Robotics Software Engineer

Q3 2026 funding watch: the top 5 AI robotics races and the data centre capex squeeze. As the first half of 2026 closes with a record $18.8 billion in global robotics funding, the third quarter pivots from fundraising to delivery. This forward-looking watch examines the upcoming IPO wave, the delivery scorecard for Tesla, Figure, and 1X, and how the $700 billion hyperscaler data centre buildout is squeezing the robotics supply chain. The closing week and the Q3 pivot. The first half of 2026 closed with a historic $18.8 billion poured into global robotics startups, driven by a massive concentration of capital in general purpose humanoid platforms. However, the closing week of June and early July signaled a distinct pivot. The market is shifting from private venture accumulation to public market validation and supply chain execution. The closing week delivered a rapid succession of IPO movements that set the stage for the third quarter. In China, Unitree Robotics secured registration approval from the China Securities Regulatory Commission for its highly anticipated STAR Market debut, backed by 2025 revenue of 1.699 billion RMB and a 332 percent growth rate. Deep Robotics filed its own prospectus for a 2.5 billion RMB raise on the same exchange. In Hong Kong, Rokae Robotics priced its offering for a July 9 listing, while autonomous driving firm Momenta launched its IPO with $375 million in cornerstone backing from GIC, Fidelity, BlackRock, and Mercedes Benz. In South Korea, dexterous hand developer Tesollo selected underwriters for a KOSDAQ tech special listing, and globally, Agility Robotics moved closer to finalizing its $2.5 billion SPAC merger under the ticker AGLT. The top 5 AI robotics races to watch. As capital seeks liquidity through these public offerings, private investment in Q3 will concentrate around five distinct technology races. Breakthroughs in any of these verticals will likely trigger the next wave of mega rounds. The first race is the general purpose humanoid platform competition. The focus has moved entirely past walking demonstrations to multi purpose autonomous task execution. Companies like Figure AI, Tesla, Unitree, UBTECH, and Apptronik are competing not just on hardware, but on the speed at which their platforms can learn new skills in unstructured environments. The second race centers on robot foundation models and world models. Software companies building universal brains for physical AI are attracting immense capital. Startups like Skild AI, Physical Intelligence, and General Intuition are competing to build the definitive operating system for embodied AI, betting that software will ultimately commoditize the hardware layer. The third race is the battle for the dexterous hand. As humanoids move into complex manipulation tasks, the actuator density and tactile sensing of the end effector have become critical bottlenecks. Specialized companies are raising significant capital to solve the hand problem for the broader industry. The fourth race involves embodied data and simulation infrastructure. Training physical AI requires billions of hours of action labeled data. Companies building the simulation environments, synthetic data pipelines, and teleoperation rigs to feed these models are becoming the essential picks and shovels of the robotics gold rush. The fifth race is deployment and fleet orchestration. Hardware is useless without the software to manage it at scale. Platforms designed to orchestrate heterogeneous fleets of robots across warehouses, factories, and retail environments are seeing increased enterprise adoption and corresponding venture interest. The delivery scorecard: promises meeting reality. The third quarter of 2026 is the critical delivery checkpoint for the aggressive manufacturing targets set over the past eighteen months. The industry is watching closely to see if production promises are matching reality. Tesla began Optimus production in the second quarter of 2026 at its Fremont facility, replacing legacy Model S and X lines. While earlier market expectations pointed to 50,000 units this year, the company has tempered near term targets, stating that initial skills will be limited to simple factory tasks. Figure AI has demonstrated aggressive scaling at its BotQ facility. After announcing a first generation line capable of 12,000 units annually, the company successfully transitioned from prototype to production phase, reportedly scaling Figure 03 output from one robot per day to one robot per hour in under 120 days. In the consumer space, 1X commenced full scale production of its NEO home robot at a 58,000 square foot factory in Hayward, California. The company, which booked 10,000 pre orders in five days last October, maintains its commitment to begin consumer deliveries before the end of 2026, aiming for a 100,000 unit annual capacity by late 2027. In China, AgiBot shipped 5,000 humanoids in the first quarter alone, setting a high bar for domestic deployment volume. The success of Unitree's STAR Market IPO in Q3 will serve as the ultimate financial scorecard for whether these aggressive production volumes translate into sustainable profitability. The data centre capex squeeze. The most significant headwind facing the robotics industry in Q3 2026 is not a lack of demand, but the gravitational pull of hyperscaler artificial intelligence infrastructure. The top five United States technology giants are projected to spend nearly $700 billion on capital expenditures this year, a 75 percent increase from 2025. This massive data centre buildout is reshaping the electronic component supply chain. AI data centres are expected to consume up to 70 percent of global memory chip production in 2026. High bandwidth memory now occupies 23 percent of total DRAM wafer capacity, driving severe shortages and price spikes. Semiconductor lead times reached 40 weeks in March, and power management integrated circuits are expected to remain constrained throughout the year. For robotics manufacturers, this translates directly into supply chain friction. Robots share many of the same component categories as AI servers, including memory, power management chips, multi layer ceramic capacitors, and high density connectors. Robotics procurement teams are now competing directly against trillion dollar hyperscalers for limited cleanroom capacity, driving up bill of materials costs and extending production timelines. However, this capital concentration also provides a tailwind. The massive investment in AI compute is rapidly driving down the cost of inference, making the cloud brains that power embodied AI significantly cheaper to operate. Furthermore, the power constrained data centre construction boom is creating a massive new demand pocket for robotics. From semiconductor fab lifting robots in South Korea to automated inspection systems for hyperscale cooling infrastructure, the AI data centre buildout is simultaneously squeezing the robotics supply chain and creating its most lucrative new customer base.

VinDynamics and Skild AI form strategic partnership to advance humanoid ROBOTICS. SAN MATEO/HANOI - Media OutReach Newswire - 8 June 2026 - VinDynamics, a robotics technology company within Vingroup, and Skild AI, a company developing foundation models for robotics, today announced the signing of a strategic Memorandum of Understanding (MOU) to collaborate on humanoid robotics and embodied AI. The move marks another step in VinDynamics' strategy to accelerate humanoid robotics development through global collaboration and advanced technology partnerships. Under the MOU, the collaboration will focus on embodied AI research, robot manipulation, sim-to-real transfer, edge AI deployment, and validation of humanoid systems in real-world environments. Both companies will also explore opportunities to integrate The Skild Brain, Skild AI's omnibodied AI software, into VinDynamics' humanoid robots. The Skild Brain runs directly on robotic hardware and enhances the adaptability, efficiency, and reliability of humanoid systems in practical applications. Discover more Additional areas under discussion may include knowledge exchange related to robot intelligence and real-world deployment, as well as potential cooperation in software, model, and hardware development, alongside the potential manufacturing of humanoid robots at scale. The partnership brings together VinDynamics' robotics engineering, manufacturing capabilities, and real-world deployment ecosystem with Skild AI's foundation model technology. Together, the companies aim to accelerate the development and deployment of humanoid robots capable of operating in complex and dynamic environments, while supporting growing demand for intelligent robotic systems across industries including manufacturing, logistics, hospitality, and commercial services. Prof. La Manh Hung, President, VinDynamics, said: "This partnership represents an important step for VinDynamics as we continue building scalable humanoid robotics platforms for real-world deployment. Skild AI brings the most exciting advances in embodied AI today. Combined with our robotics platform and manufacturing capabilities, we believe this partnership can accelerate the deployment of humanoid robots in complex environments." Mr. Deepak Pathak, Co-Founder and CEO of Skild AI, said: "The future of robotics depends on combining scalable physical systems with adaptable, general-purpose intelligence. VinDynamics brings strong engineering capabilities, manufacturing scale, and access to real-world deployment environments through the Vingroup ecosystem. We are excited to work together to advance embodied AI for practical applications." Established in September 2025, VinDynamics is a pioneering company in the field of humanoid robotics within Vingroup. The company is dedicated to developing versatile, human-centric robots capable of seamless integration into everyday life, with the scalability to support global deployment. Hashtag: #VinDynamics The issuer is solely responsible for the content of this announcement. Support InfoStride News' Credible Journalism: Only credible journalism can guarantee a fair, accountable and transparent society, including democracy and government. It involves a lot of efforts and money. Theinfostride - Tunesbid Limited need your support. Click here to Donate

Genesis AI reveals human-like robotic hands, boosting ai-robotics intersection. Genesis AI, a nascent startup, has unveiled its pioneering AI model named GENE-26.5 following a $105 million seed funding round. The model is specifically designed for robotics, particularly featuring human-like hands, contrasting the typical two-finger grippers used by other firms. * Founders: Zhou Xian and Théophile Gervet aim to enhance robotic functionality by mirroring human hands closely, allowing better data collection and improved task execution. * Advanced Tasks: Their robots already perform complex chores like cooking, playing the piano, and solving Rubik's cubes, demonstrating versatility. * Innovations: Apart from robotic hands, the company has developed a sensor-laden glove aiding in efficient data collection, potentially revolutionizing lab work and other real-world applications. * Competitive Landscape: Genesis competes with companies like Physical Intelligence and Skild AI but hopes its full-stack approach gives it an edge. * Future Plans: The startup intends to develop a complete robotic body and expand its workforce across Paris, California, and London. The discussion also acknowledges the challenges related to the use of data, especially regarding the consent of potential human contributors and the ethics surrounding data collection. This effort represents a significant stride in the robotics industry, attracting noteworthy investors like former Google CEO Eric Schmidt.