Jobs Robotics Engineer

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.

Webxloo, LLC is an international software development company that was founded in 2005 in Tampa, Florida USA. With employees globally with the common goal: “Building Your Online Universe”..

We are looking for a talented professional to develop the AI-powered humanoid Kinetic robotics system customized for automotive retail and wholesale services with real-world operational use cases. 

This role is fundamental in connecting our proprietary management software running on large language model (LLM) agents to physical kinetics robotic appliances through robotics middleware ROS1/ROS2, real-spaceal simulation environments, embedded control systems, and real humanoid platforms.

The ideal candidate will have strong hands-on robotics engineering experience involving autonomous robot behavior, robotic navigation, manipulation systems, and sim-to-real deployment workflows for humanoid robots operating in dynamic real-world environments. Experience working with Unitree humanoid robots, Unitree G1/G2/H2, Figure 02/03, NEO 1X and Agibot Yuanzheng A2 platforms, will be given higher consideration.
 

Tech Stack:

Python, ROS, ROS 1, ROS 2, OpenClaw / ROSClaw, Isaac Sim, NVIDIA Omniverse, MuJoCo, Gazebo, LLM APIs (Claude / OpenAI), Unitree SDK2, DDS (CycloneDDS), NVIDIA Jetson, STM32, Linux (Ubuntu), Git, MATLAB, CAD tools
 

Responsibilities:

• Building workflow and processes in simulation application with multi-level testing 
• Integrate an existing LLM agent with ROS2-based robotic systems and middleware architectures
• Design and implement tool-calling interfaces that translate AI outputs into physical robot actions and autonomous robotic behaviors
• Build, configure, and maintain robotics simulation environments (Isaac Sim / MuJoCo / Gazebo / NVIDIA Omniverse) with emphasis on real-space simulation accuracy and sim-to-real deployment readiness
• Develop and test humanoid robot behaviors in simulation, including navigation, object manipulation, environmental interaction, and household or real-world task automation workflows
• Work with Unitree humanoid robotics platforms, including Unitree G1/G2/H2, Figure 02/03, NEO 1X and Agibot Yuanzheng A2 robots, for integration, behavior testing, motion control, and real-world deployment validation
• Debug, iterate, and improve robot control logic, autonomy systems, perception pipelines, and middleware communication architectures
• Support sim-to-real transfer, including calibration, hardware validation, locomotion tuning, and performance optimization on physical humanoid robots
• Collaborate closely with hardware, embedded systems, AI, and robotics engineering teams to ensure seamless system integration between simulation and real-world robotic environments
• Assist in robotic navigation, localization, motion planning, and manipulation system development for autonomous task execution
• Collaborate on low-level hardware interaction and onboard compute integration using platforms such as NVIDIA Jetson and STM32-based systems
• Contribute to robotics software architecture decisions for scalable AI-driven humanoid robotics deployment
• Support robotics prototyping, kinematic analysis, motion system validation, and system testing workflows using MATLAB and CAD-based development processes
• Assist in sensor integration, actuator control, robotic perception systems, and robotics communication layers across ROS / ROS 1 / ROS 2 ecosystems
• Participate in real-world robotic deployment testing involving autonomous learning workflows and physical environment interaction
   

Required Skills & Qualifications:

• Strong several years experience with ROS2 (topics, services, actions, TF2) and familiarity with broader ROS / ROS 1 robotics ecosystems
• Proficiency in Python (async programming, APIs, system integration)
• Hands-on experience integrating AI/LLM systems with real-world robotic or automation applications
• Strong experience with robotics simulation tools such as Isaac Sim, MuJoCo, Gazebo, or NVIDIA Omniverse
• Real-space simulation experience involving autonomous robotic systems and sim-to-real validation workflows
• Understanding of robot kinematics, locomotion systems, motion planning, robotic navigation, localization, manipulation systems, and sensor feedback loops
• Experience developing or deploying autonomous robotic behaviors in real-world environments
• Experience working with Linux (Ubuntu) environments
• Strong debugging, robotics middleware, and distributed system integration skills
• Familiarity with onboard robotic compute platforms such as NVIDIA Jetson
• Exposure to embedded systems, microcontroller integration, or hardware communication protocols
• Good English communication skills (minimum B1/B2 level)
   

Preferred / Advantageous Experience:

• Experience working with Unitree robotics platforms and Unitree SDKs
• Hands-on experience with Unitree G1, G2, and H2 humanoid robots
• Experience developing humanoid robot behaviors involving locomotion, navigation, manipulation, or autonomous task execution
• Familiarity with OpenClaw or similar robotic manipulation frameworks
• Prior sim-to-real transfer experience in robotics projects
• Knowledge of reinforcement learning (RL) in robotic control systems and autonomous learning workflows
• Experience with household robotics, service robotics, or real-world robotic task automation systems
• Experience with AR/VR systems, haptics integration, or immersive robotics simulation workflows
• Exposure to humanoid robotics, dexterous manipulation systems, or embodied AI platforms
• Experience with embedded systems development using STM32 or related microcontroller platforms
• Familiarity with VHDL or low-level hardware interfacing for robotics and control systems
• Experience using MATLAB for robotics modeling, simulation, or algorithm development
• Familiarity with CAD tools and robotics prototyping workflows
• Experience deploying robotics or AI workloads on NVIDIA-based edge computing platforms
• Experience working in fast-paced startup or R&D environments
   

What we offer:

• A role within a company with a strong track record of innovation and success
• Diverse AI and automation projects that offer broad learning opportunities
• Room for career growth, skill expansion, and leadership development
• A collaborative international environment with a focus on cutting-edge robotics, AI, simulation, autonomous systems, and humanoid robotics technologies
• Opportunity to work on next-generation humanoid robotics systems integrating AI agents, robotics middleware, real-space simulation environments, autonomous learning systems, and real-world robotic deployment
• Direct exposure to advanced humanoid robotics platforms including Unitree robotic systems and real-world autonomous robotics applications
   

Job requirements: High-speed Internet (100 / 100 Mbps upload and download speeds), noise-cancelling headset (headphones with microphone), and a high-quality video conferencing camera to participate with clients and company management.
 

Candidates must have AI certification from Anthropic (Claude) or equivalent accreditation institutions, demonstrating practical experience in developing with COWORK, AGENTS, SKILLS, LLM, workflows, automations, or other AI solutions. Link for the required courses: https://claude.com/resources/courses or equivalent.

Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools 

About us

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

Overview

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

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

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

Responsibilities

System development

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

Product software support & verification

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

Engineering quality & delivery

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

Simulation & replay tooling

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

Required skills & experience

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

Nice to have

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

What we offer

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

About 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.

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.