Jobs Robotics Engineer

We’re looking for a Control & Autonomy Engineer to join our team and work on cutting-edge robotics and autonomous systems.

You’ll develop control algorithms, work with sensor fusion and multi-sensor data, build simulations, and collaborate with robotics and software engineers to bring real-world autonomous solutions to life.

Key Responsibilities:

• Develop control-based algorithms and support their testing.
• Work on data analysis and sensor fusion for multi-sensor systems (e.g., IMUs, cameras, magnetometers).
• Build models and simulations to support system development and testing.
• Collaborate with robotics and software engineers on integration with other platforms, modules, and solutions.
• Stay up to date with recent research in control and autonomy, and propose solutions to address product use cases.

Required Qualifications:

• 3+ years of experience in control, robotics, machine learning, or a related field.
• Experience with PID controllers, Kalman filters, and signal processing.
• Practical knowledge of linear algebra.
• Strong programming skills in Python and/or a 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:

• Advanced knowledge of control theory.
• Experience with MATLAB / Simulink for dynamic system modeling and control design.
• Experience with ROS 2, Gazebo, or AirSim.
• Experience with sensor setup and integration.
• Experience with at least one of the following flight controllers: PX4, Betaflight, or ArduPilot.

What We Offer:

• Opportunity to work on cutting-edge embedded products.
• Competitive salary and benefits.
• Professional growth and learning opportunities.
• Collaborative and engineering-focused culture.

About Farsight Vision:

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.

We are looking for a Robotics Engineer to own motion control for our unmanned ground vehicle (UGV) end-to-end — from control theory on paper to a robot that actually moves the way you designed it to. This is not a role for someone who wants control loops handed to them pre-tuned: you will design, implement, and validate them on hardware yourself.
 

Responsibilities:

• Implement navigation and control algorithms for different types of UGVs: differential drive, tracked wheels, Ackermann steering, etc.
• Design and implement control algorithms (PID and beyond) that translate navigation commands into reliable robot motion.
• Own the control stack end-to-end — from algorithm design through tuning and validation on the physical unit.
• Simulate physical driving for different types of wheels and terrains before deploying to hardware.
• Work closely with the Robotics team on actuator and sensor integration, since control quality is only as good as what it’s built on.
• Debug control issues that only show up in the field, not in simulation — this role is hands-on with the physical robot in Lviv.
• Collaborate with the Perception Engineer so control decisions correctly account for obstacle and environment data.
• Propose architecture and design decisions rather than waiting to be handed a fully-scoped ticket: this is a small team building a new capability almost no one in the Ukrainian market has shipped yet.

Requirements:

• Strong mathematical foundation: linear algebra, calculus, and the algorithmic thinking control systems are built on.
• Practical experience with control theory — PID control at minimum, ideally more advanced control approaches.
• Background in robotics, guidance, or navigation systems (e.g., autonomous vehicle guidance, drone terminal guidance, or similar).
• Experience with physics simulators (e.g. Gazebo, NVIDIA Isaac, MATLAB, Simulink), with the ability to simulate dynamic models and verify controller performance before deployment.
• Experience working with sensors such as IMU, LiDAR, etc.
• Knowledge of state estimation and filtering (e.g. Kalman filter, extended Kalman filter, complementary filter).
• Solid programming skills in C++ (and Python for prototyping).
• Good OOP skills — ability to write and design clean code that’s flexible to extend and maintain.
• Comfortable working close to hardware, not purely in a software abstraction layer.
• Upper-Intermediate+ English.

Nice to have:

• Experience with ROS/ROS2
• Path planning algorithms (A*, D*, RRT, etc.)
• Prior work on UAV or UGV guidance/navigation systems
• Defense-tech or military-tech industry exposure
• Embedded systems or hardware-adjacent experience

Security Eligibility:

Our platform is actively used by the Armed Forces in live operations. As an Estonian-Ukrainian defence technology company handling sensitive operational data, we have a responsibility — legal, ethical, and practical — to ensure the integrity of everyone on our team.

All candidates must be able to confirm the following:

Neither you nor your close relatives (parents, spouse, siblings, children) reside in Russia, Belarus, or temporarily occupied Ukrainian territories

You have no regular personal, financial, business, or professional contact with individuals in those territories

You consent to a deeper security verification if the process advances to later stages

If any of the above criteria are not met, please do not proceed with your application.

Why Farsight Vision

We are a startup operating under real-world conditions — our product is in active deployment, and the pace reflects that. We are not a company where you get to run the same experiment three times until it’s elegant — we need someone who wants to see their control loop working on a real robot within weeks, not quarters, and who is motivated by the fact that what you build here gets used, not shelved.

Flexible working hours. Paid vacation and sick leave. Direct access to founders and leadership.

Application Process:

• Apply with your CV and a brief cover letter explaining your interest and relevant experience
• Complete a short practical assignment involving a control/navigation problem drawn from our platform
• Interview with the Recruiter and Lead Robotics Engineer

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer for the connectivity stack of a large-scale data platform. The work spans three areas:

• Client connectivity — drivers and client libraries used by applications and BI tools
• Source connectivity — connectors to databases and data systems, including authentication, metadata discovery, and query/data pushdown, with certification and upgrade support
• Agent & service connectivity — tool interfaces and integrations for AI-agent access to the platform

Deep expertise in one of these areas is enough — you'll grow into the adjacent ones over time. This is a role for an engineer who cares about API and protocol stability, backward compatibility, and interoperability with the tools enterprises actually use. You will lead the design and delivery of substantial components, working within an established architecture alongside US-based engineering reviewers.

This is a systems-level, backend engineering role focused on drivers, protocols, and distributed services — not application development or CRUD services.

Responsibilities

• Lead the design and delivery of connectivity components — client drivers, source connectors, and service integrations — turning ambiguous initiatives into well-scoped, reviewable milestones
• Produce technical designs, explain architectural trade-offs, and surface compatibility, security, and delivery risks early
• Maintain backward compatibility and API/protocol stability; build compatibility, interoperability, and performance test suites
• Develop and maintain connectors for major BI tools, collaborating with the technology partners behind them
• Diagnose complex client/server, protocol, and distributed-system failures; drive root-cause analysis of customer-reported and escaped defects
• Improve diagnostics, logging, observability, and supportability of the connectivity stack
• Contribute upstream to open-source projects (e.g., Apache Arrow) where agreed
• Mentor engineers, participate in code and design reviews, and communicate progress and risks clearly across a distributed team

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 8+ years of production software engineering experience
• Deep proficiency in Java or C++, and the ability to work effectively in another systems/services language
• Experience designing and debugging APIs, protocols, client libraries, or distributed services
• Strong fundamentals: data structures, concurrency, asynchronous programming, networking, and failure handling
• A track record of comprehensive testing — unit, integration, compatibility, and performance
• Experience with production CI/CD, release processes, and engineering quality controls
• Working knowledge of SQL
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• Clear written and verbal communication in a distributed engineering environment; English Upper-Intermediate or higher (B2+)
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• JDBC, ODBC, ADBC, or database-driver development experience
• Apache Arrow (including Arrow Flight)
• SQL engines, databases, or data platforms
• Source-connector development for databases, warehouses, or SaaS systems
• MCP or agent-tool integrations
• OAuth, OIDC, TLS, and enterprise authentication flows
• Cross-platform native build, packaging, and release experience
• BI-tool interoperability (Power BI, Tableau) and partner collaboration
• Observability and production diagnostics
• Open-source contribution experience

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client

Our client develops technology that makes industrial environments safer through real-time monitoring.

The Ukrainian engineering team is building an industrial safety platform combining Computer Vision, Machine Learning and IoT.

About the role

We are looking for a Middle Systems / Software Engineer to work on the performance-critical core of a real-time Computer Vision platform.

This is not a typical Python Backend role. The focus is on high-performance systems, real-time data processing, memory and data movement, CPU/GPU utilisation, concurrency and low latency.

You’ll work on a runtime that executes CV/ML pipelines as a graph of processing stages and help build reliable, efficient infrastructure for model inference and real-time video processing.

What we’re looking for

We are open to engineers with backgrounds in C++, Python, Go or similar. The programming language is secondary — strong systems thinking and relevant practical experience matter more.

Must-have:

• Commercial Software / Systems Engineering experience.
• Experience with performance- or latency-sensitive systems.
• Strong understanding of processes, concurrency, memory and data movement.
• Experience with profiling, debugging and performance optimisation.
• Solid Linux fundamentals.

• Experience with at least one of C++, Python, Go or similar.

   

Particularly relevant experience includes:

• Model inference / CV pipelines.
• Real-time video or camera processing.
• GPU / CUDA optimisation.
• Performance-critical data processing.
• Robotics or other real-time systems.

• Optimisation of CPU/GPU utilisation and data transfer.

   

Nice to have

• CUDA, TensorRT.
• OpenCV.
• GStreamer / FFmpeg / RTSP.
• ZeroMQ.
• Shared memory / zero-copy.
• C++ / Go.

• Binary serialisation such as FlatBuffers.

   

What you’ll work on

• Build and optimise the real-time Pipeline Engine.
• Turn CV/ML inference code into production pipeline stages.
• Work with shared memory and zero-copy data transfer.
• Optimise CPU, GPU, memory usage and latency.
• Work with inter-process communication and process orchestration.
• Profile and debug complex runtime issues.

• Contribute to the architecture of the real-time processing infrastructure.

   

What we offer

• Competitive compensation.
• Benefits package.
• Strong engineering team.
• Challenging real-time Computer Vision infrastructure.
• Meaningful industrial safety use case.
• Opportunities for technical growth.

PROJECT

You provide recommendations on how our company can:

- improve artificial intelligence technologies for military drones in Ukraine. Your practical experience is valuable;

- import and sell Ukrainian drone technologies in the United States. You help find Ukrainian partners.

This is a small project to start, but may grow into a larger job.

TEAM

You will work remotely with an experienced drone engineer in California.

COMPANY

Small startup company with drone AI navigation technology.

WORKING CONDITIONS

Work at home

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client

Our client is developing technology to make industrial environments safer and reduce the risk of accidents through proactive monitoring.

The Ukrainian engineering team is building a next-generation industrial safety platform combining Computer Vision, Machine Learning and IoT.

About the role

We are looking for a Middle Systems / Software Engineer to work on the performance-critical core of a real-time Computer Vision platform.

This is not a typical Python Backend role. The main challenge is building and optimising the systems underneath the CV/ML engines — where performance depends on memory, processes, concurrency, data movement, CPU/GPU utilisation and low latency.

You will work on the runtime that executes CV pipelines as a graph of processing stages, with latency measured in milliseconds. You will deal with shared memory, zero-copy data transfer, inter-process communication and process orchestration.

What matters most to us

We are open to engineers coming from C++, Python, Go or similar backgrounds.

The programming language itself is not the main selection criterion. What matters much more is a strong systems engineering mindset and experience understanding what is happening inside a system.

For example, we are particularly interested in engineers who have worked with problems such as:

• reducing unnecessary memory copies;
• optimising CPU/GPU utilisation;
• investigating latency spikes and performance bottlenecks;
• working with processes, threads and concurrency;
• debugging race conditions and difficult low-level issues;
• profiling applications and identifying bottlenecks;
• designing efficient data-processing pipelines;
• working with large amounts of data moving through several processing stages;

• optimising algorithms or runtimes for performance.

   

A candidate does not necessarily need to have worked with exactly the same technologies before.

For example, experience with CUDA, C++, GPU optimisation, real-time processing, robotics, computer vision, video pipelines, scientific computing or other performance-sensitive systems can be highly relevant.

What you’ll work on

• Collaborate with CV/ML engineers to turn model inference code into reliable production pipeline stages.
• Develop and optimise the core Pipeline Engine — an in-process, real-time runtime executing the CV pipeline as a graph of stages.
• Work with zero-copy shared-memory pools for passing frames between processes.
• Develop and optimise low-latency ZeroMQ communication for control messages, metadata and synchronisation.
• Work with pipeline metadata and serialisation boundaries.
• Analyse and improve CPU, memory and latency performance.
• Profile, debug and troubleshoot complex runtime issues.

• Contribute to the architecture and evolution of the real-time processing infrastructure.

   

Requirements

Must-have

• Commercial experience as a Software Engineer / Systems Engineer / C++ Engineer / Python Engineer or similar.
• Strong systems engineering mindset and understanding of:
  • processes and concurrency;
  • memory ownership and data movement;
  • latency vs throughput trade-offs;
  • performance bottlenecks;
  • profiling and debugging;
  • failure modes of complex systems.
• Experience working with performance-sensitive or latency-sensitive systems.
• Experience with at least one of C++, Python, Go or a similar programming language.
• Python is used in the platform, but it does not need to be your primary language. Strong C++ / systems experience is equally relevant.
• Solid Linux fundamentals.

• Solid experience with Docker and containerised environments.

   

Nice-to-have

• CUDA, including IPC handles and stream synchronisation.
• C/C++ or Go.
• OpenCV.
• GStreamer, FFmpeg or RTSP.
• ZeroMQ.
• Shared memory / zero-copy architectures.
• FlatBuffers or other binary serialisation formats.
• Experience building or operating camera/video pipelines.

What we offer

• Competitive compensation.
• Benefits package.
• Strong engineering team.
• Opportunity to work on challenging real-time Computer Vision infrastructure.
• Meaningful industrial safety use case.
• Technical challenges and opportunities for professional growth.

About Pixel Robotics / Logivations

Pixel Robotics builds next-generation autonomous mobile robots (AMRs) for dynamic warehouse environments. Our team combines modern robotics approaches with hands-on engineering — you’ll see your ideas running on real robots at our Munich headquarters and at customer sites. We work fast, learn continuously, and support each other in a friendly, international environment.

About the Role

We are looking for robotics software engineers to develop and optimize navigation and behavior systems for AMRs operating in dynamic warehouse environments. You will implement new behaviors, extend the robots' capabilities, and help build production-ready robotics solutions.

Why Join Pixel Robotics?

• Shape the future of robotics: Apply modern approaches to real robotics problems.
• Hands-on impact: See your ideas deployed on physical robots in Munich and at customer locations.
• Global exposure: Work closely with an international team of engineers and researchers.
• Fast learning environment: Grow quickly with support from experienced colleagues.

Your Responsibilities

• Implement and refine algorithms that guide AMR behavior in dynamic warehouse environments.
• Write clean, maintainable software in ROS2 using C++ and Python.
• Test your work: design small experiments, run simulations, deploy on real robots, analyze results, and iterate.
• Take ownership of submodules, participate in architecture decisions, and help guide other developers.

Requirements

• Education: Ongoing or completed Bachelor’s/Master's degree in Computer Science, Robotics, Applied Mathematics, Physics, or a related field. Students and recent graduates are very welcome.
• Coding skills in Python and C++, with focus on clean, reusable architecture are a plus.
• Solid understanding of linear algebra (vectors, linear transformations) and discrete math (path-finding algorithms such as Dijkstra, A*).
• Curious, eager to learn, and able to pick up concepts quickly.
• Intermediate English or higher (you will work with international colleagues).
• Live in Lviv or could consider relocation.

Nice to Have

• Experience with ROS2, Gazebo, or simulation tools.
• Basic understanding of control theory (localization, control loops).
• Familiarity with 3D vision, SLAM, and perception pipelines.
• Exposure to behavior trees or task-planning frameworks.
• Experience with Linux, Docker, or CI/CD pipelines.

What We Offer

• Competitive salary in euros, B2B basis.
• Flexible working hours and work schedule.
• Strong learning environment with real impact on production robots.
• Business trips to production area and office in Germany.

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer for the connectivity stack of a large-scale data platform. The work spans three areas:

• Client connectivity — drivers and client libraries used by applications and BI tools
• Source connectivity — connectors to databases and data systems, including authentication, metadata discovery, and query/data pushdown, with certification and upgrade support
• Agent & service connectivity — tool interfaces and integrations for AI-agent access to the platform

Deep expertise in one of these areas is enough — you'll grow into the adjacent ones over time. This is a role for an engineer who cares about API and protocol stability, backward compatibility, and interoperability with the tools enterprises actually use. You will lead the design and delivery of substantial components, working within an established architecture alongside US-based engineering reviewers.

This is a systems-level, backend engineering role focused on drivers, protocols, and distributed services — not application development or CRUD services.

Responsibilities

• Lead the design and delivery of connectivity components — client drivers, source connectors, and service integrations — turning ambiguous initiatives into well-scoped, reviewable milestones
• Produce technical designs, explain architectural trade-offs, and surface compatibility, security, and delivery risks early
• Maintain backward compatibility and API/protocol stability; build compatibility, interoperability, and performance test suites
• Develop and maintain connectors for major BI tools, collaborating with the technology partners behind them
• Diagnose complex client/server, protocol, and distributed-system failures; drive root-cause analysis of customer-reported and escaped defects
• Improve diagnostics, logging, observability, and supportability of the connectivity stack
• Contribute upstream to open-source projects (e.g., Apache Arrow) where agreed
• Mentor engineers, participate in code and design reviews, and communicate progress and risks clearly across a distributed team

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 8+ years of production software engineering experience
• Deep proficiency in Java or C++, and the ability to work effectively in another systems/services language
• Experience designing and debugging APIs, protocols, client libraries, or distributed services
• Strong fundamentals: data structures, concurrency, asynchronous programming, networking, and failure handling
• A track record of comprehensive testing — unit, integration, compatibility, and performance
• Experience with production CI/CD, release processes, and engineering quality controls
• Working knowledge of SQL
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• Clear written and verbal communication in a distributed engineering environment; English Upper-Intermediate or higher (B2+)
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• JDBC, ODBC, ADBC, or database-driver development experience
• Apache Arrow (including Arrow Flight)
• SQL engines, databases, or data platforms
• Source-connector development for databases, warehouses, or SaaS systems
• MCP or agent-tool integrations
• OAuth, OIDC, TLS, and enterprise authentication flows
• Cross-platform native build, packaging, and release experience
• BI-tool interoperability (Power BI, Tableau) and partner collaboration
• Observability and production diagnostics
• Open-source contribution experience

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

We are developing a heterogeneous compute environment engineered to speed up high-throughput analytics and Machine Learning workloads. We are looking for a specialized kdb+/q systems engineer to collaborate directly with our hardware acceleration team.

Primary Objectives:

• Audit and optimize the internal query pipeline of kdb+ to achieve maximum throughput.
• Build custom extensions and native modules utilizing the kdb+ C API.
• Conduct deep-level performance profiling to pinpoint, isolate, and eliminate execution bottlenecks within the engine.
• Seamlessly hook hardware acceleration capabilities straight into existing kdb+ processing flows.
•  

Qualifications:

• Essential: Mastery of kdb+/q syntax and engine internals, query plan optimization, hands-on experience extending kdb+ via the C API, and low-level diagnostic/profiling expertise.
• Advantageous: Core understanding of or exposure to hardware accelerators (e.g., FPGA, GPU, or custom silicon integration).

Data Science UA — сервісна компанія з глибокою експертизою у сферах AI та Data Science. Наша історія розпочалася у 2016 році з першої конференції Data Science UA у Києві, і відтоді ми створили одну з найбільших спільнот у сфері штучного інтелекту в Європі.

Це роль на стику Software Engineering та Computer Vision: робота з реальними відеопотоками з камер, обробкою даних і запуском ML-моделей у режимі реального часу.

Що буде у роботі

• Розробка та оптимізація пайплайнів Computer Vision.
• Робота з камерами та відеопотоками.
• Інтеграція та оптимізація ML model inference.
• Обробка даних між етапами CV-пайплайна з мінімальними затримками.
• Оптимізація використання CPU/GPU, пам'яті та швидкості обробки.
• Пошук і усунення проблем продуктивності та складних помилок.

• Взаємодія з ML/CV інженерами для переведення моделей у стабільні робочі пайплайни.

   

Кого шукаємо

Нам важлива не конкретна мова програмування, а досвід роботи зі складними продуктивними системами.

Буде цікаво, якщо ви працювали з:

• Computer Vision або відеообробкою;
• камерами та відеопотоками;
• ML inference / inference pipelines;
• real-time або low-latency системами;
• GPU/CUDA;
• OpenCV;
• GStreamer / FFmpeg / RTSP;
• shared memory / zero-copy;
• C++, Python, Go або іншими мовами.

Python — основна мова в проєкті, але не обов'язково має бути вашою основною мовою.

Буде плюсом

• досвід оптимізації inference;
• робота з великими потоками відеоданих;
• розуміння процесів, потоків, конкурентності та пам'яті;
• Docker та Linux;

• ZeroMQ та інші інструменти для обміну даними між компонентами.

   

Проєкт

Реальна Computer Vision-платформа для промислової безпеки, де камери та ML-моделі працюють у режимі реального часу.

 Основний фокус — продуктивність, стабільність і побудова ефективних пайплайнів обробки відео.

Frontline Robotics — українська defence tech компанія, що займається розробкою та виробництвом роботизованих систем для Сил безпеки та оборони України.

Наша місія — створити інтегровану роботизовану екосистему для наступу й оборони.

Ми сформували досвідчену та злагоджену команду та шукаєм Embedded-інженера у наш R&D-відділ.

Ваші основні завдання:

• Інтеграція та Sensor Fusion: Розробка ПЗ для збору, обробки та синхронізації даних з різних модулів і сенсорів.
• Керування PTZ: Розробка алгоритмів плавного та точного позиціонування.
• Взаємодія з перехоплювачами: Інтеграція модулів керування різними механізмами.
• Протоколи та архітектура: Проєктування та реалізація надійних протоколів обміну даними (CAN, UART, SPI, Ethernet, MAVLink) між модулями системи.

• Оптимізація: Забезпечення мінімального інпуту/лейтенсі (low-latency) від моменту детекції до реакції PTZ.

   

Наші очікування від кандидата:

• Досвід роботи: від 1 року в Embedded розробці (C / C++).
• Мікроконтролери: Глибокі знання архітектури STM32, ESP32
• Робототехнічний стек: Розуміння принципів роботи ROS / ROS2 та Embedded Linux.
• Інтерфейси: Знання UART, SPI, I2C, CAN, Ethernet.

• Робота із залізом: Вміння користуватися осцилографом, логічним аналізатором, читати принципові схеми.

   

Буде плюсом:

• Досвід роботи з польотними контролерами (ArduPilot).
• Досвід розробки під мікрокомп’ютери на кшталт Nvidia Jetson (взаємодія Embedded частини з алгоритмами Computer Vision).
• Досвід роботи з proprietary бездротовими протоколами або системами локального радіопозиціонування (Real-time Location Systems).
• Математичний бекграунд: Розуміння базових алгоритмів фільтрації даних: Фільтр Калмана для трекінгу об’єктів.

• ОС: Досвід роботи з RTOS (FreeRTOS / Zephyr) та/або Bare-metal розробки.

   

Що ми пропонуємо:

• Офіційне працевлаштування та бронювання.
• Конкурентна заробітна плата (відкриті до обговорення відповідно до ваших очікувань).
• Гнучкий графік та гібридний формат: 9:00–18:00 або 10:00–19:00 з понеділка по п’ятницю.
• Безпечний офіс на Правому березі Києва.
• 24 календарні дні відпустки, оплачувані лікарняні + додаткова відпустка 14 днів для ветеранів.
• Унікальний продукт, щоо матиме такий самий вагомий вплив на оборону, як і поява FPV-дронів.
• Складні інженерні виклики: створення реальних роботизованих систем та прямий вплив на прийняття архітектурних рішень.
• Прямий зв’язок із фронтом.
• Мінімум бюрократії: прості процеси, відкрита робоча культура та драйвова команда.

Frontline Robotics — українська defence tech компанія, що займається розробкою та виробництвом роботизованих систем для Сил безпеки та оборони України.
 

Наша місія — створити інтегровану роботизовану екосистему для наступу й оборони.
 

Ми шукаємо Software Engineer у наш R&D-відділ розробки роботизованих турелей. Ми розширюємо команду, тому розглядаємо фахівців із різним фокусом — від системних розробників до спеціалістів із мереж та Edge ML.
 

Для нас важливо:

• Від 3 років досвіду комерційної розробки
• Впевнене володіння щонайменше однією мовою програмування з ручним керуванням пам’яттю (C, C++ тощо).
   

Буде перевагою:

• Досвід роботи з мережею (на рівні UDP / TCP).
• Досвід роботи з потоковим відео (gstreamer, rtsp, webrtc, v4l2).
• Досвід роботи з Embedded системами.
• Досвід розгортання моделей машинного навчання на edge девайсах.
• Досвід розробки під Linux (user space).
   

Над чим ви будете працювати:

• Розробка та вдосконалення програмного забезпечення.
• Інтеграція зі сторонніми системами та ПЗ.
• Періодичні виїзди на польові тестування для перевірки рішень.
   

Що ми пропонуємо:

• Офіційне працевлаштування та бронювання.
• 24 календарні дні відпустки, оплачувані лікарняні.
• Додаткова відпустка 14 днів для ветеранів.
• Гнучкий графік роботи: 9:00–18:00 або 10:00–19:00.
• Зручний офіс біля метро (правий берег Києва).
• Своєчасна виплата заробітної плати.
• Можливості для навчання та професійного розвитку.
• Робота над складними інженерними задачами та реальними роботизованими системами.
• Можливість отримувати прямий фідбек від користувачів на фронті.
• Робота в драйвовій команді та відкрита робоча культура.
• Реальний внесок у оборону України.

Ваш досвід уже довів, що ви пишете надійний код. Ми пропонуємо задачу, де ця надійність важить більше, ніж будь-де. Надсилайте резюме.