Full-Time
Go-To-Market / Technical Sales Manager
Lightwheel Limited
51-200 employees
Generates synthetic 3D data for autonomy
No salary listed
Mountain View, CA, USA
Hybrid
Bachelor's
 Sales & Account Management (2) |
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- At least 1 year of experience in technical sales, enterprise sales, solutions consulting, or business development is required.
- The candidate must have account management and relationship-building skills with both technical and business stakeholders.
- The candidate must be able to deliver clear, compelling presentations and demonstrations that drive engagement and opportunity progression.
- The candidate must be comfortable translating customer requirements into technical solutions and coordinating with internal teams to execute.
- The candidate must demonstrate strong communication skills and a customer-first mindset.
- The candidate must be able to work cross-functionally in fast-paced, technical environments.
- The candidate must have a bachelor's degree in Engineering, Computer Science, or a related field, or equivalent practical experience.
- The candidate must be highly organized, proactive, and capable of solving problems.
- Own the full sales cycle, from outbound prospecting through discovery, solutioning, and closing.
- Identify, qualify, and develop high-potential enterprise accounts across robotics, autonomy, and embodied artificial intelligence teams.
- Manage and grow a portfolio of enterprise customers while acting as the primary point of contact and trusted advisor.
- Drive renewals, expansions, and multi-threaded stakeholder alignment within existing accounts.
- Lead technical discovery, define success metrics, and translate customer requirements into clear solution scopes.
- Deliver compelling demonstrations and presentations tailored to technical and executive stakeholders.
- Partner cross-functionally with engineering, product, and delivery teams to ensure smooth execution and customer success.
- Represent Lightwheel at industry events, customer on-site meetings, and strategic partner discussions.
- A background in artificial intelligence, robotics, simulation, synthetic data, or machine learning infrastructure is a strong plus.
- Experience selling to robotics, autonomy, or artificial intelligence infrastructure buyers such as Heads of Robotics, Vice Presidents of Engineering, or Heads of Data or Machine Learning is desirable.
- Previous experience working as a Product Manager in a technology company is desirable.
- Familiarity with simulation and robotics stacks such as Isaac Sim, Isaac Lab, Unity, Unreal, and Robot Operating System is desirable.
- Experience supporting complex enterprise buying cycles, including security review, procurement, and legal processes, is desirable.
- Exposure to high-annual contract value or multi-stakeholder deals, such as deals exceeding $100,000 in annual contract value, is desirable.
Lightwheel AI provides synthetic data and 3D assets for autonomous driving and robotics. It generates simulation-ready assets from real video feeds and synthetic sources, runs them in physics-rich environments with soft-body dynamics, and offers datasets and training tooling for reinforcement and imitation learning. The company differentiates itself with a team from Cruise, Nvidia, and NIO, a focus on sim2real and end-to-end data solutions, and partnerships with automotive OEMs and Tier 1 suppliers. Its goal is to scale AI data capabilities for safe, real-world deployment and to expand globally.
Company Size
51-200
Company Stage
Growth Equity (Venture Capital)
Total Funding
$280.5M
Headquarters
China
Founded
2023
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Simplify's Take
What believers are saying
- Lightwheel raised RMB 2 billion in 2026, including Ant Group-backed capital.
- PICO, Alibaba Cloud, New Hope Group, and others expanded Lightwheel's ecosystem in June 2026.
- Q1 2026 orders reached roughly $100 million, and New Hope formed a joint venture.
What critics are saying
- Gasgoo's Q1 2026 orders were booked revenue, not recognized sales.
- Sequoia, a16z, and Lux-backed rivals can commoditize simulation tooling by 2027.
- Physical-AI deals with OEMs and defense contractors stretch sales cycles and integration timelines.
What makes Lightwheel Limited unique
- Lightwheel spans simulation, data generation, and evaluation in one physical-AI stack.
- Steve Xie came from Cruise, Nvidia, and NIO autonomous-driving simulation leadership.
- Lightwheel claims 25,000 environment nodes, 100,000 task types, and 1.5 million hours.
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Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -14%2 year growth
↓ -14%WAIC 2026 | RoboSense officially unveils second-generation all-solid-state perception platform E2. Edited by Betty From Gasgoo | July 17, 2026 19:08 BJT Gasgoo Munich- RoboSense has unveiled its second-generation all-solid-state perception platform, the E2, at the 2026 World Artificial Intelligence Conference (WAIC). Built on the company's in-house "Peacock" SPAD-SoC chip, the platform was showcased alongside a suite of digital LiDAR and fusion sensors powered by both the "Peacock" and "Phoenix" chips. The display maps out a complete technology chain spanning from underlying chips and spatial perception products to the acquisition of real-world data. The E2 platform leverages the in-house "Peacock" SPAD-SoC and 2D VCSEL chips to adopt an all-solid-state architecture, handling everything from signal transceiving to data processing at the chip level. Compared to its predecessor, the E1, the E2 series delivers a wider field of view within a more compact form factor. Precision has tripled, and the point frequency hits the million-level mark, making it suitable for a wide range of applications, including lawn-mowing robots, humanoid robots, quadrupeds, and drones. Image Source: RoboSense The E2 has already secured orders from leading global players in yard robotics, smart hardware, and consumer electronics, moving swiftly into the mass-production phase. RoboSense has also forged partnerships with clients in the physical AI ecosystem, specifically those focused on spatial perception and real-world data acquisition. RoboSense also announced strategic alliances with BeingBeyond, Origen, and Lightwheel. These partnerships will focus on robotic spatial perception, real-world data collection, processing, model training, and application validation. Together, they aim to advance the infrastructure for physical AI perception, extending the reach from the "eye of the robot" to the data entry point for physical AI, accelerating RoboSense's evolution toward a robotics platform company. Centered on three core capabilities - in-house chip development, AI data closed-loops, and automotive-grade mass production - RoboSense is systematically building a robotic technology platform tailored for the physical AI era. At the heart of this evolution lies the chip, serving as the bedrock for continuous advancement in perception technology. On the AI integration front, robots equipped with RoboSense's perception products can generate computable and learnable data assets while moving and operating. This capability creates an efficient closed loop between the perception system and intelligent models, providing the high-quality data support needed for the continuous evolution of physical AI large models. In terms of engineering delivery, RoboSense draws on years of experience in automotive-grade R&D, testing, and manufacturing. The company has established a comprehensive system spanning chip design, product development, and large-scale delivery. This mature engineering capability is now expanding into the robotics sector, ensuring that new technologies transition rapidly from the laboratory to viable, deliverable industrial solutions rather than stalling at the prototype stage. Gasgoo not only offers timely news and profound insight about China auto industry, but also help with business connection and expansion for suppliers and purchasers via multiple channels and methods. Buyer service: [email protected] Seller Service: [email protected]
LightWheel AI has completed a 1 billion yuan strategic funding round, with participation from government-backed funds, industry investors and existing shareholders. Investors included government-backed funds affiliated with Zhongguancun Science City, Sichuan Development and Shandong Development, alongside corporate investors such as Giant Network, Yusys Technologies and Wuxi Boton Technology. The funds will support research into physical AI data and evaluation infrastructure, expand training datasets and testing capabilities, and accelerate development of products for robot learning and real-world applications.
Seeds | Lightwheel completes new funding round. Edited by Yara From Gasgoo | May 27, 2026 23:04 BJT Gasgoo Munich- Lightwheel has recently completed a new funding round, led by Ant Group. Lightwheel stated that proceeds from the round will primarily go toward core technology investments in data and evaluation infrastructure for physical AI. The company plans to bolster its large-scale delivery capabilities while accelerating global expansion and ecosystem partnerships. The participation of multiple industrial investors, in particular, will strengthen Lightwheel's synergy across technology, scenarios, and ecosystems. This backing is expected to create a more efficient closed loop involving high-quality embodied data, simulation training, model evaluation, and industrial deployment - pushing physical AI infrastructure capabilities toward large-scale application. Image Source: Lightwheel Lightwheel is dedicated to building data and simulation infrastructure for physical AI. The company has established an end-to-end system for physical AI data and evaluation that spans training, assessment, and deployment feedback. At the core of this solution is a proprietary, full-stack simulation platform built on a "Solve-Measure-Generate" framework. The Solve component restores forces, collisions, contact, and deformation within virtual environments to ensure physical credibility. The Measure component introduces real-world physical properties - such as materials, contact, friction, and deformation - into the system. Finally, the Generate component scales these physical laws into simulation worlds that are trainable, evaluable, and reusable. Lightwheel currently leads the world in large-scale delivery capabilities across three key dimensions: human video data, synthetic simulation data, and industrial-grade simulation evaluation. Specifically, its human video data ecosystem covers over 25,000 environment nodes and 100,000 task types, having delivered more than 1.5 million hours of high-quality human data to date. These technological breakthroughs are rapidly translating into commercial wins: new orders hit 550 million yuan in the first quarter of 2026. Furthermore, Lightwheel has formed a joint venture with New Hope Group to integrate data, simulation, and evaluation capabilities with industrial scenarios, closing the loop from technical capability to industrial application. Gasgoo not only offers timely news and profound insight about China auto industry, but also help with business connection and expansion for suppliers and purchasers via multiple channels and methods. Buyer service: [email protected] Seller Service: [email protected]
Lightwheel AI, a Beijing-based startup building data and simulation infrastructure for physical AI systems, has completed a new funding round led by Matrix Partners China. Matrix, which led the company's Pre-A round in December 2023 and over-subscribed the subsequent Pre-A+ round, is now Lightwheel's largest institutional investor. The company provides training data generation, simulation environments and evaluation services for embodied intelligence systems and world models. Its proprietary technology combines real-world sensor data calibration with simulated data amplification to generate large-scale synthetic datasets. The funding will support scaling delivery capabilities, global expansion and partnerships with robotics manufacturers, autonomous vehicle developers and industrial automation companies. Lightwheel operates across data collection, simulation development, evaluation frameworks and production deployment pipelines for physical AI applications.
A Three-Layer Embodied Data and Simulation Engine for Scalable Deployment