SoftServe has unveiled a substantial expansion of its Robotics & Advanced Automation practice, marking a decisive step toward consolidating expertise in intelligent machines across its global delivery centers. Over the next several months the organization intends to onboard close to one hundred engineers, with a notable share of those positions located in Ukraine, where the local talent pool has proven especially adept at handling complex, multidisciplinary challenges. This hiring surge reflects a broader market shift in which firms are no longer satisfied with isolated automation patches; instead they seek comprehensive capabilities that merge artificial intelligence, advanced perception, and real‑time control to produce robots that can operate autonomously in unpredictable settings. By bolstering its workforce, SoftServe aims to shorten the time from concept to production for client projects, while simultaneously creating internal career pathways that enable engineers to grow from individual contributors to technical leaders. The initiative also highlights the company’s confidence in Ukraine’s evolving reputation as a nexus for high‑tech innovation, where a deep bench of specialists can support ambitious endeavors ranging from warehouse logistics to space‑grade robotics.
Although the recruitment effort places particular emphasis on senior engineers who can architect system‑level designs, mentor junior talent, and navigate complex stakeholder expectations, SoftServe is simultaneously welcoming applications from middle‑level and entry‑level specialists eager to develop their careers within a cutting‑edge robotics environment. Candidates who possess solid fundamentals in software engineering, embedded firmware, or control theory will discover opportunities to contribute to initiatives that intertwine machine‑learning pipelines with hardware integration, sensor suites, and actuation mechanisms. The organization has instituted a structured onboarding framework that pairs newcomers with seasoned leads, ensuring a smooth transfer of knowledge and rapid acclimatization to real‑world demands such as sensor fusion, trajectory planning, safety validation, and regulatory compliance. By fostering a culture of continuous learning and mentorship, SoftServe seeks to build a pipeline of talent capable of sustaining long‑term robotics innovation.
Prospective hires are expected to demonstrate practical experience with the Robot Operating System (ROS), NVIDIA’s Isaac Sim simulation suite, and the Omniverse platform for constructing high‑fidelity digital twins. Mastery of computer vision libraries—such as OpenCV, TensorFlow‑based object detectors, and PyTorch‑driven segmentation models—is highly prized, as is familiarity with sensor fusion techniques that combine lidar, RGB‑D, and inertial measurements into coherent environmental maps. Beyond tool‑specific expertise, SoftServe looks for engineers capable of orchestrating these components into end‑to‑end pipelines that enable robots to perceive their surroundings, reason about optimal actions, and execute motions with precision and safety. This integrated mindset is becoming a decisive factor in a market where clients demand solutions that can adapt to changing layouts, variable payloads, and unexpected obstacles without extensive re‑engineering.
The industry’s appetite is increasingly directed toward professionals who can fluidly navigate the convergence of artificial intelligence, high‑resolution modeling, sophisticated sensorics, autonomous navigation algorithms, and low‑latency control loops. In concrete terms, this involves designing perception streams that feed data into reinforcement‑learning or imitation‑learning models, validating those models within photorealistic simulators before transferring the learned policies to physical hardware, and closing the loop with feedback from encoders, force‑torque sensors, and vision systems to guarantee stable and adaptive behavior. Such end‑to‑end expertise empowers teams to dramatically cut development cycles, reduce reliance on costly physical prototypes, and enhance the robustness of autonomous functions when operating in dynamic, unstructured environments like crowded warehouses or outdoor construction sites.
SoftServe’s robotics practice addresses a spectrum of high‑value sectors. Autonomous mobile robots and intelligent transport vehicles are being refined to optimize intralogistics flows, reduce manual handling, and enable flexible, just‑in‑time delivery within factories and distribution centers. In the realm of industrial automation, emphasis is placed on integrating robotic arms with vision‑guided quality inspection, adaptive machining cells, and collaborative work cells where humans and machines share workspace safely. Fleet management solutions provide centralized orchestration of dozens of units, featuring conflict‑avoidance algorithms, dynamic task allocation, and real‑time health monitoring. High‑precision modeling supports niche applications ranging from semiconductor wafer manipulation to delicate aerospace component assembly, where micron‑level repeatability is essential. Furthermore, the group is devoting resources to logistics‑center automation, supply‑chain visibility platforms, and even concept studies for extraterrestrial exploration, demonstrating the breadth of its ambition.
To substantiate its designs, SoftServe operates a purpose‑built robotics laboratory in Lviv that occupies six hundred square metres of adaptable experimental space. Within this facility engineers interact with a diverse array of platforms, including the Unitree G1 humanoid, industrial manipulators sourced from KUKA, UFACTORY, and WLKATA, as well as customizable mobile bases equipped with various wheel or track configurations. The lab is instrumented with motion‑capture cameras, force‑torque sensors, multi‑spectral vision systems, and environmental controls that enable repeatable testing of mechanical stress, thermal behavior, and electromagnetic interference. By housing such a broad suite of equipment under one roof, the company can conduct end‑to‑end validation—from algorithmic conception to physical interaction—without needing to outsource critical stages of development.
The Lviv testbed serves as a rigorous proving ground for computer vision algorithms such as object detection, pose estimation, semantic segmentation, and tracking, evaluated under diverse lighting conditions, occlusions, and motion blur scenarios. Sensor subsystems—including spinning lidar units, structured‑light cameras, and inertial measurement units—are carefully calibrated and fused to generate reliable, real‑time environmental maps that feed navigation and manipulation planners. Mechanical designs undergo stress testing for load limits, fatigue resistance, vibration modes, and thermal expansion, while control loops are tuned for responsiveness, damping, and robustness against external disturbances. By performing these assessments in a tangible setting, SoftServe can uncover integration defects early, thereby lowering risk, avoiding costly redesigns, and ensuring that the final product meets both performance and safety criteria when deployed at customer sites.
Earlier in 2026 SoftServe disclosed that it had welcomed approximately 120 junior engineers into its Ukrainian offices, a tally that mirrors the figure recorded for the preceding year and surpasses the analogous period in 2024. The most prominent concentrations of those early‑career hires were in DevOps and front‑end development, each claiming roughly nineteen specialists. Additional junior positions were filled in quality assurance, Python‑oriented backend engineering, and C++‑focused systems programming, reflecting a balanced investment across the software spectrum. This pattern underscores the organization’s dedication to fostering talent pipelines that span the full stack, while concurrently building the deep technical bench required for its expanding robotics and automation initiatives.
At present SoftServe employs more than seven thousand individuals across Ukraine, with roughly fifty‑five hundred classified as technical specialists engaged in software engineering, data science, hardware design, embedded systems, and allied disciplines. The sheer scale of the workforce creates an extensive internal talent marketplace where engineers can transition between projects, contribute to communities of practice centered on topics like artificial intelligence, edge computing, or cyber‑physical systems, and partake in structured mentorship and upskilling programs. Such depth also furnishes the organization with the staying power necessary to sustain multiyear robotics endeavors that demand sustained effort, iterative refinement, and close cooperation with global clients.
The decision to enlarge the robotics division is anchored in compelling macro‑level growth indicators for the automation sector. According to data published by the International Federation of Robotics, manufacturers worldwide install close to half a million new industrial robots each year, and analysts anticipate that annual installations could exceed seven hundred thousand by the year 2028. Several concurrent forces are energizing this expansion: persistent labor shortages in numerous economies, upward pressure on wages that render automation an economically attractive alternative, corporate imperatives to increase output while simultaneously curtailing operating expenses, and the accelerating evolution of artificial intelligence which equips machines to manage unstructured, cognitively demanding tasks that were once the exclusive domain of human workers.
SoftServe characterizes the current wave of robotics as a transition toward Physical AI, a paradigm in which machines transcend rote execution to acquire situational awareness, learn from interaction, and engage safely with human collaborators. Modern engineering teams now steward the complete lifecycle: they train perception and decision‑making models inside high‑fidelity simulators such as NVIDIA Isaac Sim and Omniverse, generate synthetic datasets to stress‑test those models, and subsequently transfer the validated behaviors onto physical platforms equipped with real‑time controllers, safety‑rated networks, and compliant actuation. An illustrative case is the digital twin constructed for Toyota Material Handling Europe, where virtual autonomous forklifts navigate photorealistic warehouse layouts, allowing engineers to experiment with traffic patterns, fault injection, and performance tuning long before any physical hardware is commissioned, thereby reducing both development risk and time‑to‑market.
Beyond conventional logistics, the robotics group is pushing into extreme and specialized domains. Active projects encompass the modeling of lunar surface operations for future habitat assembly, the design of inspection robots capable of traversing the tight confines and hazardous atmospheres of offshore oil platforms, and the creation of software stacks that govern the motion of humanoids, agile mobile platforms, and heavy‑duty industrial manipulators. For engineers aspiring to join this frontier, the recommended path is to cultivate a blend of software fluency—particularly in ROS, Python, and C++—with substantive hands‑on experience in sensor integration, simulation tools, and real‑time control frameworks. Companies looking to invest in automation should begin by articulating precise use cases, allocate resources to virtual prototyping to de‑risk hardware expenditures, and seek partners who can deliver end‑to‑end capabilities spanning concept, simulation, field deployment, and ongoing support, thereby ensuring that automation investments yield measurable returns in productivity, safety, and scalability.