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Find the latest job opportunities in AI and tech
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Find the latest job opportunities in AI and tech
Has Salary
Mechanical Engineer II, Sustaining
ICON is developing intelligent machines to build humanity's future, focusing on advanced robotics and materials for revolutionizing construction.
Education Requirements:
Bachelor's or Master's in Mechanical Engineering or related field
Experience Requirements:
5+ years of professional work experience as a Mechanical Engineer
Demonstrated knowledge of component manufacturing processes (including machining, rapid prototyping, etc.)
Demonstrated experience leading large system development projects
Proficiency in using parametric solid modeling and CAD software to design and document parts and assemblies
SolidWorks and PDM experience are required
Other Requirements:
Familiarity with making drawings and applicable drawing and tolerancing standards
Exceptional technical and problem-solving skills and reasoning ability
Adept at communicating in a collaborative team environment and seeking optimum solutions with other team members
Knowledge of the AGILE SCRUM methodology of project management
A service-oriented attitude when in a support role
Ability to prioritize and stay cool in a dynamic start-up environment
Strong verbal and written communication skills
Must be able to lift 50 pounds
Must be prepared to work, in part, in extreme environments: temps > 100 degrees or below freezing, sun, rain, mud, lack of electricity, etc.
Must be able to travel 4+ weeks per year internationally
Previous automation industry experience
Previous manufacturing and quality experience
Previous start-up experience, and/or a resourceful innovative nature with an ability to streamline or develop efficient processes
Professional experience with thermal and mechanical FEA, and topological optimization. Ansys or Solidworks simulation
Ability to read and understand electrical schematics, and the ability to troubleshoot electrical and mechanical systems
Ability to create engineering drawings and technical documentation
Industrial safety system experience
A hunger for learning and personal growth
Responsibilities:
Update existing and create new engineering drawings and documentation
Update and manage Bill of Materials
Handle Engineering Change Orders, updating documentation and communicating to Manufacturing and Supply Chain teams
Execute and build process for QA/QC of mechanical systems in the manufacturing process
Create design solutions with excellent engineering and documentation processes
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Reliability Engineer II
ICON is developing intelligent machines to build humanity's future, focusing on advanced robotics and materials for revolutionizing construction.
Education Requirements:
BS/MS in Mechanical/Mechatronics (or similar) Engineering
Experience Requirements:
5+ years of experience in Mechanical/Mechatronics (or similar) Engineering
Demonstrated excellence in an engineering role in either Product Development, Equipment/Machine Design, Manufacturing, or Testing environments
Hands-on skills with diagnostics software, hardware, tools, instruments, general electromechanical/mechatronic systems and measurement techniques
Exposure to a wide variety of test systems, production machinery, industrial sensors, and equipment (pogo-pins, pressure transducers, temperature controllers, current meters, etc.)
Knowledge of various part fabrication techniques. (machining, welding, sheet metal fabrication, laser cutting, etching, injection molding, 3D printing, hydroforming.)
Other Requirements:
Experience creating technical specifications for automated equipment
Experience transitioning products and processes from prototype to production desired
Knowledge of production quality metrics is a plus
Experience in SolidWorks
Preference for candidates with a portfolio showcasing various professional and personal projects
Must be able to lift 50 pounds
Must be prepared to work, in part, in extreme environments: temps > 100 degrees or below freezing, sun, rain, mud, lack of electricity, etc.
Must be able to travel 4+ weeks per year internationally
Responsibilities:
Own and manage identification and resolution of priority product concerns in the Product development process
Drive organization of information and data collection, perform root cause analysis, report on occurrences as well as implementation of short term and long term mitigation steps
Set up and run testing of components and systems for reliability purposes
Technically assess system performance, identify and prioritize hardware vulnerabilities, create paths to improve overall consistency and reliability, and own implementation of system improvements
Complete FMEA studies of hardware products
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Senior Regulatory Affairs Project Manager I
ICON is developing intelligent machines to build humanity's future, focusing on advanced robotics and materials for revolutionizing construction.
Education Requirements:
Graduate degree in Civil Engineering, Structural Engineering, or a related technical discipline
Experience Requirements:
8+ years of relevant professional experience in structural design, testing, research, or construction with demonstrated project management responsibilities
Demonstrated experience managing multiple concurrent complex technical projects, including schedule development, budget management, and stakeholder coordination
Proven ability to work with and manage external consultants, laboratories, and vendors while maintaining quality standards and project deliverables
Strong understanding of structural engineering from first principles, including mechanics of materials, structural analysis, and design fundamentals
Practical experience in the design and testing of concrete and masonry structural systems and materials
Other Requirements:
Hands-on experience with structural testing equipment, including hydraulic cylinders, pumps, actuators, load frames, instrumentation, and data acquisition systems
Advanced problem-solving abilities and analytical thinking skills to assess complex technical challenges and develop effective solutions across multiple disciplines
Strong technical writing and communication skills with demonstrated ability to prepare comprehensive reports and present findings to diverse stakeholder groups
Familiarity with applicable structural testing standards, ACs, and codes, including ASTM, ACI, ASCE, and building code requirements
Field work and overnight travel is required
Professional Engineer (PE) license or eligibility to obtain PE licensure within 6 months of hire
Experience working with government agencies or regulatory bodies in technical approval processes
Understanding of concrete material science, including mix design, curing processes, fresh and hardened properties, and durability characteristics
Field construction experience, particularly with concrete and masonry construction methods, quality control processes, and construction tools
Experience with seismic loading analysis, seismic design code requirements, and seismic testing methodologies
Familiarity with 3D printing technologies, additive manufacturing processes, or advanced construction methods
Responsibilities:
Develop and manage project schedules, cost estimates, and budgets for complex testing campaigns
Direct and oversee comprehensive test plan development and specimen design that meets structural testing objectives and regulatory requirements for ICON's 3D printed systems
Develop and oversee the generation of detailed engineering documentation for print processes such as technical drawings, instructions, and logs, directing team members and consultants as needed
Coordinate with internal ICON departments including Testing, Hardware, and Operations teams to ensure testing is successfully completed while communicating project progress, blockers, and results to key stakeholders
Manage and oversee contracts with third-party laboratories, consultants, and vendors conducting advanced analysis, research, development, or manufacturing for ICON to ensure successful execution of the regulatory program goals and objectives
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Product Test Technician III
ICON is developing intelligent machines to build humanity's future, focusing on advanced robotics and materials for revolutionizing construction.
Education Requirements:
High school diploma or equivalent (Associates in mechatronics, mechanical engineering technology, or relevant field preferred)
Experience Requirements:
3+ years of hands-on experience in mechanical, electrical, or fluid system testing
Strong fabrication, assembly, and troubleshooting skills
Ability to read schematics, wiring diagrams, and technical documentation
Experience with mechanical tools, welding, fasteners, and gear assemblies
Intermediate proficiency with PLC systems (Beckhoff Twincat preferred)
Other Requirements:
Strong collaboration, communication, and mentorship skills
Experience with pumps, AC motors, gears, air compressors, pressure vessels, and lifting equipment
Welding experience (AC Aluminum, DC Steel)
Prior experience in aerospace, military/defense, aircraft, construction, or similar industries
A&P license or technician certification
Ability to lift up to 50 pounds
Ability to work in extreme environments, including high or low temperatures, sun, rain, mud, or areas without electricity
Comfortable with hands-on, field-based work
Strong verbal and written communication skills
Responsibilities:
Lead setup, operation, and troubleshooting of mechanical, fluid, and electro-mechanical test systems
Support development and implementation of ICON’s test infrastructure, including test stands, fluid systems, and processes
Fabricate and integrate test articles and equipment: fluid panels, actuators, motors, gears, electrical cabinets, PLCs, and welded assemblies
Collaborate with engineering to develop system upgrades, maintain documentation, and analyze test data with actionable recommendations
Mentor and guide junior Product Test Technicians
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Senior Product Test Technician
ICON is developing intelligent machines to build humanity's future, focusing on advanced robotics and materials for revolutionizing construction.
Education Requirements:
High school diploma or equivalent required; Associate’s degree in mechatronics, mechanical engineering technology, or a relevant technical field preferred
Experience Requirements:
5+ years of hands-on technical experience in a relevant field (mechanical/electrical technician, mechanic, electrician, aerospace, construction, military/defense, or similar)
Proven expertise in troubleshooting complex mechanical, electrical, and fluid systems
Skilled in fabrication techniques including welding (AC aluminum, DC steel), machining, assembly, and operation of standard shop tools (torque wrenches, drills, fasteners, gear chains)
Experience with pumps, AC motors, gears, air compressors, pressure vessels, and lifting equipment
Familiarity with PLC systems and electro-mechanical controls (Beckhoff Twincat experience a plus)
Other Requirements:
Desired: A&P license or technician certification
Strong cross-team communication skills, with ability to mentor peers and junior staff
Ability to lift 50 pounds unassisted
Comfortable working in both lab and field conditions, including extreme environments (heat >100°F, cold/freezing temps, sun, rain, mud, dust, and limited utilities)
Must be safety-conscious, adaptable, and prepared for hands-on, physically demanding work
Strong written and verbal communication skills required
Responsibilities:
Lead operation, optimization, and troubleshooting of ICON’s test infrastructure, including mechanical, electrical, and fluid systems (pumps, valves, compressed air, motors, actuators, etc.)
Fabricate and integrate complex test articles, equipment, and assemblies (fluid panels, welded structures, harnesses, electrical cabinets, PLCs, and circuit breakers)
Support the design and build of test stands and infrastructure; document processes and recommend system-level improvements
Operate Vulcan and Magma 3D printing systems to support product testing and validation
Mentor and coach junior technicians, promoting adherence to safety, SOPs, and quality standards
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Field Engineering Technician Lead
ICON is developing intelligent machines to build humanity's future, focusing on advanced robotics and materials for revolutionizing construction.
Experience Requirements:
3+ years as a Senior Field Engineering Technician or in a comparable technical leadership role
Mastery PLCs, VFDs, hydraulics, and electrical systems
Proven ability to lead, mentor, and manage performance across a technical team
Experience leading field operations in large-scale industrial, manufacturing, or construction environments (preferred)
Familiarity with resource planning, scheduling, and project management tools (preferred)
Other Requirements:
Advanced troubleshooting and repair experience across multiple disciplines (mechanical, electrical, controls, hydraulics) (preferred)
Excellent verbal and written skills with strong documentation practices
Comfortable managing shifting priorities in dynamic, field-based environments
Willingness to travel extensively, work in extreme environments, and be on-call as required
OSHA 10, CPR, and Telehandler (ICON will provide if needed)
Strong process orientation and commitment to operational excellence (preferred)
Ability to lift and carry up to 50 pounds safely and regularly
Comfortable working in various outdoor environments, including extreme temperatures (above 100°F or below freezing), sun, rain, mud, and areas with limited infrastructure (e.g., lack of electricity)
Comfortable standing and moving on your feet for the majority of the workday as well as climbing ladders and carrying material buckets
Responsibilities:
Independently commission, troubleshoot, and maintain ICON 3D printers and related systems at the highest level of proficiency
Resolve complex technical issues, anticipate failures, and implement preventive solutions
Oversee site setup, staffing assignments, and preventive maintenance to ensure operational readiness
Directly supervise, mentor, and coach Field Engineering Technicians (I, II, and Senior) to develop technical expertise and operational excellence
Serve as the primary escalation point for technical and personnel challenges in the field
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Field Engineering Technician III
ICON is developing intelligent machines to build humanity's future, focusing on advanced robotics and materials for revolutionizing construction.
Experience Requirements:
4+ years as a Field Engineering Technician I or equivalent experience in a technical, hands-on role
Ability to read wiring diagrams and terminate cables (e.g., camlock power, EtherCAT)
Strong troubleshooting skills across electrical, mechanical, and control systems
Advanced knowledge of PLCs, VFDs, cabling, and related printer systems (preferred)
Works independently on complex tasks; anticipates issues and mitigates risks
Other Requirements:
Strong communication and documentation skills
Takes ownership of decisions in local operations; can guide and mentor peers when needed
Willingness to travel outside of Miami, FL, including extended stays and on-call, nights, and weekends
Flexible availability to work nights and weekends as needed
Proficiency in English, spoken and written
OSHA 10, CPR, and heavy equipment certifications
Advanced proficiency with PLCs, VFDs, and electrical troubleshooting, including equipment replacement and manual controls (preferred)
Experience in remote device operation and system navigation (preferred)
Proficiency in welding (various types) (preferred)
Experience contributing feedback to refine best practices and improve team workflows (preferred)
Ability to lift and carry up to 50 pounds safely and regularly
Comfortable working in various outdoor environments, including extreme temperatures (above 100°F or below freezing), sun, rain, mud, and areas with limited infrastructure (e.g., lack of electricity)
Comfortable standing and moving on your feet for the majority of the workday as well as climbing ladders and carrying material buckets
Responsibilities:
Commission, troubleshoot, and maintain ICON’s 3D printers and related systems with minimal supervision
Connect and disconnect electrical, pneumatic, and network cabling to facilitate printer mobility
Independently resolve electrical, mechanical, and software issues, leveraging advanced troubleshooting skills
Perform preventive maintenance, inspections, and monitoring of printer performance to reduce downtime
Lead the coordination of complex tasks while ensuring team safety, operational efficiency, and compliance
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Senior Field Engineering Technician
ICON is developing intelligent machines to build humanity's future, focusing on advanced robotics and materials for revolutionizing construction.
Education Requirements:
Associate degree with 4+ years of field technician experience or bachelors degree with 2+ years field technician experience
Experience Requirements:
5+ years of experience working in a Field Technician facing role or an associate degree with 4+ years of field technician experience or bachelors degree with 2+ years field technician experience
Expert proficiency in PLCs, VFDs, hydraulics, and electrical systems
Proven ability to lead operations, manage projects independently, and mentor junior technicians
Experience managing external projects, including generator setup and troubleshooting
Other Requirements:
OSHA 10, CPR, and Telehandler certifications
Strong ability to prioritize, adapt, and perform in dynamic, high-pressure environments
Excellent written and verbal communication skills, with ability to produce clear documentation and reports
Ability to guide teams through daily activities including operations, troubleshooting, and maintenance
Willingness to travel outside of Austin, TX, for multiple weeks at a time
Flexible availability to work nights and weekends as needed
Ability to lift and carry up to 50 pounds safely and regularly
Comfortable working in various outdoor environments, including extreme temperatures (above 100°F or below freezing), sun, rain, mud, and areas with limited infrastructure (e.g., lack of electricity)
Comfortable standing and moving on your feet for the majority of the workday as well as climbing ladders and carrying material buckets
Responsibilities:
Independently resolve complex electrical, hydraulic, mechanical, and software issues with minimal escalation
Lead preventive maintenance, routine inspections, job site setup, and execution of complex repairs or replacements
Expertly work with PLCs, VFDs, hydraulics, and electrical systems to ensure reliable printer performance
Document all work clearly and review junior technicians’ reports to ensure accuracy, compliance, and consistency with ICON standards
Mentor and train junior technicians, review their work for quality, and guide teams through daily field activities
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研发工程师
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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算法系统工程师(多智能体交互方向)
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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算法研究工程师(多智能体方向)
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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研究员(多智能体方向)
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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CV算法研究工程师
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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认知智能算法工程师
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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研究员(智能交互方向)
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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UE研发工程师
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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NLP算法研究工程师
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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算法工程师(数据方向)
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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机器人全栈研究工程师
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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算法工程师 (深度学习/多模态/具身智能)
BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.
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.
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