Jobs miltech

Overview

We are looking for an experienced UAV Pilot-Technician (multirotor) to join the flight team responsible for testing our flagship R&D product — a GPS-denied alternative navigation system. The candidate must confidently operate drones, be technically literate, have a deep understanding of UAV core components, and hands-on experience with Ardupilot-based systems.

The role combines hands-on piloting of multirotor UAVs with testing and technical support of all flight-related aspects.

Responsibilities

• Pilot multirotor UAVs & fixed-wings in field-testing scenarios
• Perform pre-flight checks and UAV setup
• Maintain airframes and supporting equipment
• Support flight planning and adherence to safety procedures
• Troubleshoot and repair UAV hardware issues
• Record and report flight data as needed
• Collaborate with engineers during testing and development of new platforms

Requirements

Must-have

• Real flight time on multirotor UAVs
• Solid understanding of how core UAV components work
• Advanced-user level of Ardupilot
• Experience with mission-planning software (Mission Planner)
• Ability to safely operate a drone in field conditions
• Diagnostic and repair skills for UAVs and supporting equipment

Nice to have

• STEM (Science, Technology, Engineering, Mathematics) education
• Experience with fixed-wing UAVs
• Combat experience
• English at B1 level or higher

Personal qualities

• Responsibility
• Attention to detail
• Communication skills and ability to work in a team
• Initiative

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

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Middle / Senior Computer Vision / Deep Learning Engineer to extend our onboard navigation capabilities with modern perception and learning-based methods.

This is a hands-on R&D role: you work from research and prototypes to production on edge hardware, collaborate with software, and flight teams, and help shape how new CV/DL features are built and shipped. The role suits someone who can follow state-of-the-art work, implement what fits our constraints, and care about real-world performance—not only offline benchmarks.

Responsibilities

Relocalization & navigation

• Design and develop satellite, map, and semantic navigation capabilities that improve the overall quality of our navigation
• Build and maintain pipelines for map and reference-data preparation before missions
• Extend the existing visual-inertial navigation stack with relocalization and map-based aiding features
• Develop training pipelines for these tasks (data preparation, training, evaluation, and iteration)
• Create utilities that make map preloading and mission setup convenient for operators and integrators
•  

Research & implementation

• Track relevant research and industry approaches; prototype and adopt methods where they clearly improve the product
• Reimplement or adapt algorithms when off-the-shelf solutions do not fit our data, hardware, or latency requirements
• Define evaluation metrics and acceptance criteria for new features before field and deployment rollouts
•  

Edge deployment & production

• Optimize models and inference for target onboard hardware
• Integrate new features into the production codebase with stable APIs, logging, and failure handling
• Take part in architecture decisions, code review, and team practices that keep production quality high as the stack grows
•  

Required skills & experience

• 3+ years of practical experience in computer vision and deep learning
• Strong Python; ability to write clear, maintainable code for experiments and production paths
• Experience with training and deploying deep learning models (PyTorch)
• Familiarity with model optimization for edge or embedded devices (pruning, quantization, ONNX/TensorRT-class tooling, or equivalent)
• Comfort working with geospatial or map-related data and preprocessing pipelines
• Practical production mindset: reproducible experiments, versioning, and validation on real data
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication
•  

Nice to have

• Experience with deep learning keypoint detection and matching approaches
• Comfortable with geometric computer vision (camera models, epipolar geometry, robust estimation)
• Multi-sensor fusion / SLAM / EKF background
• UAV, robotics, or aerospace field experience
• Experience with satellite or aerial imagery, semantic segmentation, or visual place recognition
•  

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Junior / Middle Software Engineer to strengthen our product software team.

This is a hands-on role on onboard navigation product software: you support and extend the system, build and improve tooling, and help keep releases reliable through simulation, replay, and hardware-in-the-loop validation.

The role suits someone who likes understanding how complex software behaves end to end, writes clear code and tests, and wants to work on real UAV systems with experienced engineers.

Responsibilities

System development

• Implement and maintain parts of the onboard product software and supporting services
• Develop internal tools, automation, and utilities used across development and release workflows
• Integrate new features into the production codebase with stable behavior, logging, and configuration

Product software support & verification

• Support, test, and debug components of the onboard navigation product software
• Verify algorithm and integration changes before release: unit tests, simulation scenarios, replay workflows, and hardware-in-the-loop checks
• Investigate failures from CI, field logs, and developer reports; reproduce issues and help resolving them
• Extend test coverage and internal utilities where routine checks can be automated

Engineering quality & delivery

• Improve and maintain CI/CD for the product codebase (builds, Docker images, automated test pipelines, release checks)
• Optimize hot paths and tooling where profiling shows clear wins
• Follow team code standards, participate in code review, and help keep the codebase maintainable

Simulation & replay tooling

• Run and maintain simulation and replay-based validation (software-in-the-loop, logged flight replay, autopilot estimator replay)
• Help expand test scenarios and regression checks as the product and integration surface grow
• Work with flight and navigation teams to turn real incidents into repeatable test cases
   

Required skills & experience

• 1+ years of professional software development experience, or strong equivalent from internships, pet projects, or open source with evidence of shipped work
• Solid Python: reading & extending existing codebases, writing tests, debugging
• Experience with multi-threading, multi-processing, or async applications
• Comfort with Linux as a daily development environment
• Experience with Git and collaborative workflows
• Basic understanding of automated testing (pytest or similar) and why regressions matter in production systems
• Ability to read logs, configs, and stack traces and communicate findings clearly to the team
• Docker for local and CI environments
• GitHub Actions or similar CI/CD
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication

Nice to have

• YAML-driven configuration (e.g. Hydra-style setups)
• MAVLink, drone autopilots, or robotics middleware
• Simulation experience (SITL, game-engine or physics simulators, recorded-data replay)
• HDF5 or other structured telemetry / time-series data
• C++ or willingness to work alongside C++ components when replay or autopilot tooling requires it
• Interest in embedded or resource-constrained targets

What we offer

• Competitive salary
• Reservation from mobilization
• Impact on improving our country's defense capabilities
• 21 days of vacation + public holidays, sick leaves

About the role

We're looking for a middle DevOps / SysOps engineer to take care of the infrastructure our product runs on: on-prem virtualization, network and VPN connectivity between sites, and the delivery pipelines on top of it. The team is small, so you get real ownership from the start — and room to grow into your own areas of responsibility.

Responsibilities

* Operate and develop on-prem virtualization: VMware ESXi + vCenter (clusters, resource pools, storage, patching and version upgrades)

* Administer network infrastructure: MikroTik, Cisco, pfSense — VLANs, routing, NAT, firewall policies

* Build and maintain WireGuard site-to-site and client VPN topologies between offices, labs and cloud

* Maintain Ubuntu servers: systemd, journald, configuration management, hardening, monitoring and alerting

* Support Docker-based build and deployment workflows

* Develop and maintain CI/CD pipelines in GitHub Actions

* Manage S3-compatible object storage for backups and build artifacts

* Own backup and restore procedures, including regular recovery testing

* Write technical documentation and runbooks for what you build

* Participate in incident response and on-call rotation

Requirements

* 2+ years of commercial experience in DevOps / system administration / infrastructure

* Production experience with VMware ESXi and vCenter

* Hands-on experience with at least two of: MikroTik RouterOS, Cisco, pfSense / OPNsense

* Networking fundamentals: L2/L3, VLAN, static and dynamic routing, NAT, firewall policies, DNS, DHCP, TLS, SSH

* WireGuard (or IPsec / OpenVPN): configuring tunnels and routing between sites, troubleshooting asymmetric routing

* Docker and Docker Compose: builds, registries, networking, volumes

* CI/CD with GitHub Actions (or GitLab CI with readiness to move to GHA)

* Linux (Ubuntu): confident CLI, systemd, journald, bash scripting

* Basic experience with S3-compatible storage or a public cloud provider (AWS / Azure / GCP / Hetzner)

* Monitoring and logging basics: Zabbix, Prometheus + Grafana, or ELK

* English for technical communication (reading docs, written async communication)

Nice to have

* Cisco FTD / FMC, Cisco ISE (802.1X, NAC, posture)

* Certifications: VCP-DCV, CCNA / CCNP Security, MTCNA / MTCRE / MTCINE, LFCS / RHCSA, AWS SAA

* Other VMware products: vSAN, NSX, Horizon (VDI), VCF, Site Recovery Manager, Veeam Backup & Replication

* Automation and IaC: Ansible, Terraform, Python

* Information security fundamentals: PKI, secrets management, hardening baselines (CIS), secure boot

* Bare-metal / Raspberry Pi / embedded Linux

* Experience with isolated or air-gapped environments

What we offer

* Competitive salary

* Reservation from mobilization

* Office in Kyiv with shelter access, generator and Starlink

* Possibility of hybrid work format

* Impact on improving our country's defense capabilities

* 21 days of vacation + public holidays, sick leaves

DroneOps specialises in advanced navigational systems for UAV operations. Our focus is on developing robust solutions that enhance UAV autonomy and reliability, facilitating operations in environments where traditional GPS may be compromised. Our technology is designed to be integrated across a range of UAV platforms, delivering precision, resilience and cost-effective enhancements to existing hardware.

We are looking for an embedded software engineer to own the platform layer of our onboard computing: the Linux images our navigation software ships on, the provisioning and secure boot chain that protects it in the field, and the tooling that turns a bare Raspberry Pi Compute Module into a flight-ready device. Our team is small and cross-functional. You will work close to the hardware and close to the people writing the algorithms that run on it, with real ownership of the platform from the first week.

MUST HAVE SKILLS

• 3+ years of commercial experience with embedded Linux (for the Senior level; from 2 years for Middle)

• Strong Linux internals: boot flow, initramfs, systemd, journald, udev, device tree and overlays, kernel modules

• Hands-on experience with Raspberry Pi as a production platform, not only as a dev board — Compute Module 4 / 5, EEPROM and bootloader configuration, rpiboot / usbboot

• Building custom OS images: pi-gen, rpi-image-gen, or an equivalent stack (Yocto, Buildroot, debootstrap)

• Secure boot in practice: signed boot images, key management, OTP-fused key hashes, encrypted or verified rootfs (dm-crypt / LUKS, dm-verity)

• Experience with device provisioning pipelines: key injection, per-device identity, factory-side automation

• Flashing and mass-provisioning workflows: reproducible builds, image verification, recovery from a bricked device

• Confident CLI, bash and Python scripting for build and provisioning automation

• Cross-compilation and toolchain fundamentals (ARM64)

• Git and CI-driven builds (GitHub Actions)

• Reading schematics and datasheets well enough to talk to hardware engineers

• At least Intermediate English (reading docs, written async communication)

NICE TO HAVE SKILLS

• A/B (dual-slot) update schemes and OTA frameworks: RAUC, Mender, SWUpdate

• U-Boot, custom kernel configuration and patching, PREEMPT_RT

• Peripheral bring-up: UART, I2C, SPI, GPIO, CSI cameras, PPS/GNSS receivers

• ArduPilot, PX4, MAVLink or another autopilot stack

• Other SoM platforms: NVIDIA Jetson, i.MX, Rockchip

• Hardware-accelerated video and computer vision pipelines on ARM (V4L2, GStreamer, VPU/GPU offload)

• Information security fundamentals: PKI, HSM or KMS-backed signing, secrets handling, threat modelling for physically accessible devices

• Self-hosted GitHub Actions runners for image build pipelines

• Docker for reproducible build environments

• Power management and thermal constraints on airborne platforms

• Experience with restricted or air-gapped development environments

YOUR TASKS MAY INCLUDE

• Designing and maintaining the Raspberry Pi OS images our navigation software runs on — minimal, reproducible, versioned

• Building and operating the secure boot and provisioning chain: signing keys, OTP key programming, encrypted rootfs, factory provisioning stations

• Automating image build, signing and flashing in CI, so a release is an artifact rather than a manual procedure

• Bringing up new hardware revisions and peripherals together with the hardware team

• Implementing and testing a safe field update mechanism, including rollback

• Debugging boot, driver and performance issues on real devices — serial console, ftrace, perf, kernel logs

• Hardening the platform: attack surface reduction, secrets storage, protecting IP on a device that can be physically captured

• Writing the technical documentation and runbooks for the platform you own

WHAT WE OFFER

• Competitive salary

• Reservation from mobilization

• Office in Kyiv with shelter access, generator and Starlink

• Possibility of hybrid work format

• Impact on improving our country's defense capabilities

• 21 days of vacation + public holidays, sick leaves

Aero is an international team of engineers based in Ukraine. The company was founded in August 2026 and raised its first round of capital.

We're looking for an Aircraft Designer / Aerodynamics Engineer to join the core build team and own the aerodynamic and aero-structural design of an airframe — from CFD and stability analysis through to a flying prototype and first deployments.

What you'll do

• Design and iterate the BWB airframe geometry, balancing aerodynamic efficiency, stability/control, and shaping constraints.
• Run aerodynamic modeling and simulation (CFD, stability & control, performance envelope) to support design decisions.
• Work closely with the Head of Design on composite structure, control-surface actuation, and integration with propulsion and avionics.
• Iterate quickly across a batch-build, test-and-fly development cycle rather than a single "golden" prototype.

What we offer

• A decent stock option plan, but a modest salary for the first 6-9 months (the salary will be increased as soon as we accomplish the plan);
• Opportunity to create an aircraft with unique properties, drive the product development, and grow with us;
• Work in an international team that worked on world-famous products;
• Commitment to global security;
• A lot of work and fun in your new journey with us;
• Reservation from mobilization.

What we expect

• Proven experience and excellent knowledge of the domain;
• Team members learn Ukrainian, but English is still the main team language;
• A great and open-minded human being.

Location: Kyiv, Ukraine

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.

Join us to develop SLAM, Visual-Inertial Odometry (VIO), and state estimation solutions for real-world robotics and navigation systems.

We're looking for an engineer with a strong mathematical background and extensive experience in classical and geometric computer vision. You'll independently design, prototype, and optimize computer vision algorithms, quickly turn research ideas into working solutions, and contribute to technical decisions across the development process.

Responsibilities:

• Design, develop, and optimize classical and geometric computer vision algorithms
• Work with feature tracking, matching, and geometric processing
• Develop and improve SLAM / VIO and state estimation 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:

• 5+ years of professional experience in computer vision, robotics, or a related field
• Deep understanding of linear algebra, statistics, and optimization methods
• Strong hands-on experience with classical and geometric computer vision
• Strong understanding of camera models, feature detection and tracking, geometry, and state estimation
• Proven experience developing SLAM, Visual-Inertial Odometry (VIO), or related localization systems
• Strong C++ development skills and experience with Linux
• Experience designing, implementing, and optimizing production-ready computer vision algorithms
• Ability to independently investigate research papers and implement state-of-the-art methods
• Experience working on R&D projects
• Degree in Computer Science, Mathematics, Physics, Engineering, or 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

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)

Our client is an Israel-based technology company rebuilding a strategic military simulation and decision-support platform.

The product is designed to model modern multi-domain conflict across land, air, maritime, subsurface, cyber, information, and cognitive domains. Its technical direction combines generative AI with formal knowledge, structured world models, and explainable reasoning.

This is a full-time, long-term role. The team is being formed as the product develops, and this role will own a core part of its semantic and reasoning foundation.

The Role

We are looking for a Senior Knowledge Graph Engineer to design and build the semantic layer of the platform: ontologies, knowledge models, inference logic, and explainable reasoning.

This is not a generic graph-database role. We need someone who can apply RDF, OWL, Semantic Web principles, SPARQL, and ontology-based reasoning to a complex real-world product.

What You’ll Do

- Design the ontology and knowledge-graph architecture for a complex military-simulation domain.

- Model entities, relationships, events, constraints, rules, and operational scenarios.

- Build RDF, OWL, and SPARQL-based semantic models and queries.

- Implement ontology-based reasoning, automated inference, and explainable logical conclusions.

- Work with the AI Architect to connect structured knowledge and reasoning with LLM and generative-AI capabilities.

- Translate input from domain experts into maintainable and extensible software models.

- Build practical, production-grade semantic components rather than research-only prototypes.

- Help establish the technical foundations of a growing product team.

What You Bring

- Strong hands-on experience with knowledge graphs, ontologies, and Semantic Web technologies.

- Practical expertise with RDF, OWL, SPARQL, ontology engineering, and semantic reasoning.

- Experience with automated reasoning, inference engines, rule systems, or explainable AI.

- A track record of building real products or production systems based on knowledge graphs or semantic technologies.

- Strong understanding of knowledge representation and how to model complex, evolving domains.

- Ability to work closely with AI engineers, software architects, and domain experts.

- Experience in defence, military, intelligence, command-and-control, operational planning, or military simulation is strongly preferred.

Nice to Have

- Experience with Stardog, GraphDB, Apache Jena, Protégé, or comparable semantic technologies.

- Experience with Neo4j in a semantic, ontology, RDF, or reasoning-oriented context.

- PhD or strong research background in AI, knowledge representation, logic, Semantic Web, formal methods, mathematics, or a related field.

- Experience combining knowledge graphs and ontologies with LLMs or generative AI.

- Experience with neuro-symbolic AI or structured world models.

About the Client

Our client is an Israel-based technology company rebuilding a strategic military simulation and decision-support platform.

The product is designed to model modern multi-domain conflict across land, air, maritime, subsurface, cyber, information, and cognitive domains. It will support human-vs-human, human-vs-AI, and AI-vs-AI scenarios.

This is a full-time, long-term role. The team is being formed as the product develops, and this person will have a meaningful influence on its technical direction and architecture.

The Role

We are looking for a hands-on AI Architect / Technical Lead to help redesign an existing prototype and turn a complex strategic-simulation concept into a working product.

You will own key architectural decisions across AI, simulation, knowledge representation, and system design. The product direction combines LLMs and generative AI with formal knowledge, rules, structured world models, and symbolic reasoning.

What You’ll Do

- Define and own the overall software and AI architecture of the platform.

- Lead the technical redesign and hands-on development of the existing prototype.

- Design simulation, decision-support, and AI-driven components for multi-domain military scenarios.

- Combine LLMs and generative AI with formal knowledge, rules, symbolic reasoning, and structured world models.

- Build practical prototypes quickly while establishing a clear path toward a robust production product.

- Work directly with domain experts to translate military and operational concepts into usable software models.

- Drive technical decisions, evaluate trade-offs, and set architectural standards as the team grows.

What You Bring

- Strong hands-on experience in software and AI architecture for complex products.

- Practical experience with LLMs, generative AI, and neuro-symbolic or symbolic-AI approaches.

- Experience with knowledge representation, knowledge graphs, ontologies, structured world models, or rule-based systems.

- Proven ability to move from ambiguous concepts to working software and prototypes.

- Strong product-engineering mindset: you can design, build, and iterate, not only research or advise.

- Relevant experience in military simulation, wargaming, defence software, command-and-control systems, operational research, military decision support, or a closely related domain.

- Ability to take technical ownership in an early-stage, fast-moving environment.

Nice to Have

- Experience with professional or serious wargaming systems.

- Experience with simulation or game-engine technologies.

- Experience building AI agents or multi-agent systems.

- Background in military AI, defence technology, intelligence, or operational planning.

- Experience with explainable AI, formal logic, automated reasoning, or semantic technologies.

We are looking for a Senior Solution Engineer to join our team and support the successful integration and deployment of autonomous systems.
 

In this role, you will serve as the primary technical interface for partners, helping them integrate and deploy software and hardware solutions into their platforms. You will work closely with partners to understand their technical requirements, configure and adapt existing solutions, contribute to software development, and ensure successful implementation.
 

You will collaborate with cross-functional engineering teams to solve complex technical challenges, support product improvements, and help deliver reliable, high-quality solutions. This role is ideal for an engineer who enjoys combining hands-on technical work with customer collaboration and system-level problem solving.
 

Responsibilities:

• Serve as the primary technical point of contact for partners throughout integration and deployment projects
• Integrate partner systems with software and hardware solutions both remotely and on-site
• Configure, customize, and adapt existing solutions to meet partner requirements
• Contribute to the development of software solutions, from standalone applications and plugins to the main software codebase
• Manage software releases, including build preparation, release creation, testing, and resolving release-related issues
• Validate software releases before they are delivered to operational teams
• Collaborate with product and engineering teams to deliver new features and improvements
• Translate partner requirements into clear technical specifications aligned with product capabilities
• Troubleshoot software, hardware, and system integration issues, escalating complex challenges when required
• Support system validation, field testing, and deployment activities
• Contribute to technical documentation and continuous improvement of engineering processes
   

Requirements:

• Experience working directly with partners or customers in a technical engineering environment
• Strong proficiency in Python, C++, and Linux (Ubuntu)
• Experience integrating hardware components into embedded systems
• Basic hands-on hardware experience and understanding of fundamental electronics principles
• Solid understanding of embedded communication protocols (CAN, I2C, SPI, etc.)
• Experience with electrical and/or mechanical system design
• Ability to design wiring diagrams and apply best practices to minimize electrical interference
• Understanding of control theory and flight control
• Hands-on experience with multicopter and fixed-wing UAVs
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams
• Willingness to travel for on-site integration, testing, and deployment activities
   

We Offer:

• Official employment under Ukrainian labor law
• Military booking
• Medical insurance
• Individual English lessons
• Stock Options
• Opportunity to work on cutting-edge UAV systems and grow professionally

Complete interview process:

• Intro call with recruiter → HR interview → Technical interview → Final interview with the team's leadership → Pre-offer → Security check