Education Requirements:

• Bachelor's degree or above in Computer Science or related fields.

Experience Requirements:

• 5+ years of software testing experience.

• Experience in building testing systems from scratch, test development experience in large-scale software projects or systems.

• Familiar with open-source testing frameworks and Linux development tools, familiar with at least one scripting language: Shell, Python, etc.

• Deep understanding of software testing basic theories, familiar with relevant testing methods.

• Familiar with at least one automated testing tool, capable of independently completing automated tests. Bonus: understanding of at least one deep learning training framework, such as TensorFlow, PyTorch, Caffe. Bonus: certain algorithm/model implementation capability, experience in deep learning coding and debugging.

Other Requirements:

• Good learning, communication, and collaboration skills.

Responsibilities:

• Build research institute's platform testing system, covering unit testing, integration testing, regression testing, etc.

• Responsible for testing research institute's system platforms and algorithm platforms, follow up on the entire testing process, ensure system functionality, performance, and stability.

• Construction and maintenance of internal testing environment, test case management, etc.

• Participate in project or task reviews, formulate test plans, assist software engineers and algorithm engineers in improving platform quality, and design quality assurance and testing strategies for different functions.

Experience Requirements:

• Rich customer resources in energy, transportation, manufacturing, logistics, cultural tourism and other industries.

• Strong market analysis and customer management skills.

• Understanding of technologies and products in Artificial Intelligence, intelligent agents, embodied Artificial Intelligence, intelligent systems.

Other Requirements:

• Good communication and negotiation skills, good at discovering customer needs and scenarios.

• Strong sense of responsibility, able to withstand work pressure.

• Teamwork spirit, able to collaborate with team members.

• Passion for sales work, willing to challenge sales targets.

Responsibilities:

• Responsible for market development and customer expansion, establishing good customer relationships.

• Understand customer needs, provide professional product knowledge and sales advice.

• Participate in formulating sales strategies and plans, achieve sales targets.

• Collect market information, promptly feedback to the team, provide references for product optimization.

• Assist customers with after-sales service, improve customer satisfaction.

Education Requirements:

• Master's degree or above in Computer Science or Mathematics.

Experience Requirements:

• Professional knowledge in computer vision, Natural Language Processing, multimodal pre-training and other related fields.

• In-depth research in one or more areas of computer vision, Natural Language Processing, multimodal, deep learning, including but not limited to: image/video understanding, detection, segmentation, action recognition, multimodal, RAG, few-shot learning.

• Familiar with training and deployment of one or more framework models in PyTorch/TensorFlow, understanding of mixed-precision training, distributed training, TensorRT deployment.

• Strong model development and tuning capabilities, project experience in video content understanding or multimodal retrieval preferred.

• Winners in competitions like Kaggle, COCO, ActivityNet, ICPC, NOI/IOI preferred.

Other Requirements:

• Strong ability to model business problems into algorithm models, strong technical curiosity, self-drive and enterprising spirit, able to timely pay attention to and learn industry best practices preferred.

Responsibilities:

• Responsible for multimodal/CV/NLP algorithm application research and implementation in various business scenarios, including but not limited to risk mining/hotspot discovery/information retrieval/knowledge graph/intelligent dialogue.

• Track the latest research results in multimodal field to continuously improve algorithm application effects, research directions include but are not limited to multimodal VLMs, LLM and other frontier technologies.

• Deeply participate in product R&D projects, work closely with product managers/business R&D/business quality/operations to improve overall project efficiency and benefits.

• Responsible for tracking and evaluating algorithm effects and performance, continuously optimizing and improving algorithms, solving problems and challenges in algorithms.

Experience Requirements:

• Solid Python engineering skills: type annotation, exception design, structured logging, code readability and layered design.

• Asynchronous concurrency experience: deep understanding of asyncio (Task, Queue, Event, Lock/Barrier, timeout and cancellation), able to implement highly reliable asynchronous pipelines.

• Event-driven & communication: familiar with pub/sub and RPC (gRPC/WebSocket/Kafka/NATS or one of them).

• Quality and testing: able to write stable tests and mocks for asynchronous logic; experience in CI/CD practices and performance analysis/optimization.

• Low-latency real-time system experience (audio/video/streaming data/command closed-loop or one of them); Decision module development experience (large models, reinforcement learning, rule engines, behavior trees, etc.)

Other Requirements:

• Cross-team collaboration and technical documentation writing skills.

Responsibilities:

• Design/implement asyncio-based action execution pipelines: concurrent scheduling, order guarantee, timeout and cancellation, failure recovery and retry. Establish event-driven mechanisms.

• Interface with external services (such as gRPC/WebSocket/HTTP streaming interfaces), manage connection lifecycle and resources; handle high-frequency state/message streams. Unify serialization/deserialization and protocol constraints, ensuring latency, throughput and stability.

• Develop agent-driven algorithms based on various technologies (large models, reinforcement learning, behavior trees, etc.).

• Based on existing simulation platforms, develop specific atomic actions as required by the project. Generate environment assets through motion capture data or extracting skeletal point data from video streams.

• Improve logging, metrics, tracing, and alerts; build an observable panel for asynchronous links. Establish unit/integration/stress test baselines, locate and solve race conditions, deadlocks and other problems.

Education Requirements:

• Master's degree or above in Computer Science, Artificial Intelligence, Automation or related fields (educational requirements can be relaxed for those with relevant project experience).

Experience Requirements:

• Familiarity with Omniverse platform usage, with relevant development experience for a certain number of years preferred.

• Experience in interdisciplinary learning, work, or research in cognition, vision, reinforcement learning preferred.

Other Requirements:

• Solid programming foundation.

• Good communication skills and teamwork, proactive.

• Strong problem analysis and learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

Responsibilities:

• Virtual social scene development (Omniverse), supporting the implementation and verification of various interaction algorithms among multi-agents.

• Social scenes need to support object collision, agent expression and body language display, scene customizability or automatic generation, and customizable agent behavior. Agents in the scene can receive multi-modal signals (e.g., first-person observation images, ambient sound input).

• Responsible for lab Demo development, joint system tackling with other labs and departments, cooperating to implement related systems.

Education Requirements:

• Master's or PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Familiar with Linux system, solid programming skills, data structures and algorithms, proficient in at least two programming languages.

• Familiar with and master principles of various optimization algorithms, machine learning, multi-agent reinforcement learning, deep learning, heterogeneous and asynchronous computing.

• Able to use mainstream frameworks like TF, PyTorch for model building and algorithm tuning.

• (Plus) Published papers in AI journals/conferences.

Other Requirements:

• Strong understanding and knowledge of AI.

• Strong hands-on and fast learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

• Good English skills, able to read relevant literature.

• (Plus) Knowledge in complex networks, Bayesian statistics, stochastic processes, information theory, game theory, knowledge graphs.

Responsibilities:

• Participate in cutting-edge research in multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Collaborate with team members to complete research projects, read papers, implement algorithms, conduct large-scale experiments.

• Participate in or lead the design and development of platforms or systems, promote the implementation of basic model algorithms.

Education Requirements:

• PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Published at least 2 papers as first/corresponding author in top international AI conferences or SCI journals.

• Achieved significant results in at least one area among multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Social intelligence related work preferred.

• (Plus) Knowledge in optimization theory, complex networks, Bayesian statistics, stochastic processes, information theory, knowledge graphs.

Other Requirements:

• Good academic background and excellent independent research and innovation ability, self-driven, capable of leading research projects and guiding interns.

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Conduct cutting-edge research in multi-agent systems modeling, agent learning and decision-making, communication and collaboration, game theory, swarm intelligence, producing impactful original research results.

• Lead team members in research projects, guide interns.

• Collaborate with engineering team to achieve technology transfer and algorithm implementation.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid CV theoretical foundation, familiar with algorithms in related fields.

• Research background and work experience in 3D vision, image processing, video understanding preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch), good programming skills (Python / C++).

Responsibilities:

• Track latest AI research, responsible for algorithm research integrating visual perception with natural language, speech and other perception modules.

• Integrate machine vision with natural language processing, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Develop and optimize 3D reconstruction algorithms based on monocular, binocular, multi-camera.

• Optimize effects of basic computer vision modules, including but not limited to semantic segmentation, object detection/tracking, behavior recognition, pose estimation.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid cognitive/math/physics foundation, understanding of main tasks in computer vision, NLP, relevant project experience, flexible, adaptable.

• Experience in interdisciplinary learning, work, or research in cognition, computation, math-physics preferred.

• Winners in basic science international competitions preferred.

• Familiar with mainstream deep learning frameworks (TensorFlow/PyTorch), good programming skills (Python), strong execution.

Other Requirements:

• Good communication skills and teamwork, proactive.

• Strong problem analysis and learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

Responsibilities:

• Responsible for virtual task scene development (Omniverse/Unity3D/UE), cognitive computing modeling and general inference engine R&D, realizing a new generation of agents with human-like abilities such as perception, cognition, memory, reasoning, emotion, value.

• Specifically includes active causal discovery, causal chain-based task planning, efficient inference algorithms in complex reasoning tasks, efficient inference engines, mechanism discovery and computational modeling of important cognitive abilities, value learning and autonomous task generation, and other important AI tasks.

• Responsible for lab Demo development, joint system tackling with other labs and departments, cooperating to implement related algorithms in large national application scenarios.

Education Requirements:

• PhD degree in Artificial Intelligence, Robotics, Computer Science, Automation, Applied Mathematics or related fields.

Experience Requirements:

• Published papers in top international AI journals or academic conferences.

• Good academic background and research ability, able to independently undertake research tasks.

Other Requirements:

• Excellent mathematical foundation.

• Aspiring to engage in cutting-edge AI research, passionate about scientific research, full of challenge spirit.

• Excellent Chinese and English oral and written communication skills, good teamwork spirit.

Responsibilities:

• Simulation and Interaction Lab undertakes numerous research tasks centered on autonomous intelligence, focusing on cutting-edge exploration in embodied AI, cognitive computing, reinforcement learning, mixed-intelligence simulation, intelligent graphics generation.

• Responsible for conducting cutting-edge theoretical and technological research in AI, producing impactful original research results.

• Lead or participate in specific research projects, producing impactful scientific research results.

• Work closely with team members to promote the implementation of basic algorithm models.

Education Requirements:

• Bachelor's degree or above in Computer Science, Robotics, Mathematics, Physics or related fields.

Experience Requirements:

• Familiar with either Windows/Linux development environment, proficient in C++ programming language.

• Preference for one of the following: (1) experience in large-scale system development, debugging and optimization; (2) familiar with Unreal Engine/Unity/Airsim; (3) familiar with OpenGL/Vulkan/DirectX graphics APIs.

Other Requirements:

• Understanding of computer graphics, robotics, physics simulation preferred.

• Strong sense of responsibility, good team communication and collaboration skills.

Responsibilities:

• Develop automated virtual world scene construction system based on specified 3D engine.

• Develop human/robot motion simulation system based on specified 3D engine.

• Develop multi-person VR/AR interaction system based on specified 3D engine.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid NLP theoretical foundation, familiar with algorithms in related fields.

• Research background and work experience in natural language understanding, information retrieval preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch / MXNet), understanding of popular language models like Seq2Seq, Transformer.

• Good programming skills (Python / C++).

• (Plus) Mastered ASR, TTS speech technologies or relevant project experience.

Responsibilities:

• Track latest AI research, responsible for algorithm research integrating natural language processing with machine vision, speech and other perception modules.

• Integrate natural language processing with machine vision, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Establish explainable Q&A inference models, including neuro-symbolic reasoning, graphic reasoning.

• Optimize effects of basic natural language processing modules, including but not limited to word segmentation, entity recognition, syntactic analysis, intent classification.

Education Requirements:

• Master's degree or above in Computer Science, Robotics, Automation, Mathematics or related fields.

Experience Requirements:

• Solid theoretical foundation and practical experience in one or more areas: 3D vision (e.g., 3D reconstruction, point cloud processing, SLAM), computer vision, robotics, embodied intelligence, or vision-language models (VLMs).

• Proficient in 3D data processing tools and libraries (e.g., Open3D, PCL, Trimesh, PyBullet, Unity, Blender), and proficient in Python and PyTorch for model training and deployment.

• Experience in building data evaluation benchmarks or large-scale data quality control preferred.

Other Requirements:

• Strong data analysis and problem-solving skills, data-sensitive, able to design rigorous experiments to evaluate data quality and algorithm performance.

• Strong sense of responsibility and excellent cross-team communication skills, good technical documentation habits, strong self-drive and technical curiosity, proactively follow and learn cutting-edge technologies in the field.

Responsibilities:

• Responsible for collecting, automatically generating, annotating, managing, and building a quality evaluation system for 3D scene data (e.g., point clouds, Mesh, RGB-D, panoramic images) and embodied task data (e.g., robot operations, navigation trajectories, multi-modal instructions).

• Design and develop automated data quality detection and control (QC) processes and tools, perform validity, consistency, accuracy, and bias analysis on large-scale 3D and embodied data to ensure data quality meets algorithm R&D requirements.

• Build and maintain evaluation benchmarks and metric systems for 3D scene understanding and embodied tasks (e.g., visual language navigation VLM, operation tasks, simulation environment evaluation), responsible for systematic quantitative and qualitative evaluation of algorithm models.

• Collaborate closely with algorithm researchers and engineers, deeply understand business requirements, transform complex physical space interaction problems into quantifiable data indicators and evaluation tasks, driving algorithm iteration and optimization.

Benefits:

• Research environment combining cutting-edge topics with real scenarios

• Highly free exploration space and fast-iterating R&D process

• Competitive salary

• Opportunity to work with top researchers and engineers

Education Requirements:

• Master's degree or above in Robotics, Computer Science, Automation, Mechanical/Electronic Engineering or related fields (PhD preferred).

Experience Requirements:

• Solid programming skills (C++/Python), familiar with ROS2, Linux development environment.

• Familiar with one or more modules of robotic systems: perception (computer vision, deep learning, multimodal fusion), decision and planning (motion planning, reinforcement learning, imitation learning), control (dynamics modeling, control theory, MPC/ILQR), simulation and systems (Gazebo, Mujoco, Isaac Sim).

• Strong research capabilities or engineering implementation experience, able to quickly go from paper to implementation.

• Bonus: hands-on development experience with robot platforms (mobile robots, robotic arms, humanoid robots).

• Bonus: published papers in top robotics/AI conferences (ICRA, IROS, RSS, CoRL, NeurIPS, ICLR, CVPR).

Other Requirements:

• Good cross-team collaboration and problem-solving skills, strong interest in robot intelligence.

• Bonus: familiar with the combination of large models and robotics (VLA, World Model, Diffusion Policy, LLM for Robotics).

• Bonus: experience in cloud/distributed training, GPU acceleration, system optimization.

• Bonus: hardware debugging capability (sensors, drivers, motor control).

Responsibilities:

• Robot system R&D: participate in the complete technology chain R&D from perception, decision, control to execution, promoting efficient execution of robots in real environments.

• Algorithm exploration and implementation: based on cutting-edge research (e.g., reinforcement learning, large model-driven VLA, motion planning, visual perception), conduct algorithm design, optimization, and engineering implementation.

• System integration: integrate perception (visual/tactile/multimodal), localization and navigation, motion control and other modules into the robot platform, ensuring real-time performance and robustness of the system.

• Software architecture and toolchain: build high-quality robot R&D toolchain, including simulation environments (Mujoco/Isaac Sim), training platforms, evaluation benchmarks, and experiment automation.

• Interdisciplinary collaboration: work closely with researchers, hardware engineers, product teams to promote the closed-loop from research prototype to actual productization. Frontiers exploration: track academic and industrial frontier progress, propose innovative research directions and engineering solutions, promote the development of full-stack robot intelligence.

Education Requirements:

• Master's or PhD degree.

Experience Requirements:

• Project experience in Artificial Intelligence.

• Basic knowledge of machine learning and deep learning, understanding of common ML/DL models like Transformer, CNN, Seq2Seq, proficient in PyTorch, Transformers and other deep learning frameworks.

• Bonus: published papers in AI conferences or journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACL, EMNLP.

• Bonus: experience in large model training, fine-tuning, proficient in PEFT.

• Bonus: experience in website or AI application design and development, participated in AI open-source projects with 100+ GitHub stars.

Other Requirements:

• Strong self-drive, keen to explore new technologies, actively communicate, discuss, and collaborate with team members.

• Bonus: strong PPT production, Demo video editing skills.

Responsibilities:

• Participate in cutting-edge research in (1) Vision-Language Model (VLM), (2) Vision-Language-Action (VLA), (3) AGI Agents.

• Collaborate with team members to complete research projects, read papers, implement algorithms, conduct large-scale experiments.

• Participate in or lead the design and development of systems and platforms, promote the implementation of deep learning algorithms.

Education Requirements:

• PhD degree.

Experience Requirements:

• Published papers in top international AI conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACL, EMNLP).

Other Requirements:

• Strong self-drive, aspiring to engage in cutting-edge AI research, capable of leading a project and guiding interns.

• Excellent English oral and written communication skills.

Responsibilities:

• Conduct cutting-edge research in (1) Vision-Language Model (VLM), (2) Vision-Language-Action (VLA), (3) AGI Agents, producing impactful original research results.

• Lead team members in research projects, guide interns.

• Collaborate with engineering team to achieve technology transfer and algorithm implementation.

Education Requirements:

• Master's degree or above in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Solid knowledge in deep reinforcement learning and imitation learning, familiarity with computer vision preferred.

• Experience in at least one programming language and tool: C/C++, Python, JAX or PyTorch experience preferred.

Other Requirements:

• Good English skills, able to read relevant literature.

Responsibilities:

• Conduct algorithm research and implementation around cognitive AI systems, robot vision, multi-agents.

• Build and maintain robot reinforcement learning training platform, conduct simulation and real-machine training tests.

• Conduct robot training, solve and optimize robot motion control related problems, coordinate with traditional control methods to improve overall robot motion performance.

• Research latest reinforcement learning algorithms, reproduce papers, design robot policy learning algorithms.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid CV theoretical foundation, familiar with algorithms in object detection, recognition, segmentation, tracking, 3D vision and related fields.

• Research background and work experience in scene reconstruction and understanding, video understanding preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch), good programming skills (Python / C++).

• Solid professional foundation and project experience.

Other Requirements:

• Good communication skills and teamwork, proactive.

• Strong problem analysis and learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

Responsibilities:

• Track latest AI research, responsible for R&D of multimodal information retrieval and scene perception understanding, and promote the application and implementation of multimodal scene perception understanding algorithms in business scenarios.

• Integrate machine vision with natural language processing, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Develop and optimize 3D reconstruction algorithms based on monocular, binocular, multi-camera.

• Optimize effects of basic computer vision modules, including but not limited to semantic segmentation, object detection/tracking, behavior recognition, pose estimation.

Education Requirements:

• Master's or PhD degree in Computer Science or related fields.

Experience Requirements:

• Solid programming skills, data structures and algorithms, proficient in at least two programming languages.

• Published papers in AI journals/conferences preferred.

Other Requirements:

• Strong understanding and knowledge of Artificial Intelligence.

Responsibilities:

• Mainly responsible for collaborating with team members on academic research and frontier exploration in general vision, natural language processing, robotics, cognition and reasoning, machine learning, multi-agents, intelligent interaction.

• Lead or participate in the design and development of platforms or systems, promote the implementation of basic model algorithms.

Education Requirements:

• PhD degree in Computer Science, Software Engineering, Mathematics or related fields.

Experience Requirements:

• Good academic background and excellent independent research and innovation ability, published impactful papers in top international conferences and journals.

• Achieved significant results in at least one area among computer vision, natural language processing, robotics, cognitive science, machine learning, multi-agents, meta-intelligence and embodied intelligence.

Other Requirements:

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Mainly responsible for academic research and frontier exploration in general vision, natural language processing, robotics, cognition and reasoning, machine learning, multi-agents, intelligent interaction.