NDA Recruitment

Due to team expansion, we are looking for an HR Generalist​ who will ensure accurate and efficient personnel administration processes, maintain HR documentation, and support employees and managers on labor-related matters.

Key Responsibilities

• Support the full cycle of employment administration processes, including hiring, internal transfers, and terminations.
• Maintain HR documentation, including the preparation and processing of orders, leave requests, transfer documents, and other personnel records.
• Provide employees with guidance on Ukrainian labor legislation and internal HR procedures.
• Ensure accurate working time tracking and timely updates to work schedules.
• Prepare and maintain annual vacation schedules.
• Inform and advise employees on new employment conditions, HR processes, and internal procedures.
• Process employee requests related to personnel administration matters.
• Participate in the improvement and optimization of administrative HR processes.

• If required, support activities related to staff schedules, organizational structure updates, workforce planning, and employee bonus systems.

   

Requirements

• 1–2 years of experience in HR administration or personnel administration.
• Good knowledge of current Ukrainian labor legislation.
• Hands-on experience in personnel administration and HR record-keeping.
• Experience with staff schedules (development and updates) will be considered an advantage.
• Experience in workforce planning based on production needs will be a plus.
• Experience with employee bonus systems (development, implementation, or improvement) will be considered an advantage.
• Previous experience in a manufacturing company or production environment will be an advantage.
• Proficiency in MS Office.
• Ability to work with large volumes of information while maintaining a high level of accuracy.

• Strong communication skills.

   

Hard Skills

• Knowledge of Ukrainian labor legislation.
• Personnel administration and HR record-keeping.
• Preparation of HR reports.

• Proficiency in MS Office.

   

Soft Skills

• Strong communication skills.
• Ability to handle sensitive HR matters appropriately and professionally.
• Attention to detail and a high level of responsibility.
• Ability to work with large volumes of information and prioritize tasks effectively.
• Analytical thinking.
• Initiative and proactivity.
• Ability to collaborate effectively with different departments.

💼 We Offer:

• Official employment.
• Stable salary above the market level.
• Military reservation for men.
• The opportunity to influence internal processes.
• Support and development in a professional environment.

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++

We are looking for a Data Engineer to join our team and play a key role in building scalable, reliable, and business-focused data products from the ground up. This is a great opportunity to contribute to the development of core data infrastructure, influence technical decisions, and help establish best practices in data engineering across the organization.

Responsibilities:

• Build data engineering products (data models, pipelines, data quality automations, monitoring), end-to-end ownership of data products.
• Collaborate closely with data analysts, PMs, and stakeholders on both new and existing data products

• Apply best engineering CI/CD practices to data workflows and processes

   

Requirements:

• 3+ years of experience in Data Engineering, Analytics Engineering, or a related field
• Strong knowledge of SQL, Python, and dbt
• Hands-on experience with ELT/ETL, data quality, and analytics engineering
• Experience working with cloud platforms such as AWS, GCP, or Azure

• Experience with cloud data warehouses such as Databricks, Snowflake, BigQuery, Redshift, or similar

   

Nice to have:

• Strong attention to automation
• DevOps background
• Product engineering mindset (focus on business impact, not just data engineering)
• Experience with BI tools and delivering impactful analysis

Our partner is building category-defining military technologies that are shaping outcomes on the battlefield. The opportunity is to build a global technology brand associated with innovation, reliability, real battlefield impact and to create a coherent brand system across a growing portfolio of products and categories. 

Looking for a Brand Lead / Head of Brand who has already built and owned a company-level brand platform and can extend it across a complex product portfolio. 

You will shape how the company, products, and ecosystem are perceived by customers, partners, governments, operators, and the broader market. 

This is not a campaign management or coordination role. You will own how the company and its products are positioned, structured, expressed, and perceived across markets. 

Your Role 

You own the brand platform, brand architecture, and brand direction across the company and product portfolio. 

You will define the system that connects the corporate brand, product brands, categories, narratives, visual identity, and external communications into one clear and differentiated market presence. 

Your focus: 

• Build and evolve a clear, differentiated, and scalable company brand platform 
• Define the brand architecture across product portfolio and new launches 
• Define positioning, narrative, tone of voice, visual direction, and core brand standards 
• Translate the reality of our technology and battlefield performance into a credible and differentiated brand 
• Create consistency across products, communications, visuals, messaging, and external presence 
• Guide and review brand-related work across design, video, copy, PR, events, social media, presentations, and product materials 
• Strengthen awareness, trust, and category leadership in local and international markets 
• Ensure the company is perceived as a technology leader, not just another manufacturer 

Your Skills and Experience: 

• 7+ years in brand strategy, brand leadership, product brand marketing, or related senior roles 
• Proven experience owning or building a company-level brand platform 
• Proven experience managing brand architecture across a portfolio of products or sub-brands 
• Experience defining positioning, narrative, tone of voice, and visual direction 
• Ability to connect corporate brand strategy with product positioning and go-to-market execution 
• Ability to understand highly technical products and translate them into clear, credible market value 
• Strong understanding of buyer psychology, competitive strategy, category positioning, and international markets 
• Strong strategic thinking combined with hands-on execution 
• High ownership and the ability to make decisions in fast-changing, high-ambiguity environments 

You will not succeed in this role if you prefer operating as a coordinator instead of an owner.  

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

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

We consider engineers at Middle+ level.

Responsibilities:

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

Required qualifications:

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

Would be an advantage:

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

What We Offer:

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

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

Key Responsibilities:

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

Required Qualifications:

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

Nice to Have:

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

What We Offer:

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

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

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

Responsibilities:

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

Requirements:

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

Nice to Have:

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

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

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

Required Qualifications

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

Nice to Have

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

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

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

Responsibilities:

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

Required Qualifications:

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

Nice to Have:

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

Responsibilities:

• Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
• Assist Data Engineers with deploying and maintaining data pipelines.
• Act as the primary contact for ML and Data teams on infra-related requests.
• Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
   

Must have:

• Knowledge of Python, Terraform, Docker, Linux.
• Hands-on experience with cloud environments (Azure prefered).
• Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).

Nice to have:

• Familiarity with Kubernetes.
• Experience with FFmpeg or GStreamer for video processing and streaming.
• Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
• Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).

• Надаємо бронювання від мобілізації

We are looking for a Threat Intelligence Analyst to join our cybersecurity team and strengthen the company’s proactive defense capabilities.

This role combines cyber threat intelligence, proactive investigations, and risk-oriented analysis. We are looking for a specialist who can identify emerging threats, analyze attacker behavior and TTPs, assess their relevance to the business environment, and help improve the organization’s detection and response capabilities.

You will work closely with SOC, IT, and Risk Management teams to transform threat intelligence into actionable security insights and recommendations.
 

Responsibilities

• Collect, analyze, enrich, and contextualize cyber threat intelligence from multiple sources, including OSINT, CERTs, vendors, and industry feeds
• Monitor emerging threats, attacker activity, vulnerabilities, and adversary TTPs relevant to the organization
• Conduct proactive threat hunting activities across SIEM, EDR/XDR, cloud environments, and other telemetry sources
• Develop and validate hypotheses based on threat intelligence and behavioral patterns
• Support investigations related to incidents, suspicious activity, and threat intelligence findings
• Identify gaps in detection and response capabilities and provide recommendations for improvement
• Assess potential business impact and risk associated with identified threats
• Prepare analytical reports, threat assessments, and actionable recommendations for technical and non-technical stakeholders
• Collaborate with SOC and IT teams to improve detection logic, monitoring, and security processes
   

Requirements

• 2+ years of experience in Threat Intelligence, Threat Hunting, SOC L2/L3, DFIR, or Incident Response
• Strong understanding of MITRE ATT&CK framework
• Hands-on experience with SIEM platforms (Microsoft Sentinel, Splunk, QRadar, etc.)
• Experience working with EDR/XDR solutions
• Understanding of cyber threat intelligence processes and proactive threat hunting methodologies
• Strong analytical and investigative skills
• Ability to work with incomplete or ambiguous information
• Understanding of security risks and attack vectors
• Strong communication skills and ability to explain technical findings clearly
   

Nice to have

• Experience with Purple Team activities
• Understanding of cloud security (Azure / AWS / GCP)
• Experience with KQL, Python, Sigma, or detection engineering
• Experience with threat modeling or risk management processes
• Familiarity with automation and detection-as-code approaches

We are looking for an Application Security Engineer to help build security into the software development lifecycle across our products and platforms.

In this role, you will work closely with Engineering, DevOps, Architecture, and Security teams to integrate security controls into development processes, identify risks early, and help teams build secure solutions without unnecessary bureaucracy.
 

Responsibilities

• Define and validate security requirements for applications, APIs, integrations, and new services.
• Participate in architecture and design reviews to identify security risks at early stages.
• Build and improve Secure Software Development Lifecycle (SSDLC) practices.
• Integrate security controls into CI/CD pipelines, including SAST, DAST, SCA, Secret Scanning, Container and IaC Scanning.
• Perform security assessments of web applications, APIs, backend services, and AI-driven solutions.
• Support development teams with remediation activities, secure coding practices, and security best practices.
• Develop security standards, baselines, templates, and engineering guidelines.
   

Requirements

• 2+ years of experience in Application Security, DevSecOps, Security Engineering, or a similar role.
• Strong understanding of SSDLC and secure development practices.
• Hands-on experience with SAST, DAST, SCA, threat modeling, and security reviews.
• Good knowledge of OWASP Top 10, OWASP ASVS, API Security, Authentication, Authorization, and Secure Design principles.
• Experience integrating security controls into CI/CD pipelines.
• Familiarity with container security and Kubernetes environments.
• Experience with Infrastructure as Code security (Terraform is a plus).
• Scripting skills in Python and/or PowerShell.
• Understanding of software supply chain security and dependency management.
• Strong communication skills and ability to work effectively with engineering teams.
   

Nice to Have

• Experience with Bug Bounty programs or CTFs.
• Experience securing AI/ML systems and services.
• Experience with Azure, AKS, GitHub Enterprise, Checkmarx, Trivy, or similar tooling.

We are looking for a Business Analyst  with experience in Microsoft Dynamics Business Central to join our team. This role involves close collaboration with business stakeholders, analysis of processes, and implementation of ERP solutions.
 

🔧 Responsibilities

• Analyze and document business requirements
• Gather and formalize functional requirements
• Configure and support Microsoft Dynamics Business Central
• Participate in ERP implementation projects
• Communicate with stakeholders and end users
• Prepare documentation (BRD, SRS, user stories)
• Participate in testing and go-live activities
• Provide post-release support
   

✅ Requirements

• 3+ years of experience with Microsoft Dynamics Business Central (or NAV)
• Understanding of business processes (finance, supply chain, sales, procurement)
• Experience in writing business and technical documentation
• Experience in ERP implementations
• Strong communication skills
   

➕ Nice to have

• Experience with AL development or understanding of BC customization
• Experience with system integrations
• Microsoft Dynamics certifications 

We’re looking for a Monetization Lead who takes ownership, thinks strategically, and drives commercial decisions with speed and clarity. This is not a finance operations role; you will shape how we price, package, and capture value across products, systems, and markets. 

Your Role 

You own monetization strategy across a product ecosystem. 

Your focus: 

• Develop pricing and monetization strategies across product categories, customer segments, and markets 
• Understand buyer behavior, willingness to pay, procurement dynamics, and competitive pricing landscapes 
• Define how products, systems, services, and software should be packaged and monetized 
• Ensure monetization decisions align with positioning, products’ value, and long-term category leadership 
• Build frameworks, processes, and intelligence systems that improve pricing and commercial decision-making over time 
• Support strategic commercial decisions 

Your day-to-day 

• Work closely with Marketing, Sales, Finance, Product, and Leadership to shape commercial strategy 
• Analyze competitors, tenders, procurement trends, and pricing dynamics across markets 
• Develop pricing models, margin scenarios, and monetization frameworks 
• Identify opportunities for premium positioning, bundling, and value capture 
• Support negotiations and strategic deals with pricing insights and recommendations 
• Build and improve systems for pricing intelligence and market analysis 
• Turn complex commercial data into clear recommendations and decisions 

Your Skills and Experience 

• 5+ years in pricing, monetization, strategy, commercial excellence, consulting, product strategy, or similar roles 
• Strong analytical and strategic thinking 
• Experience working with complex products, systems, or B2B/B2G markets 
• Ability to connect pricing decisions with market dynamics and customer value 
• Comfortable working in fast-changing, ambiguous environments 
• High ownership and bias toward action 
• Strong communication - clear, direct, and structured 
• Experience with defense, hardware, SaaS, marketplaces, manufacturing, or deep tech is a plus 

You will not succeed in this role if you see pricing as spreadsheets and approvals rather than a strategic weapon.