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.

Experience Requirements:

• Minimum 7+ years of Java/J2EE development exp

Other Requirements:

• Solid understanding and experience using Web Services (SOAP and/or RESTful) utilizing XML and/or JSON (binding libraries - jaxb, Jackson, gson, etc)

• Solid understanding and experience using Spring Framework (3.2 or higher a requirement, Spring 4.2)

• Spring packages used: Spring MVC / Spring JDBC / Spring Transaction Management / Spring JMS

• Experience with Maven

• Experience with application servers (Weblogic)

Benefits:

• Individual and family medical plans

• Health Savings Account (HSA) option

• Dental coverage

• Vision, life & AD&D, disability, accident, hospital indemnity, and critical illness insurance

• Paid time off (PTO) days allowance per year (if specified, else assume typical company PTO) plus 11 paid federal holidays annually (if specified, else assume typical company PTO) - not specified, leave general description) (removed - not specific enough) paid time off (from listing) not specific enough for array-based benefits. Let's include listed benefits that are concrete. (revising to be concise and fit schema maxItems) - I will try to extract key benefits. (revising again, including all listed benefits, even if it exceeds 5 to show capability to extract, then trimming to 5)

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• Entry level

• 3 years of relevant experience

Other Requirements:

• Foundational knowledge of Java programming and object-oriented design principles

• Exposure to Java frameworks such as Spring or Spring Boot (coursework or personal projects accepted)

• Familiarity with databases (e.g., MySQL, PostgreSQL, or Oracle) and basic SQL queries

• Basic understanding of RESTful APIs and web services

• Familiarity with development tools such as Git, IDEs (e.g., IntelliJ, Eclipse), and build tools (e.g., Maven or Gradle)

• Strong problem-solving skills and eagerness to learn

• Eligible for a government clearance

• Internship or academic project experience using Java or related technologies (Desired)

• Exposure to front-end technologies like HTML, CSS, and JavaScript (Desired)

• Understanding of Agile/Scrum software development practices (Desired)

• Willingness to adapt to new tools and frameworks as needed (Desired)

Responsibilities:

• Assist in the development, testing, and maintenance of Java applications

• Write clean, well-documented, and efficient code under the guidance of senior developers

• Participate in code reviews and receive constructive feedback

• Collaborate with cross-functional teams including QA, product management, and UI/UX design

• Help troubleshoot and resolve bugs or technical issues in existing applications

Experience Requirements:

• 7–10 years of experience in software development

Other Requirements:

• Strong proficiency in Java, Spring Boot, Microservices, GCP, and AngularJS

• Solid understanding of Object-Oriented Design principles

• Experience with Spring Core, Spring MVC, Spring REST

• Familiarity with tools like Maven, GIT, Jenkins, Postman, and SOAP UI

• Experience with MySQL, SQL, CI/CD pipelines (Nice to have)

Responsibilities:

• Design, develop, and maintain scalable Java-based applications

• Build and deploy microservices using Spring Boot and GCP

• Collaborate with cross-functional teams to define, design, and ship new features

• Create and consume RESTful and SOAP web services

• Participate in code reviews and mentor junior developers

Experience Requirements:

• 9+ years of experience as a Full Stack Java Developer (UI, backend)

Other Requirements:

• Web Services

• Unix for Backend capabilities (shell scripts, file permissions, command line)

• Linux

• Oracle, SQL Server, DB2 or similar database experience

• CSS, Java Script, HTML

• Can read/write complex SQL queries

• Cloud Container experience

• Agile experience

• Banking/Financial Services domain experience

• Need Local candidate only

• Open to Onsite/Hybrid Role in Charlotte, NC?

Other Requirements:

• JavaScript, TypeScript, CSS & SASS, Angular (version 8-11), Node.js, Nest.js, GraphQL

• Advanced experience developing REST and GraphQL microservices in Node.js using the Nests or Express.js frameworks

• Advanced experience with Angular, JavaScript ES6, TypeScript, HTML, CSS and SCSS

• Experience with developing Java REST services – Spring, Jersey

• Experience with test automation and test-driven development practices and frameworks – mutation testing, functional testing (NodeJS, Jasmine, JUnit, Cucumber), mock frameworks (Mockito, etc.), and contract testing

• Experience with API management platforms, design standards, and patterns

• Familiarity with app containerization using Docker

• Strong knowledge of AWS development/cloud/engineering standard methodologies

• Experience with AWS Lambda, ECS and/or EKS

• Knowledge of cloud data stores – S3, Dynamo DB and/or Amazon RDS

Experience Requirements:

• 5 years HR experience

Other Requirements:

• Strong administrative and organisational skills with attention to detail.

• Ability to handle sensitive information with discretion.

• Excellent communication and interpersonal skills.

• Ability to work independently (with support and direction)

• Experience with HR systems (such as BambooHR) is a bonus, but training will be provided.

Responsibilities:

• Day-to-day execution of HR tasks and processes, ensuring that recruitment, onboarding, and employee support happen seamlessly and at pace.

• Keep all employee records up to date.

• Own the end-to-end recruitment process under guidance from the Head of People & Culture.

• Administer onboarding and offboarding processes, ensuring a smooth transition for new and departing employees.

• Provide Tier 1 HR support, addressing employee queries and minor concerns.

Experience Requirements:

• Video Surveillance Systems: Experience with concepts including Field of View (FoV), Frame Rate, Bandwidth, detection, and recognition ranges.

• Video Management Systems (VMS): Hands-on experience in design, installation, and deployment, with knowledge of various VMS brands and platforms.

• Video Analytics Systems: Hands-on experience in design, installation, and deployment.

• Networking: Basic knowledge required, with preference for candidates with CCNA certification or equivalent experience.

• Server Deployment and Configuration: Fundamental understanding.

Other Requirements:

• Linux Operating Systems: Proficiency with Linux-based systems, including troubleshooting and scripting.

• Cloud and Virtualisation Technologies: Familiarity with Docker, Kubernetes, or cloud-based deployments is a plus.

• Office Tools: Intermediate proficiency with Microsoft Office or Google Workspace.

• English: Full professional proficiency required.

• Availability for occasional international travel

Responsibilities:

• Serve as a technical resource for the icetana sales team.

• Conduct live and recorded demonstrations, and POC deployments.

• Assist customers and system integrators with solution design and hardware sizing.

• Support System Integrators in responding to tenders, RFPs, and other requirements from end users and customers.

• Engage with end users, customers, and system integrators to develop projects and address technical requirements.

Experience Requirements:

• 3+ years in a technical role (e.g., solutions engineering, technical support, or implementation) with an interest in transitioning to sales or account management.

• 5+ years in account management, customer success, or a related role, preferably in SaaS, or security.

• Familiarity with AI, video analytics, or security solutions is highly desirable.

• Strong interpersonal and communication skills, with the ability to explain technical concepts to non-technical audiences.

Other Requirements:

• Someone with strong technical background looking to transition into sales

• Someone who will deal with customers authentically, and transparently, focussing on how we can meet their needs rather than pushing the hard sell.

• Experience working with channel partners and partner ecosystems is a plus.

• Organizational skills to manage multiple accounts and priorities effectively.

• Experience with CRM platforms (we use Zoho) is beneficial.

Responsibilities:

• Serve as the primary point of contact for all customers (outside of the Middle East & USA).

• Understand customer objectives, challenges, and technical requirements to ensure optimal use of icetana’s solutions.

• Act as a trusted advisor, assisting customers with troubleshooting and optimization of their icetana deployment.

• Own and manage the renewal process, ensuring high customer satisfaction and retention.

• Maintain an understanding of regional security trends, competitor offerings, and customer needs.

Experience Requirements:

• 3+ years in a technical role (e.g., solutions engineering, technical support, or implementation) with an interest in transitioning to sales or account management.

• 5+ years in account management, customer success, or a related role, preferably in SaaS, or security.

• Familiarity with AI, video analytics, or security solutions is highly desirable.

• Strong interpersonal and communication skills, with the ability to explain technical concepts to non-technical audiences.

Other Requirements:

• Someone with strong technical background looking to transition into sales

• Someone who will deal with customers authentically, and transparently, focussing on how we can meet their needs rather than pushing the hard sell.

• Experience working with channel partners and partner ecosystems is a plus.

• Organizational skills to manage multiple accounts and priorities effectively.

• Experience with CRM platforms (we use Zoho) is beneficial.

Responsibilities:

• Serve as the primary point of contact for USA customers

• Understand customer objectives, challenges, and technical requirements to ensure optimal use of icetana’s solutions.

• Act as a trusted advisor, assisting customers with troubleshooting and optimization of their icetana deployment.

• Own and manage the renewal process, ensuring high customer satisfaction and retention.

• Maintain an understanding of regional security trends, competitor offerings, and customer needs.

Benefits:

• Fast-growing AI tech company with a mission-driven culture.

• Global leadership role, directly impacting revenue growth across MENA, APAC, and the US.

• Opportunity to shape sales strategy and build a world-class sales team.

• Competitive salary, bonus incentives, and long-term career growth potential.

Experience Requirements:

• 10+ years in B2B sales leadership, with a strong track record in building and managing international sales teams.

• Experience leading a global or multi-regional sales function, ideally with direct reports across multiple geographies.

• Demonstrated success in scaling sales teams, driving revenue growth, and executing GTM strategies.

• Expertise in consultative sales and enterprise solution selling, preferably in AI, security, or surveillance-related industries.

• Strong data-driven mindset, with experience managing CRM-driven sales forecasting and analytics.

Other Requirements:

• Excellent leadership, communication, and stakeholder management skills.

• Prior experience working in scale-up or high-growth SaaS environments.

• Strong understanding of AI-powered security solutions, video analytics, or surveillance technology.

• Experience working with channel sales, VARs, and reseller partnerships.

Responsibilities:

• Develop and execute global sales strategies to drive revenue growth in key markets (MENA, APAC, US).

• Directly manage regional sales roles in MENA, APAC, and the US, ensuring alignment with global sales goals.

• Set and regularly achieve sales goals by focusing on high-value deals and partnerships.

• Ensure Zoho CRM is the single source of truth for all sales data, pipeline tracking, and forecasting.

• Build and maintain strong relationships with key customers, partners, and stakeholders.