debugging hardware–software interactions
 • Ability to investigate complex technical problems and find root causes
 • Comfortable working close to hardware

Programming languages (practical level):
 • C
 • Python
 • Bash

⸻

Nice to have
 • Experience with drone software stacks such as ArduPilot
 • Experience with video streaming on embedded devices
 • Experience with AI workloads on edge devices
 • Experience configuring device-level networking

⸻

Location
Preferred location: Zhytomyr, Ukraine (hardware access required).
Partial remote work may be possible.

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance

• Research and apply state-of-the-art deep learning methods in computer vision

   

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

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.

We are looking for an experienced Embedded Systems & Firmware Design who is ready to develop intelligent hardware for complex technological solutions—from stabilization platforms to modern UAVs. Your role will combine in-depth microcontroller programming with system architecture design.

Job Responsibilities:

• Designing software architecture for embedded systems (UAVs, stabilization systems, power controllers).
• Selecting components, sensors, and interfaces; debugging prototypes using test and measurement equipment.
• Writing fault-tolerant code for mass-market products, performing refactoring, and supporting firmware throughout the entire lifecycle.
• Coordinating data exchange protocols within the system, participating in sprint planning and requirements gathering alongside the QA department.

• Preparing supporting design and technical documentation and algorithm descriptions.
   

  Qualifications:

• Bachelor’s degree in a technical field; at least 2 years of experience in embedded systems development.
• Proficiency in C/C++, experience working with MCUs in STM32CubeIDE, IAR, or Keil environments.
• Experience with RTOS, understanding of modular architecture, energy efficiency principles, and interrupt handling.
• In-depth understanding of UART, I2C, SPI, CAN, and GPIO.
• Experience working in a Linux environment and proficiency with Git.

• English proficiency sufficient to work comfortably with technical documentation.
   

  The following would be an additional advantage:

• Skills in Altium Designer and knowledge of circuit design.
• Experience in digital signal processing (DSP) or working with radio transceivers.

• Ability to create PC application software for device diagnostics and configuration.

   

We offer:

Career development: vertical and horizontal growth, specialized courses, training, technical exchange, and participation in strategic projects.
Security and stability: reservation of military-duty employees from the first month.
Official employment and social guarantees: vacation, sick leave, full social package.
Legal support: consultations and assistance with military registration issues.
Adaptation: high-quality onboarding with mentoring support and gradual involvement in project activities.
Comfortable conditions: corporate catering, recreation areas, a friendly atmosphere, and a well-equipped shelter on the office premises.
Convenient location: 10 minutes' walk from the metro.

About Us

We are a newly funded MilTech startup building an on-premises platform for automated annotation of petabytes of UAV video and training computer vision models for autonomous flight. We have a strategic partnership with the largest Ukrainian UAV manufacturer and access to what is the largest privately owned UAV video dataset in the world. We are at the very beginning — the technical plan exists, the funding is secured, the data is real — and now we need the right people to turn it into reality.

The Role

We are looking for a Data Annotator / CVAT Specialist to join the founding team. You will be the person who turns raw UAV video into the high-quality labeled datasets that our ML models are trained on. This is not bulk labeling work — you will help define annotation standards, manage the CVAT platform, build quality control workflows, and directly shape the data that drives our autonomous flight models.

You will work closely with the ML engineering team to establish the annotation pipeline from scratch: from ontology design and labeling policy through annotation execution, quality assurance, and feedback loops that continuously improve both label quality and annotation speed.

What You Will Own

CVAT Administration & Workflow
- Set up projects, tasks, and jobs; manage annotation workflows and task routing
- Configure AI-assisted annotation: integrate pre-trained models for auto-labeling and tracking
- Manage user roles, permissions, and review pipelines within CVAT
- Handle data import/export across formats (COCO, YOLO, MOT, CVAT XML)

Annotation Execution
- Annotate UAV video clips using bounding boxes, multi-object tracking (Track Mode with keyframes and interpolation), and classification labels
- Handle complex scenarios: occluded objects, crowded scenes, night/low-visibility footage, fast-moving targets
- Achieve and maintain high throughput without sacrificing label quality

Ontology & Labeling Policy
- Collaborate with the ML team to define and refine the annotation ontology (class definitions, examples, edge cases)
- Document labeling rules: occlusion/truncation handling, minimum box sizes, track start/end criteria, disappearance rules
- Maintain and update annotation guidelines as new classes or scenarios emerge

Quality Control
- Execute the QC pipeline: gold set calibration, double-labeling for inter-annotator agreement, review workflows
- Run automated validation checks: geometry (out-of-frame, zero-area, broken aspect ratios), temporal continuity (teleporting boxes, scale jumps, broken tracks)
- Track quality metrics: agreement scores (IoU + class match), rework rates, model-vs-human correction rates
- Identify systematic errors and feed them back into guideline updates and annotator calibration

Scaling & Active Learning Support
- Process pre-labeled data from ML models: review, correct, and approve auto-annotations based on confidence routing (high/mid/low)
- Prioritize annotation effort on hard cases (low confidence, rare classes, difficult conditions)
- Provide structured feedback to the ML team on where pre-labels consistently fail, driving retraining priorities

What We Are Looking For

Must Have
- 2+ years of hands-on experience in data annotation for computer vision (object detection, tracking, or segmentation)
- Strong proficiency with CVAT — project setup, Track Mode, interpolation, AI-assisted annotation, import/export
- Experience annotating video data (not just static images) — understanding of temporal consistency and tracking
- Familiarity with annotation formats: COCO, YOLO, MOT, Pascal VOC
- Attention to detail and ability to maintain high label quality at volume
- Experience with quality control processes: review workflows, inter-annotator agreement, gold sets
- Comfortable working in Linux environments and with self-hosted tools

Strong Plus
- Experience administering a self-hosted CVAT deployment (Docker-based setup, Nuclio for serverless auto-annotation)
- UAV / drone / aerial imagery annotation experience
- Familiarity with other annotation tools (Label Studio, Supervisely, V7, Roboflow)
- Understanding of ML model evaluation metrics (mAP, IoU, precision/recall) and how annotation quality affects them
- Experience with active learning or pre-annotation workflows
- Basic Python scripting (format conversion, data validation, automation)
- MilTech or defense-related annotation work

What We Offer

- Join an early-stage team where your work directly determines the quality of the data behind our ML models
- Define annotation standards and QC processes from scratch — not just follow someone else's guidelines
- The largest privately owned UAV video dataset in the world — petabyte-scale, impossible to replicate
- Work closely with ML engineers and see how your annotations translate into model performance
- Opportunity to grow into annotation team lead as the team scales
- Open-source-first approach with no vendor lock-in
- Competitive salary
 

 Responsibilities: 
• Develop, optimize, and maintain software applications for single-board computers (SBCs) such as Raspberry Pi, NVIDIA Jetson Nano, and similar platforms. 
• Integrate software components with various hardware interfaces (sensors, actuators, communication modules) on SBCs. 
• Optimize software performance for resource-constrained environments (CPU, memory, power) on SBCs. 
• Debug and troubleshoot software and hardware integration issues on SBC platforms. 

• Collaborate with hardware engineers to define hardware requirements and ensure seamless software integration. 
• Contribute to the development and maintenance of build systems and deployment pipelines for SBC software. 
• Adapt and/or rewrite existing software to run efficiently and reliably on target SBC platforms. 
• Participate in code reviews and contribute to improving software quality. 

Required Qualifications: 
• 3+ years of experience in software development, with a focus on embedded systems or hardware interfacing. 
• Strong programming skills in C, or C++. 
• Strong understanding of Linux operating system and command-line tools. 
• Experience with single-board computers (SBCs) such as Raspberry Pi, NVIDIA Jetson Nano, or similar. 
• Experience with hardware interfacing and communication protocols (UART, SPI, I2C, etc.). 
• Proficiency in software debugging and troubleshooting techniques. 
• Experience with version control systems (e.g., Git). 

Will be a plus: 
• Experience with STM32 
• Python knowledge

We are looking for a Test Engineer responsible for developing and executing product testing procedures, analyzing results, and ensuring compliance with technical requirements within a MilTech production environment.

The ideal candidate is a technically skilled engineer with experience testing complex mechanical or electronic systems.

Responsibilities

· Develop and implement testing methodologies

· Conduct functional and endurance testing

· Analyze test results and document technical findings

· Prepare technical reports

· Collaborate with Engineering and Quality teams

· Participate in certification testing activities

Requirements

· Degree in Engineering or related technical field

· Minimum 2 years of relevant experience

· Understanding of mechanical and/or electronic system testing

· Experience with measurement and laboratory equipment

· Ability to work with technical documentation

· English — B2