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

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

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

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

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

Education Requirements:

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing or related fields.

Experience Requirements:

• In-depth research experience in human-machine value alignment, long-text modeling, efficient language models, explainable language models, language model inference, RAG knowledge integration, capable of independently conducting research projects.

• Knowledge of Natural Language Processing and Machine Learning fundamentals, deep understanding of Machine Learning and Deep Learning algorithms, especially their application in Natural Language Processing.

• Published high-quality academic papers in top international conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) or journals.

• Bonus: unique understanding, models, or systematic work in related Natural Language Processing subfields.

• Bonus: led large Natural Language Processing related projects, including large language model training and data cleaning, complex human-computer interaction systems.

Other Requirements:

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

• Strong curiosity and innovative spirit, able to continuously explore new research directions and technological applications.

Responsibilities:

• Conduct cutting-edge research and technology development in natural language frontier areas such as value alignment, efficient language modeling, explainable large models, long-text understanding and reasoning, lead, collaborate and execute to advance frontier research in Natural Language Processing.

• Write high-quality academic papers, actively participate in submissions and publications to top international conferences and journals, enhance the lab's academic influence.

• Collaborate closely with product, engineering, and data teams to apply research results to actual products, promoting technology implementation.

• Participate in academic conferences, seminars, and internal technical sharing sessions, continuously track industry trends, and promote the team's technical level.

Education Requirements:

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

Experience Requirements:

• Experience in system or platform development using C/C++/Golang.

• Experience in Linux environment development and deployment.

• Experience in big data parallel processing and distributed computing.

• Bonus: familiar with mainstream cloud computing platforms. Bonus: familiar with real-time stream processing systems. Bonus: familiar with network communication and socket programming. Bonus: familiar with building and maintaining high-reliability services. Bonus: familiar with basic AI and ML concepts.

Responsibilities:

• Establish general Artificial Intelligence operating systems and related data and service platforms, tasks include: cognitive Artificial Intelligence system architecture and communication protocols, microservice encapsulation and deployment, cloud-edge collaboration, real-time interactive information processing and task planning, offline data mining and machine learning.

Education Requirements:

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

Experience Requirements:

• At least some accumulation in one NLP area.

• Basic Natural Language Processing knowledge and Machine Learning fundamentals, understanding of common language models like transformer, seq2seq, proficient in PyTorch, Transformers and other deep learning frameworks.

• Proficient in vllm, peft, trl and other language model frameworks preferred.

• Practical experience in pre-trained language models, large language model fine-tuning, multimodal language model training preferred.

• Experience in AI related app development, participated in AI/ML related GitHub projects with 100+ stars preferred. Published papers in AI journals/conferences like ACL, EMNLP, NAACL, CoLM, ICLR, ICML, NeurIPS preferred.

Other Requirements:

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

Responsibilities:

• Track latest Natural Language Processing research progress, conduct algorithm reproduction, migration and debugging for typical tasks such as multimodal modeling, human-computer interaction, natural language inference.

• Collaborate with team members on academic research and frontier exploration in Natural Language Processing.

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

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.