Join Us_鸿灌环境技术有限公司

Job Responsibilities

1. Comprehensively review and optimize the L4 algorithm technology stack, and design an algorithm architecture that can not only meet the current "safety first" principle but also evolve towards "efficiency improvement". Design a long-term evolution path integrating technologies such as VLM/VLA, reinforcement learning and world models.
2. Optimize the data-driven loop of L4 algorithms, and define and optimize the complete link from data collection, automatic annotation, simulation, hard case mining and continuous training to evaluation.
3. Continuously track the industry's SOTA technologies, evaluate their applicability in sanitation scenarios, and promote internal prototype verification.

Job Requirements

1. Doctoral degree in Computer Science, Artificial Intelligence, Robotics and other related majors (or senior master with equivalent level).
2. Have profound insights into both modular and end-to-end architectures, and have in-depth research or practical experience in cutting-edge technologies such as imitation learning, reinforcement learning, world models and VLM.
3. Have a deep understanding and large-scale practical experience in data-driven R&D systems (data closed-loop, simulation, evaluation).
4. Have top-level design experience in L4 algorithm architecture, and can balance performance, safety, cost and scalability from a global perspective.
5. Possess excellent technical insight, strategic thinking and abstraction ability, and be good at grasping the technical backbone of complex algorithm systems.

Job Responsibilities

1. Responsible for the design and development of application layer software for new energy vehicle controllers, with the core work being the construction, simulation and testing of VCU control strategy models based on MATLAB/Simulink.
2. Responsible for the development and implementation of specific VCU functional strategies, including but not limited to: vehicle power-on and power-off management, torque management, thermal management, fault diagnosis and processing, etc.
3. Participate in software requirement analysis, and complete the detailed design of control strategy models, automatic code generation (MBD) and software integration support.
4. Responsible for model-in-the-loop testing, and collaborate in hardware-in-the-loop testing and real vehicle debugging, analyze and solve problems encountered in the development process.
5. Write relevant design documents, test documents and technical reports.

Job Requirements

1. Educational Background & Major: Bachelor’s degree or above in Vehicle Engineering, Automation, Electronic Information Engineering, Computer Science and other related majors.
2. Work Experience: More than 5 years of VCU software development experience in OEMs or mainstream Tier 1 suppliers, with rich Simulink model development experience.
3. Proficient in MATLAB/Simulink/Stateflow, have rich MBD development experience, and be familiar with automatic code generation technology.
4. In-depth understanding of various functional modules of VCU (such as power-on and power-off, driving, charging, thermal management, etc.) and their strategy design.
5. Familiar with the new energy vehicle architecture, power system working principle and CAN communication network.
6. Familiar with ASPICE development process or functional safety standards is preferred.

Job Responsibilities

1. Lead the planning and design of autonomous driving system software architecture, output architecture solutions, technical specifications and interface documents, and clarify the boundaries and interaction logic of each module.
2. Responsible for core technology selection (such as middleware, operating system, development toolchain, etc.), evaluate the feasibility and risks of technical solutions, and promote the implementation of technical standardization.
3. Take the lead in solving major technical problems in the R&D process, guide the team to carry out module design and development work, and ensure the implementation of the architecture design.
4. Track cutting-edge technologies in the field of autonomous driving (such as large model fusion, vehicle-road collaboration, etc.), promote technological innovation and architecture iteration optimization, and enhance product technical competitiveness.
5. Build the technical team capability system, carry out technical training and guidance, and improve the overall R&D level of the team.

Job Requirements

1. Bachelor’s degree or above in Computer Science and Technology, Software Engineering, Automation, Electronic Information and other related majors, master’s degree is preferred.
2. More than 5 years of experience in autonomous driving system software R&D or architecture design, preferably with mass production experience in autonomous driving projects. In-depth understanding of autonomous driving technology stack (perception, decision-making, control, middleware) and relevant technical standards.
3. Have solid software architecture design capabilities, proficient in microservices, distributed systems and other architectural design ideas, and have experience in the implementation of complex system architectures.
4. Proficient in C/C++ programming languages, familiar with ROS/ROS2, AutoSar (CP/AP) and other commonly used middleware and development toolchains for autonomous driving.

Job Responsibilities

1. Formulate the technical strategy and roadmap in the hardware field of unmanned sweepers, lead the overall architecture planning and technical direction control of the hardware system for small unmanned sanitation vehicles and sanitation robots, and output core technical decisions.
2. Overall plan the construction and management of the hardware team, including personnel recruitment, training, performance appraisal and incentive, build an efficient hardware R&D system, and improve the overall technical capability of the team.
3. Lead the review and check of core hardware solutions (perception sensors, controllers, power systems, cleaning mechanism control modules, etc.), be responsible for the final decision-making of key device selection, and coordinate cost control and supplier system construction.
4. Overall plan the whole-process R&D management of hardware, including scheme design, development and verification, testing and certification, mass production introduction and other links, and take the lead in solving major hardware technical problems in the whole process.
5. Establish a hardware quality control system and technical standards and specifications to ensure that hardware products meet mass production and industry regulatory requirements.
6. Collaborate cross-departmentally with software, production, marketing, supply chain and other teams to promote the efficient cooperation between hardware and all links, and support the achievement of business goals. Track the cutting-edge technology trends in the industry, and promote hardware technological innovation and iterative optimization.

Job Requirements

1. Bachelor’s degree or above in Electronic Engineering, Automation, Mechatronics, Vehicle Engineering and other related majors, master’s degree is preferred.
2. More than 8 years of experience in automotive electronics or unmanned equipment hardware R&D and management, including more than 3 years of team management experience. Have experience in overall planning of mass production of unmanned sweeper hardware projects, in-depth understanding of the unmanned vehicle hardware technology stack and industry development trends, and familiar with the on-board hardware development process, industry standards and regulatory requirements.
3. Have profound hardware architecture design capabilities and technical foresight, can accurately grasp the development direction of hardware technology, and lead major technical decisions.
4. Proficient in the design principles of on-board hardware systems (sensors, controllers, power supplies, etc.), familiar with relevant interface protocols and development tools, and have extremely strong ability to tackle major technical problems.
5. Possess excellent team management, organizational coordination and leadership skills, can build an efficient R&D team, and promote cross-departmental collaborative implementation.
6. Have a strong sense of cost and quality control, and have perfect experience in supplier system construction and mass production coordination.

Job Responsibilities

1. Lead the overall layout scheme design of unmanned sanitation vehicles, including the spatial layout planning of core components such as body, chassis, power system, autonomous driving sensors (LiDAR, cameras, etc.) and cleaning operation systems, and output general layout drawings and relevant technical documents.
2. Overall coordinate the integration and matching work between various systems, solve problems such as component interference and spatial conflicts, and optimize the vehicle ergonomics, aerodynamic performance and driving stability.
3. Participate in the formulation of overall performance indicators of unmanned sanitation vehicles, carry out performance verification related to the general layout (such as axle load distribution, turning radius, approach angle/departure angle, etc.), and ensure that the overall performance meets the standards.
4. Cooperate with the supply chain and production departments to carry out component selection and process feasibility analysis, promote the mass production implementation of the general layout scheme, and solve layout-related problems in the production process.
5. Track the technical trends and relevant regulatory requirements of the unmanned sanitation vehicle industry, continuously optimize the overall vehicle layout scheme, and enhance product competitiveness. Collaborate with the R&D and testing teams to complete vehicle trial production, testing and verification work.

Job Requirements

1. Bachelor’s degree or above in Vehicle Engineering, Mechanical Design, Manufacturing and Automation, Transportation and other related majors, master’s degree is preferred.
2. More than 5 years of experience in overall layout design of commercial vehicles (sanitation vehicles, light trucks, etc.), preferably with experience in overall layout of unmanned vehicles (or intelligent connected vehicles). Familiar with commercial vehicle structure design and performance verification processes, understand the layout and integration requirements of unmanned vehicle sensors, and master relevant industry regulations and standards.
3. Proficient in vehicle general layout design methods, proficient in using 3D design software such as CATIA and UG, and can independently complete the overall vehicle layout scheme design and drawing output.
4. Have solid professional knowledge of vehicle engineering, master core technologies such as axle load distribution, power matching and aerodynamic optimization, and can carry out performance verification and optimization related to the general layout.
5. Possess excellent problem-solving ability, can effectively coordinate cross-departmental resources, and solve complex problems in the process of vehicle layout and integration.
6. Have good communication and coordination skills, team spirit and cost awareness, preferably with experience in the implementation of mass production commercial vehicle general layout.
7. Understand the structural characteristics of unmanned sanitation vehicle operation systems (cleaning, washing and sweeping, etc.), and be familiar with the installation and layout requirements of autonomous driving sensors is preferred.