{"id":3452490,"url":"https://alion.io/job/hkpc-assistant-engineer-embodied-ai","title":"Assistant Engineer, Embodied AI","company":{"id":1856193,"name":"Hkpc","domain":"hkpc.org","url":"https://alion.io/company/hkpc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Autonomous Navigation","optional":false},{"name":"Computer 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Fusion","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"VLM","optional":false},{"name":"World Models","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-10-29T11:47:54Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-02T10:49:26Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Assistant Engineer, Embodied AI\nRobotics and Artificial Intelligence Division\nRef: RAD/11124\nJob Description\nWho we are looking for:\nCreativity in new ideas and future focus vision. \nCollaboration with colleagues and the community at large.\nWork Smart, Play Smart!\nWhat you'll do:\nResearch, develop, and deploy next-generation Embodied AI systems that integrate perception, reasoning, planning, and action in real-world environments.\nDesign and implement AI models leveraging Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, multimodal foundation models, and agentic AI frameworks for intelligent robotic applications.\nDevelop perception, scene understanding, task planning, and decision-making capabilities using multimodal data, including vision, language, audio, spatial information, force sensing, and other robotic sensor inputs.\nBuild intelligent robotic solutions for humanoid robots, mobile manipulators, autonomous mobile robots (AMRs), and autonomous inspection or service robots.\nDevelop robot learning pipelines using imitation learning, reinforcement learning, behavior cloning, world models, and simulation-to-real transfer techniques.\nDesign and implement intelligent agents capable of task reasoning, workflow orchestration, tool use, and autonomous execution in physical environments.\nDevelop and optimize AI-driven manipulation, navigation, interaction, and autonomous operation capabilities.\nBuild robotic data pipelines, model evaluation frameworks, benchmarking tools, and continuous improvement workflows for Embodied AI systems.\nDeploy, test, and optimize AI models on physical robots and edge computing platforms.\nParticipate in technical research, proof-of-concept development, pilot projects, and commercialization initiatives.\nCollaborate with cross-functional teams, industry partners, universities, and research institutions to deliver innovative AI and robotics solutions.\nContribute to technical publications, intellectual property development, funding proposals, and strategic technology initiatives.\nYou'll be a good fit if you have/are:\nBachelor's Degree, Master's Degree, or PhD in Computer Science, Artificial Intelligence, Robotics, Electronic Engineering, Data Science, Mechanical Engineering, or related disciplines.\nStrong programming skills in Python.\nSolid understanding of machine learning, deep learning, and modern AI architectures.\nHands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent AI frameworks.\nExperience in developing and deploying AI models in practical applications.\nStrong understanding of Large Language Models (LLMs), Multimodal AI, Agentic AI, and Foundation Models.\nFamiliarity with AI system integration, model evaluation, optimization, and deployment.\nExperience with Linux, Docker, Git, and software development best practices.\nPassionate about AI, robotics, and emerging technologies.\nStrong analytical thinking and problem-solving capabilities.\nAbility to bridge research and real-world deployment.\nStrong communication and teamwork skills.\nSelf-motivated with a continuous learning mindset.\nExperience working in multidisciplinary and fast-paced innovation environments.\nCandidates with experience in one or more of the following areas are highly preferred:Embodied AI\nPhysical AI\nVision-Language-Action (VLA)\nVision-Language Models (VLM)\nLarge Language Models (LLM)\nAI Agents / Agentic AI\nHumanoid Robotics\nMobile Manipulation\nReinforcement Learning (RL)\nImitation Learning\nWorld Models\nRobot Foundation Models\nComputer Vision\nSensor Fusion\nRobotic Manipulation\nAutonomous Navigation\nROS / ROS 2\nNVIDIA Isaac Sim / Isaac Lab\nGazebo, MuJoCo, Habitat, ManiSkill or similar simulation platforms\n• Edge AI and real-time inference systems\n\nNote:\n1. Applicant may be considered for other positions if not matching the requirements of the subject position.\n2. This is a fixed-term contract position for a period of 24 months subject to renewal.\nWhat we offer and What you’ll like here:\nExciting new technology development (e.g. IoT, 5G, LoRA, AI etc.) to actualize your creative ideas\nOpportunities to work with our innovative and vibrant talents\nEmbracing work flexibility (including Flexi-work hour)\nDynamic and energetic culture with smart outfits and sport shoes\nAcademic training scholarship to take your career up a notch \nDental benefit\nMedical benefits from Day-1 with extended coverage to dependent(s)\nApply now if you’re ready to take the challenge! Do not miss this opportunity to join us to Create Value and “MAKE SMART SMARTER”!\nHKPC will take into consideration both the quantitative and qualitative requirements of the post when selecting the suitable candidates. A competitive salary package commensurate with academic qualifications and experience will be offered. The successful candidate will be employed on a fixed-term contract basis, which is renewable subject to appointee’s performance and the Council’s development needs.\nApplicants are welcome to submit application at the HKPC e-Recruitment System (careers.hkpc.org) in 1 week from the posting date. Recruitment will continue until the position is filled.\nApplicants not invited for interviews within 6 weeks may consider their applications unsuccessful. All information provided by applicants will be treated with strict confidence and used solely for recruitment purposes. The personal data of unsuccessful applicants will be retained for 12 months from the date the recruitment process is completed.\nAssistant Engineer, Embodied AI\nRobotics and Artificial Intelligence Division\nRef: RAD/11124\nJob Description\nWho we are looking for:\nCreativity in new ideas and future focus vision. \nCollaboration with colleagues and the community at large.\nWork Smart, Play Smart!\nWhat you'll do:\nResearch, develop, and deploy next-generation Embodied AI systems that integrate perception, reasoning, planning, and action in real-world environments.\nDesign and implement AI models leveraging Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, multimodal foundation models, and agentic AI frameworks for intelligent robotic applications.\nDevelop perception, scene understanding, task planning, and decision-making capabilities using multimodal data, including vision, language, audio, spatial information, force sensing, and other robotic sensor inputs.\nBuild intelligent robotic solutions for humanoid robots, mobile manipulators, autonomous mobile robots (AMRs), and autonomous inspection or service robots.\nDevelop robot learning pipelines using imitation learning, reinforcement learning, behavior cloning, world models, and simulation-to-real transfer techniques.\nDesign and implement intelligent agents capable of task reasoning, workflow orchestration, tool use, and autonomous execution in physical environments.\nDevelop and optimize AI-driven manipulation, navigation, interaction, and autonomous operation capabilities.\nBuild robotic data pipelines, model evaluation frameworks, benchmarking tools, and continuous improvement workflows for Embodied AI systems.\nDeploy, test, and optimize AI models on physical robots and edge computing platforms.\nParticipate in technical research, proof-of-concept development, pilot projects, and commercialization initiatives.\nCollaborate with cross-functional teams, industry partners, universities, and research institutions to deliver innovative AI and robotics solutions.\nContribute to technical publications, intellectual property development, funding proposals, and strategic technology initiatives.\nYou'll be a good fit if you have/are:\nBachelor's Degree, Master's Degree, or PhD in Computer Science, Artificial Intelligence, Robotics, Electronic Engineering, Data Science, Mechanical Engineering, or related disciplines.\nStrong programming skills in Python.\nSolid understanding of machine learning, deep learning, and modern AI architectures.\nHands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent AI frameworks.\nExperience in developing and deploying AI models in practical applications.\nStrong understanding of Large Language Models (LLMs), Multimodal AI, Agentic AI, and Foundation Models.\nFamiliarity with AI system integration, model evaluation, optimization, and deployment.\nExperience with Linux, Docker, Git, and software development best practices.\nPassionate about AI, robotics, and emerging technologies.\nStrong analytical thinking and problem-solving capabilities.\nAbility to bridge research and real-world deployment.\nStrong communication and teamwork skills.\nSelf-motivated with a continuous learning mindset.\nExperience working in multidisciplinary and fast-paced innovation environments.\nCandidates with experience in one or more of the following areas are highly preferred:Embodied AI\nPhysical AI\nVision-Language-Action (VLA)\nVision-Language Models (VLM)\nLarge Language Models (LLM)\nAI Agents / Agentic AI\nHumanoid Robotics\nMobile Manipulation\nReinforcement Learning (RL)\nImitation Learning\nWorld Models\nRobot Foundation Models\nComputer Vision\nSensor Fusion\nRobotic Manipulation\nAutonomous Navigation\nROS / ROS 2\nNVIDIA Isaac Sim / Isaac Lab\nGazebo, MuJoCo, Habitat, ManiSkill or similar simulation platforms\n• Edge AI and real-time inference systems\n\nNote:\n1. Applicant may be considered for other positions if not matching the requirements of the subject position.\n2. This is a fixed-term contract position for a period of 24 months subject to renewal.\nWhat we offer and What you’ll like here:\nExciting new technology development (e.g. IoT, 5G, LoRA, AI etc.) to actualize your creative ideas\nOpportunities to work with our innovative and vibrant talents\nEmbracing work flexibility (including Flexi-work hour)\nDynamic and energetic culture with smart outfits and sport shoes\nAcademic training scholarship to take your career up a notch \nDental benefit\nMedical benefits from Day-1 with extended coverage to dependent(s)\nApply now if you’re ready to take the challenge! Do not miss this opportunity to join us to Create Value and “MAKE SMART SMARTER”!\nHKPC will take into consideration both the quantitative and qualitative requirements of the post when selecting the suitable candidates. A competitive salary package commensurate with academic qualifications and experience will be offered. The successful candidate will be employed on a fixed-term contract basis, which is renewable subject to appointee’s performance and the Council’s development needs.\nApplicants are welcome to submit application at the HKPC e-Recruitment System (careers.hkpc.org) in 1 week from the posting date. Recruitment will continue until the position is filled.\nApplicants not invited for interviews within 6 weeks may consider their applications unsuccessful. All information provided by applicants will be treated with strict confidence and used solely for recruitment purposes. 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