Jobs at DefTech companies

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

Required skills:
 

• 2+ years of professional experience in C++;
• Strong background in mathematics (linear algebra, calculus) and physics;
• Experience with concurrent and IPC programming;
• Experience in algorithms development;
• Familiarity with Linux.

Will be a plus:
 

• Experience with software development for embedded platforms (RPi, Jetson, etc.);
• Experience developing image or video processing / control systems pipelines;
• Experience with Python scripting.

Responsibilities:

• Development of control and video systems for UAV, incl. integration with 3rd party modules;
• Integration of the sensors (from software perspective) on the UAV platform;
• Participating in real-world validation and testing.

👾 We offer:

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

We’re growing fast, and we’re looking for a Field Marketer to lead demand generation and campaign execution for our B2B growth. In this hands-on role, you’ll be launching demand generation, running events, campaigns, and webinars — turning strategy into measurable pipeline. You’ll take full ownership of campaign execution, work closely with our Product Marketing team, and report directly to our CBDO.

Key Responsibilities

• Own demand generation campaigns end-to-end — planning, launch, and results analysis.
• Manage the marketing funnel, from first touch to MQL handoff, keeping sales supplied with qualified leads.
• Organize and run conferences, trade shows, and webinars — logistics, vendor coordination, and post-event analysis. Most events are virtual, with occasional travel required.
• Brief and manage external contractors — designers, videographers, writers — to produce marketing assets on time and on brief.
• Identify, test, and scale new acquisition channels based on performance data.
• Monitor campaign performance using key metrics (CPL, MQL, conversion, ROAS) and translate results into next steps.
• Collaborate with Product Marketing and sales to keep campaigns aligned with company priorities.
•  

Requirements

• Proven, hands-on track record in B2B marketing, with real ownership of campaign execution — not only planning.
• Successful track record of running demand generation or growth campaigns independently, start to finish.
• Experience organizing events (conferences and/or webinars) end-to-end.
• Experience managing external vendors, agencies, or contractors.
• Strong project management skills — comfortable handling multiple campaigns and deadlines at once.
• Results-oriented mindset with a high level of autonomy and responsibility.
• Ability to stay organized and prioritize effectively across several moving parts.
• At least an Upper-Intermediate (B2) level of English.
• Willingness to travel occasionally for key conferences and events.
   

Nice to have

• Experience with HubSpot or a similar marketing/CRM platform.
• Basic copywriting or visual/design sense — enough to brief well and evaluate vendor output.
• Experience working closely with a sales team on lead handoff and alignment.

We Offer

• Opportunity to contribute to a mission-driven startup and support prestigious clients, including governments worldwide, enterprise clients, and leading NGOs in tackling global security challenges.
• Autonomy and freedom to drive experiments and bring your own ideas to life.
• Work from wherever you’re most productive — the role is 100% remote. If you’d rather work alongside the team in person, we also offer coworking spaces in Kyiv and Lviv.
• Flexible, unlimited time-off policy.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a proactive, results-driven Lead Generation Specialist to join a team building technology solutions for DefenseTech - a person who will take ownership of outbound lead generation and cold outreach processes.

Responsibilities:
- Lead Sourcing & Prospecting: Independently identify relevant companies, key decision-makers (C-level, Founders, Tech Leads), and gather accurate contact details.
- LinkedIn Cold Outreach: Design and execute effective LinkedIn outreach strategies, including personalized message sequences and timely follow-ups.
- Communication & Engagement: Manage initial conversations, handle objections, and guide prospects to a booked call.
- Analytics & Pipeline Management: Track outreach metrics (response rates, conversion rates, booked calls) and continually test new hypotheses to optimize performance.

Requirements:
- Hands-on LinkedIn Outreach Experience: Solid understanding of LinkedIn limits, personalization techniques, and outreach automation tools.
- Proven Track Record: Ability to independently handle the full cycle from cold contact to a confirmed meeting.
- Self-Drive & Ownership: Strong self-organization skills and a problem-solving mindset.
- Experience with Sales Navigator, Apollo, or similar lead sourcing and verification tools.

Nice to have:
- Direct experience or strong familiarity with MilTech, DefenseTech, or AI sectors

The Defense Procurement Agency (DOT) is a national agency responsible for procuring ammunition, UAVs, military equipment, fuel, food, clothing, and other critical supplies for the Armed Forces of Ukraine and the Defense Forces.

Our mission: Strengthening Ukraine by ensuring reliable support for the Defense Forces while fostering the development of the national defense industry.

Our vision: To become the driving force behind the transformation of Ukraine's defense procurement ecosystem—not only operating the system, but continuously improving it.

We are looking for a Tech Lead / Senior DevSecOps to provide technical leadership to the Security Engineering team, develop information security architecture, implement security solutions across the Microsoft ecosystem, and integrate security requirements into infrastructure and software development processes.

Responsibilities

• Provide technical leadership to the Security Engineering team, including prioritizing and distributing tasks, mentoring team members, and ensuring the quality of implementation.
• Design and develop information security architecture and key cybersecurity capabilities, including Cloud Security, Identity & Access Management, Vulnerability Management, DevSecOps, and Incident Response.
• Implement, administer, and develop security services across the Microsoft security ecosystem.
• Conduct security reviews of infrastructure, CI/CD pipelines, and Infrastructure as Code (Terraform).
• Collaborate with Infrastructure, DevOps, and Software Engineering teams to integrate security requirements into architecture and development processes.
• Develop the AI Security function, including AI Security Proxy, AI Governance, DLP, monitoring, and auditing.
• Develop technical security standards, guidelines, recommendations, and information security documentation.

Requirements

• Bachelor's or Master's degree in Cybersecurity, Information Technology, Computer Science, or a related field.
• 3+ years of experience in cybersecurity roles such as Security Engineer, Cloud Security Engineer, or DevSecOps Engineer, with hands-on experience in Azure Security and Microsoft Security.
• Hands-on experience securing cloud infrastructure in Microsoft Azure.
• Strong knowledge of Microsoft security services, including Defender XDR, Defender for Cloud, Sentinel, Intune, Entra ID, Purview, and related solutions.
• Experience building and developing Vulnerability Management processes.
• Strong understanding of modern DevSecOps practices, including CI/CD security, Infrastructure as Code (Terraform), SAST, DAST, Secret Scanning, and IaC Security.
• Hands-on experience securing containerized environments and Kubernetes.
• Experience with information security incident analysis and response.
• Previous technical leadership experience or strong Senior Security Engineer experience with the readiness to take on a Tech Lead role.

What We Offer

• Meaningful work that directly contributes to strengthening Ukraine's defense capabilities.
• Official employment with competitive salary and full social benefits.
• Professional development, learning opportunities, and career growth.
• Structured onboarding and dedicated mentorship.
• A collaborative, supportive, and mission-driven team.
• Modern office near the metro with reliable internet and equipped shelter.

By joining our team, you will contribute to one of Ukraine's largest digital transformation initiatives in the defense sector and help build the future of defense procurement.

Ready to make a real impact? We'd love to hear from you. Apply today!

* By submitting your CV, you consent to the processing of your personal data in accordance with applicable legislation.

** Due to the high volume of applications, only candidates whose qualifications best match the position will be contacted.

Місія ролі:
Розробляти прикладні AI-продукти та сервіси: backend, frontend, API, інтеграції з LLM/ML models, RAG-пайплайни, workflow automation, evaluation logic та production-ready функціональність для користувачів. Це роль не дослідника Data Science, а інженера, який перетворює AI capability у працюючий продукт.

Обов’язки:
-Розробка AI-enabled web applications та internal tools.
-Побудова backend API для AI-сервісів.
-Інтеграція LLM, embeddings, vector search, document pipelines.
-Реалізація RAG/workflow/agent-like сценаріїв там, де це виправдано.
-Побудова UI для користувачів, операторів, аналітиків або адміністраторів.
-Впровадження access control, audit trail, security controls.
-Підготовка технічних прототипів і доведення їх до production-ready стану.
-Спільна робота з BA над уточненням вимог.
-Спільна робота з DevOps/MLOps щодо deployment та monitoring.
-Спільна робота з AppSec щодо threat modeling і security testing.

Вимоги:
- 2+ роки software engineering досвіду;
- Досвід backend-розробки на Python, Go, Java, Node.js або .NET.
- Досвід frontend-розробки: React, Next.js, Angular або Vue.
- Практичний досвід з REST/gRPC API, authN/authZ, role-based access, audit logging.
- Досвід з PostgreSQL або іншими relational DB.
- Розуміння асинхронної обробки: queues, workers, schedulers, event-driven flows.
- Практичний досвід інтеграції з LLM API або open-source LLM.
- Вміння писати тести, робити code review, працювати з CI/CD.
Бажано:
- Досвід RAG: embeddings, vector DB, chunking, retrieval, reranking, source attribution.
- Досвід з LangChain, LlamaIndex, Haystack або власними lightweight orchestration-підходами.
- Досвід з LLM evaluation: golden datasets, regression tests, hallucination checks, prompt/version control.
- Досвід з document processing: OCR, PDF parsing, structured extraction.
- Досвід із secure coding та OWASP ASVS/API Security.
- Досвід побудови internal tools, dashboards, workflow automation.

Умови для цивільних:
-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання
 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Місія ролі:
Забезпечити надійну, безпечну та автоматизовану інфраструктуру для AI/ML-рішень: від середовищ розробки й CI/CD до production deployment, observability, secrets management, model serving та підтримки AI-сервісів в обмежених або гібридних середовищах. Це не просто класичний DevOps. Для CAIO-команди потрібен інженер, який розуміє, що AI-рішення мають додаткові вимоги: версіонування моделей, контроль даних, reproducibility, GPU/CPU workloads, evaluation pipeline, rollback моделей і моніторинг якості AI-сервісів.

Обов'язки:
-Побудова та підтримка інфраструктури для AI-сервісів.
-Автоматизація deployment, rollback, configuration і release management.
-Побудова CI/CD pipelines для backend, frontend, data/ML components.
-Підтримка model serving environments.
-Впровадження observability для AI-сервісів: метрики, логи, traces, алерти.
-Забезпечення repeatability середовищ: dev/test/stage/prod.
-Підтримка security baseline разом із SecOps та AppSec.
-Документування deployment/runbook процедур разом із Technical Writer.
-Підтримка vendor-delivered компонентів після приймання в експлуатацію.

Вимоги:
-4+ роки практичного досвіду в DevOps, platform engineering, SRE або infrastructure automation.
-Production-досвід з Linux, Docker, CI/CD, GitOps або близькими практиками.
-Практичний досвід з Kubernetes або Docker Compose / Nomad / іншими orchestration-підходами.
-Досвід побудови CI/CD pipelines для backend-сервісів.
-Досвід з IaC/config management: Terraform/OpenTofu, Ansible, Helm, Kustomize або аналоги.
-Розуміння мереж, TLS, DNS, reverse proxy, firewall, VPN, service discovery.
-Досвід з secrets management, RBAC, service accounts, audit logs.
-Досвід моніторингу та логування: Prometheus, Grafana, Loki, ELK/OpenSearch, VictoriaMetrics або подібні інструменти.

Бажано:
-Досвід MLOps: MLflow, Kubeflow, KServe, BentoML, Ray, Airflow, Prefect, Argo Workflows.
-Досвід розгортання LLM або ML models: vLLM, Triton, Ollama, Hugging Face stack, model registry.
-Досвід з GPU workloads, NVIDIA drivers, CUDA runtime, resource scheduling.
-Досвід роботи з on-prem, hybrid або isolated/air-gapped environments.
-Досвід у defence, govtech, fintech, telecom або critical infrastructure.

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання
 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Місія ролі:
Забезпечити операційний кіберзахист AI-платформи та AI-сервісів: security monitoring, incident response, vulnerability management, IAM control, auditability, detection engineering і взаємодію з внутрішніми або зовнішніми SOC/IR-командами. Це роль, яка відповідає за те, щоб AI-рішення не були “чорною коробкою” з точки зору безпеки, логування, реагування та контролю.

Обов’язки:
- Налаштування security monitoring для AI-платформи;

- Визначення обов’язкових security logs для AI-сервісів, API, admin actions;
- Побудова detection rules та alerting;
- Управління vulnerability backlog;
- Контроль IAM, privileged access і audit logs;
- Підготовка incident response playbooks;
- Проведення security reviews перед production release;
- Взаємодія з DevOps, AppSec, PM і зовнішніми security-партнерами;
- Участь у прийманні vendor-рішень з точки зору operational security.

Вимоги:
- 4+ роки досвіду в SecOps, SOC, infrastructure security або security engineering; 
- Досвід роботи з SIEM/log management: Microsoft Sentinel, Splunk, Elastic, OpenSearch, Wazuh або аналоги;
- Практичний досвід incident response: triage, containment, escalation, post-incident review;
- Досвід vulnerability management: scanning, prioritization, remediation tracking; 
- Розуміння IAM, MFA, privileged access, RBAC, service accounts;
- Розуміння Linux hardening, network security, firewalling, TLS, VPN;
- Досвід створення security playbooks/runbooks;
- Вміння читати технічні логи та знаходити аномалії.

Буде перевагою:
- Досвід Kubernetes/container security;
- Досвід з MITRE ATT&CK, NIST, ISO 27001;
- Досвід у regulated або critical environments; 
- Досвід побудови detection rules для API, identity, infrastructure та application events;
- Досвід інтеграції security logging з DevOps/MLOps платформами;

- Досвід у GovTech.
 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання

Are you eager to bring state-of-the-art machine learning models to both edge devices and the cloud? Do you excel in fast-paced environments, constantly pushing the limits of what’s possible? Are you someone who always strives to see the bigger picture and go the extra mile?

If so, we have a compelling opportunity for a Technical Lead to join our team. In this role, you’ll be at the forefront of developing and integrating various modules, components, and models across a range of edge platforms. Your assistance will include designing and implementing robust data processing pipelines that ensure recurrently improving performance on edge systems.

Required Skills and Qualifications:

• Strong proficiency in C/C++, preferably with a solid background in embedded systems programming (at least 5 years).
• Additional Python experience is welcome.
• Experience in developing and deploying software solutions on edge devices.
• Expertise in designing and implementing robust data pipelines capable of seamlessly integrating with edge devices.
• Proficiency with containerization technologies (e.g., Docker, Podman) and orchestration platforms (e.g., Kubernetes, OpenShift) for deploying and managing ML inference workloads at the edge and in the cloud.
• Knowledge of CI/CD workflows and automation tools.

Would be an advantage:

• Hands-on experience with sensor data acquisition, preprocessing, and integration on edge devices, utilizing communication protocols such as SPI, UART, I2C, and others.Tech Lead (C/C++) 1
• Solid understanding of edge computing constraints, including resource limitations, power efficiency, latency considerations, and offline operation strategies.
• Experience working with embedded operating systems, such as Linux-based platforms (e.g., Raspbian, Ubuntu Server) and real-time OSes (e.g., FreeRTOS, NuttX), ensuring effective integration with edge ML inference systems.

Preferred Experience:

• Experience of working with a team of developers, setting technical direction, and mentoring engineers in best practices for C++ and embedded systems development.Experience working with cross-compilation toolchains and build systems like CMake, Bazel, or Meson for embedded and edge platforms.
• Strong knowledge of real-time systems and constraints, with expertise in concurrency control, scheduling, and real-time operating systems.
• Familiarity with DevOps practices, CI/CD pipelines, and automated testing strategies for C+±driven development workflows.
• Experience with UAVs, drones, or flight controllers, including their integration with embedded AI systems for real-time inference and onboard data processing.

We are open to communicating with Candidates who can contribute to our cause on a part-time basis as Consultants. This role offers a clear path toward a CTO position for a candidate who demonstrates both technical excellence and strategic leadership.

Company Benefits are discussed with Candidates specifically.

We are looking for a Junior IT Technician to join a team responsible for maintaining and supporting advanced training and simulation systems. 

In this hands-on role, you will help ensure that both hardware and software systems remain operational and ready for training. You will provide technical support, troubleshoot issues, perform preventive maintenance, and assist with the technical setup and execution of training exercises. 

This is a great opportunity for someone who is passionate about IT, enjoys hands-on technical work, and is motivated to develop their skills in a dynamic environment. 

Key Responsibilities 

• Provide technical support and troubleshooting at customer sites 
• Provide Tier 1 help desk support to users 
• Perform preventive maintenance of hardware and software systems 
• Diagnose and resolve technical issues 
• Support the technical execution of training exercises 
• Monitor system performance and ensure equipment remains operational 
• Communicate with users and technical teams to resolve issues efficiently 

Requirements 

• 1+ year of experience as an IT Technician or relevant technical education/certification 
• Recent graduates with a relevant degree are welcome to apply 
• Candidates without formal IT education but with hands-on technical experience and a strong interest in IT are also encouraged to apply 
• Basic understanding of computer operating systems and networks 
• Strong troubleshooting and problem-solving skills 
• Good communication skills in English 
• Good organizational and time-management skills 
• Willingness to learn and work hands-on with technical systems 

We are looking for a Middle 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:

• Hands-on experience with C++ and Python and comfortable working in Linux (Ubuntu)
• Experience with embedded systems, robotics, UAVs, or other autonomous systems
• Experience working with real hardware and integrating software with hardware components
• Understanding of common embedded communication protocols such as CAN, I2C, SPI, UART
• Experience with system integration, testing, debugging, and troubleshooting
• Basic understanding of electronics and system-level interactions
• Strong analytical and problem-solving skills
• Ability to work independently, take responsibility for tasks, and drive them to completion
• Good communication skills and ability to collaborate effectively with engineers and other 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

Interview process:

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

We are looking for a Field Application Engineer to join our team. This role is for a technical expert who views every flight and integration as an exploratory search for optimal performance. You will be the bridge between R&D and our partners, focusing on complex hardware-software integration, system tuning, and radio optimization.

Responsibilities

• Manage the technical implementation of the software stack into partner UAV platforms, ensuring seamless compatibility between hardware and firmware
• Lead exploratory tuning sessions, including PID, application parameter optimization and vibration analysis, to achieve maximum flight stability for new vehicle configurations
• Optimize RF links and telemetry systems; analyze and resolve interference issues in complex digital/analog environments
• Integrate and calibrate sensors, GPS modules, and peripherals using standard embedded protocols (CAN, I2C, SPI) to ensure reliable data flow
• Diagnose complex integration problems (firmware parameters, wiring, power distribution) in both laboratory and field conditions
• Conduct flight activities to validate R&D hypotheses, test system limits, and verify the performance of production batches according to safety SOPs
• Act as a subject-matter expert for partners, leading technical demos and providing structured feedback to the core engineering team based on field observations
• Maintain the internal drone fleet in a high-performance state, ensuring all test assets are technically calibrated and mission-ready

Requirements

• Deep hands-on experience with flight control systems (PX4 / ArduPilot) and a strong understanding of the MAVLink protocol
• Proficient in hardware integration, with a solid understanding of embedded communication protocols (CAN, I2C, SPI) and power distribution
• Strong understanding of radio principles and the ability to creatively optimize communication links in challenging environments
• Expert skills in electronics, precision soldering, and wiring, with the ability to interpret complex technical diagrams and schematics
• Proven ability to analyze telemetry data and prepare structured technical reports, configuration templates, and incident logs
• Readiness to work in field conditions, managing multiple technical priorities independently with a self-starter mindset
• Technical level of English (B1/B2) for coordination with international teams and reviewing technical documentation

Will be a plus:

• Experience with Linux environments (command line, system configuration).
• Familiarity with version control systems (GitHub, GitLab).

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

We are seeking a talented Senior DevOps Engineer to join our dynamic team.

🕐 Engagement: Part-time, approximately 4 hours per day

📍 Polygraph: On-site in Kyiv

🏠 Work format: Fully remote
 

What is this project about?
An analytics platform for the defense domain that uses artificial intelligence to analyze data from multiple sources, generating meaningful insights and recommendations. By automating data analysis and highlighting key findings, the platform helps organizations make faster, more informed decisions, reduce manual effort, and improve overall business performance.
 

What is the team size and structure?
Project Manager, Architect, ML Engineers, UI/UX Designer, Business Analyst, Backend Engineers, DevOps.
 

What is the interview process like?
Recruiter interview — up to 30 minutes;
Technical interview — up to 1.5 hours;
Polygraph screening (on-site in Kyiv).
 

Requirements:

● 4+ years of hands-on experience in DevOps or infrastructure engineering;
● Strong experience with on-premise or hybrid infrastructure setup, including Linux OS configuration, networking, storage, and environment preparation;
● Experience with containerization and deployment tooling, including Docker, container runtime configuration, and service deployment;
● Strong experience building and maintaining CI/CD pipelines for development, testing, and technical validation environments;
● Understanding of AI/ML infrastructure needs, including inference serving setup, GPU-based workloads, model-serving environments, and evaluation harness support;
● Experience with monitoring, logging, access control, secrets management, and troubleshooting of infrastructure and deployment issues;
● Intermediate level of English;
 

Responsibilities:
● Configure base infrastructure for the first phase, including Linux OS setup, networking, storage, containerization, and required development environments;
● Set up and maintain CI/CD pipelines to support development, deployment, and validation activities;
● Support inference serving stack setup, including deployment environment preparation for model serving and evaluation harness;
● Ensure infrastructure stability, access control, secrets management, logging, and basic monitoring for technical validation environments;
● Collaborate with architects, backend engineers, and ML engineers to identify infrastructure needs, deployment constraints, risks, and required improvements;
 

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

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

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

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

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
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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
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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
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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
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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
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What we offer

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