Jobs 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 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.

Продуктова команда шукає Backend Software Engineer для розвитку highload-платформи автоматизації браузерних задач у gaming-сфері. Навантаження — 200+ млн workflows на день, hybrid cloud infrastructure.
Формат роботи: Remote.
 

Що потрібно робити:

• розробляти та підтримувати backend-сервіси;
• оптимізувати високонавантажені сервіси, cache та internal API;
• розвивати адміністративні сервіси: аналітика, платежі, notifications;
• працювати з продуктивністю та стабільністю системи;
• брати ownership за свої задачі та технічні рішення.

Must-have:

• сильний досвід з Node.js;
• PostgreSQL;
• Docker;
• досвід з message brokers / queues: RabbitMQ / Kafka / NATS;
• досвід роботи з highload / distributed systems;
• самостійність та вміння працювати без мікроменеджменту.

Nice-to-have:

• Python / C++;
• AWS / HashiCorp stack;
• DevOps experience;
• React.
   

Стек:

Node.js, Python, C++, PostgreSQL

Infrastructure: Hetzner Cloud + Bare Metal, HashiCorp Nomad + Consul, Envoy, Traefik

APM: New Relic + Fluent Bit
 

Якщо цікаві складні highload-задачі та продукт, де backend реально працює під великим навантаженням — будемо раді поспілкуватися 🚀

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).

We integrate advanced automation, AI, and robotics to develop security and defense solutions. Our focus is on intelligent systems that combine embedded software, computer vision, and edge-AI for autonomous platforms.

We are looking for an engineer who understands that modern computer vision is built on deep learning — not classical algorithms. You will design and deploy CV systems for autonomous platforms in real-world defense conditions.
 

What you’ll do:

• Develop high-performance C++ computer vision pipelines — detection, tracking, segmentation
• Integrate and optimize ML models on edge devices using TensorRT and ONNX Runtime
• Build real-time video pipelines — streaming, preprocessing, inference, post-processing
• Write Python for ML experiments, data processing, and simulation workflows
• Optimize system performance — multithreading, memory management, GPU acceleration
• Integrate cameras, sensors, and compute modules
• Develop on Embedded Linux with low-level hardware integration
• Debug and profile real-time systems under operational constraints

Technical skills

Must have:

• Strong C++ (C++17/20, STL, multithreading, memory management)
• Deep learning as the foundation of CV work — CNN architectures (YOLO, ResNet, EfficientDet), understanding of Transformer-based approaches (ViT, DETR)
• Hands-on ML deployment on edge devices — TensorRT, ONNX Runtime
• Python at ML engineer level — PyTorch or TensorFlow, NumPy, OpenCV
• Edge-AI platforms — Jetson, Hailo, Coral
• Video pipeline experience — GStreamer, FFmpeg
• Embedded Linux — Ubuntu, Debian or Yocto
• Git and CI/CD

Nice to have:

• CUDA / GPU programming
• Model optimization — quantization, pruning
• ROS / ROS2
• Real-time systems and profiling tools
• Classical CV — calibration, 3D vision, SLAM
• Simulators — Gazebo, Isaac Sim
• MAVLink / ArduPilot / PX4
• Docker / DevOps
• Low-level optimization — SIMD, ARM NEON

What we offer:

• Impact: Ownership over mission-critical autonomous/robotics systems.
• Autonomy: Full technical freedom — choose tools, architect solutions, drive decisions. Minimal bureaucracy.
• Unique Domain: Rare expertise that strengthens your aerospace/defense resume.
• Growth: Regular salary reviews with performance-based increases.
• Remote Work: 100% remote, flexible schedule, core sync hours.
• Learning: Professional courses and certifications aligned with your role.
• Team: Work alongside experienced engineers tackling cutting-edge challenges in edge-AI, computer vision, and real-time robotics.
• Mission: Direct contribution to Ukraine’s defense capabilities and European security resilience.

If this resonates with you, don’t wait — reach out today! We’re looking forward to meeting you:)

We are seeking a Robotics Engineer to join our team on a contract basis. The ideal candidate will have expertise in
developing autonomous systems for unmanned aerial vehicles (UAVs) and contribute to our cutting-edge drone
squad technology.

Our client: pioneering technology company specializing in advanced autonomy for squad robotic systems.
They’re blending cutting-edge computer vision, ML, multi-agent AI and probabilistic inference techniques into autonomous UxV solutions for complex, mission-critical operations. The team is dedicated to pushing the boundaries of robotics and AI, with a strong focus on safety and ethical considerations in autonomous systems.
They’re building a diverse team of talented individuals who share our passion for innovation and pushing the boundaries of what's possible in autonomous systems. 

About the Role:
At MT we are developing AI capabilities to orchestrate UAVs together, even if heterogeneous (with different capabilities) or built by different OEMs to solve complex missions such as the ability to search enemy objectives, track and engage, autonomously. You will have the unique opportunity to shape AI capabilities in one of the most challenging environments: fast changing, resource constrained, secure, and with high generalization capabilities.

Requierements:

- Hold MSc in automation and control, machine learning, robotics, or related field
- 2+ years of proven experience with autonomous systems (UAVs in particular)
- 2+ years of proven experience in designing and implementing autonomous control systems for UAVs using
ROS and simulation environments (e.g. Gazebo or IsaacSim)
- Have experience integrating edge compute (e.g. Raspberry Pi 5 + AI or Nvidia Jetson) to a UAV
- Integrate sensors and actuators for improved drone perception and navigation
- Knowledge of control systems, computer vision, and machine learning

- Conduct testing and validation of robotic systems in various environments

Technical Skills:

- Robotics Frameworks: ROS/ROS2, Nav2, MoveIt, Ardupilot, PX4, OMPL, PCL, Zenoh
- Embedded Systems: PX4 Firmware, UART, SPI, I2C, CAN, MAVLink
- Edge: Jetson, Qualcomm (QRB5), AIMET, TensorRT, Quantization (int4,int8), Quantization Aware Training,
Pruning, Distillation.
- Simulation: Gazebo, IsaacSim, UnReal Engine(AirSim), Foxglove Studio, RViz2.
- Programming & Tools: C++, Python, Git, Docker, CI/CD, Linux, Docker/Podman

ML specific skills:
- Stochastic processes: behavior trees, FSMs, MDPs
- Learning: RL, Bayesian networks (and BBP)
- Scripting languages: PDDL, RDDL
 

Nice to have:
- Experience with SLAM, computer vision applied to UAVs
- Knowledge of AI safety principles and practices
- Knowledge of control systems, computer vision, and machine learning
- Familiarity with hardware integration for UAVs

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.

About the Project

The team builds low-level compute kernels for inference/training of well-known LLM models, hand-optimized for a proprietary (custom) chip based on the RISC-V architecture with RISC-V Vector Extension (SIMD intrinsic extension) and a custom VCIX Coprocessors. In terms of functional scope, this is analogous to what PyTorch/Tensorflow provides (matmul/GEMM, convolution, elementwise ops, reduction, attention/softmax, quantization) — but written from scratch for a specific chip rather than routed through an existing backend.

What You Will Actually Do

• Write new compute kernels (functionally equivalent to PyTorch operators: matmul/GEMM, convolution, elementwise, reduction, attention/softmax) targeting custom RISC-V hardware.
• Implement and tune mixed-precision inference pipelines across multiple numerical formats (FP32, BF16, MXFP8, MXFP4, NVFP4).
• Investigate and improve the performance of existing kernels and how they are invoked: optimize cache vs. DRAM memory usage (memory hierarchy, tiling/blocking, prefetching, bandwidth vs. latency trade-offs).
• Optimize distributed communication for multi-device and multi-node inference.
• Partition and schedule workloads across compute cores to maximize hardware utilization.
• Fuse individual kernels into efficient end-to-end pipelines for LLM model execution.
• Write C++23 code with heavy use of metaprogramming (templates, constexpr, concepts, CRTP, SFINAE) to generate specialized code for different kernel configurations.

Required Qualifications

• Hands-on experience writing low-level compute kernels — GEMM/matmul, convolution, elementwise, reduction, or similar — regardless of whether this was for PyTorch/ATen, XLA, CUDA, ARM NEON/SVE, x86 AVX, or other hardware. The key requirement is actual kernel-writing experience, not just usage of high-level ML frameworks.
• Experience with SIMD/SIMT/vector intrinsics on any architecture (RVV, ARM NEON/SVE, x86 SSE/AVX/AVX-512) or with inline assembly, understanding how the compiler maps intrinsics to instructions etc.
• Solid understanding of memory hierarchy: cache vs. DRAM, cache lines, latency/bandwidth trade-offs, data locality, tiling/blocking for compute optimization.
• Strong interest in and willingness to optimize code for performance and memory efficiency, with the ability to identify bottlenecks and continuously improve execution speed, memory usage, and overall system efficiency.
• Strong focus on latency minimization in production inference paths — able to identify and eliminate latency-critical bottlenecks across the full execution pipeline, not just individual kernels.
• Comfortable working in a Linux-like environment for building/testing (WSL/Linux), and experience debugging without full GUI debugger tooling (log-based debugging).

Strong Pluses

• Direct RISC-V experience (ISA, RVV / custom intrinsic extensions, cross-compilation with a RISC-V toolchain — GCC/LLVM/Clang).
• Experience optimizing kernels for LLM inference/training (attention, KV-cache, softmax, layer norm, quantized matrix multiplication).
• Experience with proprietary/custom hardware (not reference architectures), including writing code for early-stage chips where tooling and debugging capabilities are limited.
• Understanding of collective communication operations, distributed training (Data/Tensor/Pipeline Parallelism).
• Understanding of floating-point formats — FP32, BF16, MXFP8, NVFP4/MXFP4 — including their trade-offs in precision, dynamic range, and performance.
• Understanding of how numerical format choice affects throughput, memory bandwidth, and training/inference numerical stability.
• Strong C++ (17/20/23) with confident use of template programming — real experience in a generic/template-heavy codebase, not just familiarity with the syntax.

Eleven — рекрутингова агенція, яка спеціалізується на пошуку працівників для компаній у галузі військових технологій. Наша мета — підтримувати розвиток оборонної промисловості та допомагати об’єднувати тих, хто наближає до перемоги.
 

Роботодавець — українська компанія, яка займаємось виробництвом компонентів електроніки від ідеї до втілення! Компанія пропонує можливість реалізувати рішення та впливати на події уже зараз.
 

У зв’язку з активним розширенням шукаємо в команду Senior EO/IR Systems Engineer.

В основні обовʼязки буде входити:

• Формувати архітектуру EO/IR комплексу: EO, monochrome, LWIR/MWIR, LRF та інші сенсори.
• Визначати вимоги до сенсорів, оптики, FOV, resolution, focal length, NETD, SNR тощо.
• Порівнювати доступні на ринку модулі за ключовими характеристиками та обирати оптимальний варіант для конкретної системи (trade-off)
• Аналізувати ринок та взаємодіяти з виробниками.
• Проєктувати взаємне розташування сенсорів та систему юстування.
• Працювати над калібруванням, thermal drift та стабільністю оптичної системи.
• Організовувати лабораторні та польові випробування.
• Працювати разом із Mechanical, Embedded, Computer Vision, Controls та System Engineers.
• Формувати технічні вимоги та приймати рішення щодо оптичної архітектури.

У Вас має бути:

• 3+ років досвіду в EO/IR, electro-optics, optical systems, imaging systems.
• Сильне розуміння оптики та imaging systems.
• Практичний досвід вибору та інтеграції camera/sensor modules.
• Розуміння EO, LWIR/MWIR, LRF.
• Досвід роботи з boresight / calibration.
• Вміння самостійно проводити технічний аналіз та trade-off.
• Досвід роботи та інтеграції термальних, та монохромних камер.

Досвід лабораторних або польових випробувань.


Ми пропонуємо:

• Бронювання з першого робочого дня (відповідно до законодавства, за наявності необхідних документів).
• Офіційне працевлаштування, оплачувана відпустка, повна компенсація лікарняних згідно законодавству.
• Медичне страхування.
• Конкурентна винагорода.
• Участь в створенні амбітних та цікавих продуктів.
• Мінімум бюрократії — короткий шлях від ідеї до її реалізації.
• Ефективні рішення не відкладаються, а впроваджуються.
• Швидке професійне зростання у сфері defense-tech.
• Сучасна техніка для комфортної і продуктивної роботи.
• Комфортний офіс зі снеками та фруктами, а також паркомісця для співробітників (робота full-time в офісі).

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.

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.