Job Responsibilities:Work with client executives, customer technical leads, and partners to manage and deliver cloud solutions, becoming a trusted advisor to decision makers throughout the engagement.Make recommendations on cloud transformation strategies, enterprise architectures, platforms, and application infrastructure required to help customer gain business benefit from cloud adoptionManage the enterprise architecture relationship with customers by collaborating customer CIO, CTO and enterprise architects.Partner with Solution Architecture team and Service Delivery team to design complex solutions for customers that drive Huawei Cloud adoption and revenue.Develop compelling cloud transformation proposals for key customers and partners, working with the business development team, solution sales team and service delivery team to determine project goals, define completion criteria, build resource breakdowns, and determine project milestones.
Qualifications & Skill Requirements:At least 8 years of relevant working experience in cloud.Graduated in degree in computer science, system engineering or equivalent.Excellent oral and written communication skills with a keen sense of customer serviceExcellent problem-solving and troubleshooting skillsProcess-oriented with great documentation skillsExperience as a Technical Project Lead or Lead Consultant (e.g., Management or IT Strategy) delivering cloud migration and transformation projects in customer-facing roles.Experience presenting and communicating with Chief Experience Officers in public administration organizations.Knowledge of app and/or infrastructure migration and modernization (e.g., assess, plan, execute, optimize, operate), IT Infrastructure, IT operations, or business applications.Knowledge of app and/or infrastructure migration and modernization (e.g., assess, plan, execute, optimize, operate), IT Infrastructure, IT operations, or business applications.Experience with Enterprise IT and Cloud Technologies/Services.
Key Responsibilities1. R&D & General Corporate AffairsStrategic Advisory: Act as the lead legal counsel for R&D activities, providing end-to-end support for technology collaborations, complex procurement, and labor relations.Operational Excellence: Draft, review, and negotiate high-stakes commercial contracts and ensure legal robustness in regional business expansion.Dispute Management: Oversee and resolve corporate disputes to minimize institutional risk.2. Intellectual Property (IP) LeadershipCapability Building: Drive the development of professional IP capabilities across Southeast Asia, including IP operations and strategic cooperation.IP Enforcement: Lead regional IP mediation, arbitration, and litigation ("IP Business") to protect and leverage the company's innovation portfolio.3. Environmental Insight & Policy AnalysisRegulatory Intelligence: Monitor and analyze evolving legislation and policy shifts across major Southeast Asian markets.Strategic Reporting: Provide high-impact insights on emerging fields, including AI Governance, Export Controls, Labor Law, and IP protection, ensuring business continuity in a volatile regulatory climate.
Required QualificationsEducation: Master’s Degree in Law (LL.M or J.D.) with a specialized focus on Intellectual Property or Corporate Law.Language Proficiency: Professional fluency in English and Chinese (both written and oral) is mandatory, as the role requires seamless communication with global headquarters and regional stakeholders.Legal Expertise: * Deep understanding of Singapore Labor Law and regional legal frameworks.Preferred SkillsExperience in a multinational technology firm or a top-tier law firm.
On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as HRBP. Key Responsibilities:Reports to HRD, manages learning programmes including New hire orientation, general management, leadership development, Professional Conversion Programme, Earn & Learn. Partner the business leaders and HR Business Partners to identify business needs and leverage on the learning & talent development programs, frameworks and best practices to help individuals and teams excelResponsible for HR projects and HR operation including payroll, performance evaluation, promotion, talent mapping and pipeline.Design, develop and implement leadership development road map and programs to build the effectiveness and capability of people managersLead and implement the career development strategy and framework for the organisationServe as consultant for performance management activities including the smooth planning and execution of talent mapping, goal setting and individual development planning.Responsible for HR dashboard, reports preparation, provide analysis as well as the market insights to the leadership team.
Requirements:At least 5 years of experience in people development function, talent management and/or strategic HR business partneringExperience in designing and leading onsite and online L&D initiativesExperience with owning business outcomes for L&D initiativesExperience with talent partnering, talent management methodology, tools and technologyProven ability to get things done in a highly matrixed and relationship-based organizationPro-active, quality conscious, attentive to details and results-oriented.Able to work independently and collaborate across teams to deliver results under tight timelinesHighly proficient in Microsoft Office and Excel spreadsheetable to work under pressure and multitasking
On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Senior Algorithm Engineer (Large Vision-Language Generation Model)
Job Responsibilities:Conduct cutting-edge algorithm research and system development for world models targeting autonomous driving and embodied intelligence, with a focus on end-to-end closed-loop simulation. Responsibilities include, but are not limited to: requirement analysis of algorithmic subsystems, conceptual modelling, data collection and construction, model design, training, and validation, as well as identifying and resolving critical algorithmic and system-level challenges;Design, build, and optimize closed-loop simulation systems, enabling multi-module collaboration across simulation, rendering, and planning/control, and improving the simulation environment in terms of temporal consistency, multi-view consistency, physical plausibility, interaction controllability, and long-horizon sequence generation;Leverage technologies related to video generation and 4D reconstruction/generation to study world model methods with capabilities such as generation, rollout, and counterfactual reasoning, supporting large-scale simulation for training and evaluation in autonomous driving and embodied intelligence tasks;Continuously track and incorporate the latest advances from academia and industry in areas including world models, generative simulation, reinforcement learning, planning and decision-making, and apply them to optimize existing simulation and algorithm pipelines;Ensure the stable delivery of algorithmic capabilities into simulation platforms, training systems, or productized solutions, while exploring new application scenarios and deployment opportunities based on emerging technology trends.
Job Requirements:Master’s degree or above in Computer Science, Artificial Intelligence, Robotics, or related engineering fields (PhD preferred);1–5 years of research or development experience in relevant areas, including but not limited to: generative AI (image, video, 3D/4D), 3D/4D reconstruction, multimodal large language models, reinforcement learning, and embodied intelligence. First-author publications in top-tier conferences or journals are a strong plus, such as CVPR, ICCV, ECCV, SIGGRAPH, ICLR, NeurIPS, CoRL, RSS, etc.;Proficiency in at least one mainstream deep learning framework (e.g., PyTorch or TensorFlow), with solid algorithm implementation and experimental skills; familiarity with generative models such as Diffusion, VAE, and Autoregressive Models;Experience in large-scale autonomous driving data processing and analysis is a plus; familiarity with the construction and usage of multi-modal sensor data (e.g., cameras, LiDAR, trajectories, and behaviour logs) is preferred. Experience with autonomous driving or embodied intelligence simulation platforms is also a plus (e.g., CARLA, Isaac Sim, MuJoCo, Unity, UE, etc.);Strong ability for independent thinking and research-driven development, with a collaborative mindset and willingness to work closely with cross-functional teams.
On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Financial Management Specialist.
Responsibilities and Duties:(1)Strategic Financial Planning & Analysis:Interpret and decompose the parent organization's strategic plans into actionable financial goals for the Research Institute.Analyze and interpret the Institute's expense policies and contribute to the development of robust expense management mechanisms.Conduct budgeting, forecasting, and business analysis to proactively identify operational risks and opportunities.Drive the establishment of a low-cost, high-efficiency operational platform.(2)Business & Resource Management:Monitor industry trends and conduct specialized analyses (e.g., regional budgeting, operational management, investment layout).Assist the Director of the Research Institute in overall operational management to ensure the rational allocation and utilization of regional R&D resources.(3)Compliance & Risk Management:Maintain a strong understanding of local accounting policies and develop/adapt compliant financial solutions.Support the implementation of financial reporting, internal controls, and financial risk management frameworks within the Institute.Work to mitigate financial risks and enhance the quality of financial reporting.(4)Market Intelligence & Investment Support:Collect, process, and analyze external (macroeconomic, industry) and internal data and insights.Provide foundational support for market insight and investment analysis activities.
Qualifications:(1)Education: Bachelor's degree or higher in Accounting, Finance, Taxation, Economics, Mathematics, Statistics, or a related field.(2)Language Skills: Full professional proficiency in both English and Mandarin (written and spoken), with the ability to operate effectively in cross-cultural and multinational work scenarios.(3)Knowledge & Expertise:Solid understanding of relevant industry and product business knowledge.Foundational knowledge of risk management principles and methodologies.Familiarity with subsidiary management and taxation is a plus.(4)Personal Attributes:Ambitious, resilient, pragmatic, and willing to take on challenges.Demonstrates a commitment to a long-term, stable career within the finance field.(5)Technical Skills: Proficiency in MS Office Suite (especially advanced Excel and PowerPoint) and other digital tools.
On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Architectural Computing Algorithm Engineer
Responsibilities:Focus on the training and inference optimization of foundation models (LLM/VLM), low-bit quantization techniques, operator fusion and kernel-level optimization, as well as the research and development of the next generation of Spatial Foundation Models.
LLM/VLM Acceleration and Optimization: Focus on efficient training and inference acceleration of LLM/VLM models, including but not limited to mixed-precision training, KV cache management, and the deployment of low-bit quantization techniques;Continuously track the evolution of basic model operators (such as flash-attention) and emerging algorithmic architectures and computational paradigms.Spatial Foundation Model Algorithm R&D: Participate in the development of spatial foundation models, focusing on 3D scene generation and reconstruction, 3D representation learning, semantic understanding, including but not limited to 3D VAE, 3D Points Cloud Processing, NeRF/3DGS representation, and Scene Graph approaches, as well as generative model techniques such as Diffusion and Autoregressive models;Deploy in applications such as autonomous driving and embodied AI. Conduct research on 3D/4D tokenizer for 3D/4D spatial understanding. Design and develop architectures for VLM and VLA foundation models to support spatial understanding, planning, decision-making, and interaction.Promote the development and application of next-generation AI systems.Operator Fusion and Low-Level Kernel Optimization:Focus on operator fusion and kernel-level optimization of core components in foundation models;Conduct prototyping and optimization of custom kernels targeting diverse hardware platforms such as GPU and NPU, enabling efficient deployment
Qualifications:PhD in Computer Science, Mathematics, or related fields; At least 2 years of software development experience with the knowledge of common data structures and techniques, heterogeneous computing and computer architecture.Understanding of the basic principles of artificial neural networks, with a background in traditional machine learning. Familiarity with cutting-edge AI algorithms, including but not limited to NLP/LLM/AIGC-related tasks and algorithms.Understand and have practical experience with VLM and VLA models or 3D models. Be familiar with mainstream 3D representations and modeling methods such as 3D Gaussian Splatting (3DGS), NeRF, Signed Distance Fields (SDF), and implicit mesh representations. Have knowledge of BEV perception and spatial modeling in autonomous driving, as well as world models and simulation-driven approaches.Strong research and analysis skills in algorithms, capable of analyzing and replicating leading conference papers.More than 1 year of experience in software development or design, familiar with software processes, engineering methodologies, and tools.Proficient in programming languages like Python/C/C++, familiar with various AI frameworks such as PyTorch, TensorFlow, MindSpore, and experienced in using deep learning frameworks for LLM/NLP/AIGC-related content generation and optimization.Strong research and analysis skills in algorithms, capable of analyzing and replicating top conference publications, especially in the LLM/NLP/AIGC domain.Ability to independently complete the design, development, and self-testing of algorithm modules, meeting company reliability requirements, especially in ensuring the reliability of generated content quality.Experience in technical cooperation project management is preferred.
On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Speech and Audio Research Engineer
Key Responsibilities:Be independent in research of advanced speech and audio algorithms and the development or implementation of such algorithms for embedded systems.Experience or knowledge of acoustic tests measurements for data acquisition and be familiar with state-of-the-art testing equipment.Experience of conducting objective/subjective evaluation of various audio algorithms on speech enhancement, active noise control, binaural rendering.Extensive experience in signal processing, acoustic modelling, adaptive filtering, noise suppression, active noise cancellation, hearing through etc.Ability handling C, Python, and script codes for system modelling, simulation and system implementation.
Qualifications:PhD with relevant experience (fresh PhD graduates are welcome).Extensive knowledge in at least one of the areas including: signal processing applied to audio, active noise control, speech enhancement, adaptive filtering and microphone array signal processing.Solid mathematical background.Working knowledge of C/C++ and/or Matlab/Python scripting as well as DSP algorithm optimizationsHighly Desired:Expertise in AI applied to audio, with hands-on experience in at least one deep learning framework in PythonHands on experience in DSP code optimization and deployment for embedded audio systemsKnowledge and expertise of earphone active noise cancellation/hear through algorithm design and tuning, measurements and etc.Top-ranking and/or award receivers in world competition in speech/audio signal processing field
On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Senior Audio Algorithm Expert.
Role Overview We are seeking a Senior Audio Algorithm Expert to lead the design and development of low-power, low-latency, real-time audio algorithms for edge-side and embedded platforms. This role focuses on smart terminals such as TWS earphones, laptops, and IoT devices, bridging advanced audio algorithms with constrained hardware systems at scale.
Core Responsibilities1. Edge-Side Audio Algorithm ArchitectureLead the architecture design and implementation of low-power, low-latency audio algorithms for embedded and edge devices.Take technical ownership in one or more of the following domains:Speech Enhancement: noise suppression, echo cancellation, multi-microphone array processingWearable Audio Systems: Active Noise Control (ANC), transparency mode, hearing enhancement, motion-aware audio featuresIntelligent Voice Interaction: ASR front-end processing, TTS enhancement, voice separation, speaker recognitionSpatial Audio: spatial rendering, voice enhancement, immersive audio processingMicro-Acoustic Modeling: nonlinear compensation for miniature speakers and microphones2. Embedded Optimization & DeploymentDeploy and optimize audio algorithms on resource-constrained platforms (DSP / NPU / ARM Cortex-M).Design collaborative architectures across algorithms, hardware, and firmware, optimizing power consumption, latency, and memory usage in real-time systems (RTOS / embedded Linux).Lead edge-side AI model optimization, including quantization, compression, and acceleration (e.g., INT8 / FP16, pruning), ensuring production-level performance and stability.3. Cross-Functional & System-Level CollaborationWork closely with hardware and acoustic teams on system design, including MEMS microphone selection, acoustic tuning, and speaker system optimization.Collaborate with platform and connectivity teams to optimize audio performance over Bluetooth LE Audio and Wi-Fi in end-to-end products.Provide technical guidance and mentorship to senior and junior engineers within the audio algorithm team.4. Technical Leadership & InnovationTrack and evaluate state-of-the-art audio research (e.g., ICASSP, INTERSPEECH, IEEE TASLP) and translate research outcomes into practical, scalable product solutions.Define mid- to long-term technical roadmaps for edge-side audio systems (e.g., hybrid AI + DSP architectures).
QualificationsRequired Technical BackgroundPhD (or exceptional Master’s degree) in Computer Science, Signal Processing, Electrical Engineering, Acoustics, or a related field.Extensive hands-on experience in edge-side / embedded audio algorithm development, with a proven record of delivering production-ready systems.Strong expertise in audio signal processing, including:Fourier analysis, subband processing, active noise control, hearing-aid algorithmsAdaptive filtering (LMS / NLMS), psychoacoustic modelingSolid experience with embedded platforms and real-time systems:RTOS (e.g., FreeRTOS, Zephyr) and/or embedded LinuxDSP architectures (e.g., Cadence / Tensilica or similar)Proficiency in C/C++ and Python and/or MATLAB, with the ability to independently develop, debug, and optimize edge-side algorithms.Familiarity with deep learning frameworks (PyTorch / TensorFlow / ONNX) and experience deploying models on edge devices.Demonstrated mass-production experience in consumer audio products (e.g., ANC algorithms for TWS earphones).Industry & Domain KnowledgeSolid understanding of audio-related standards and ecosystems (e.g., ITU-T, AES, MPEG).Experience working with mainstream audio chip platforms (e.g., Qualcomm/CSR, TI, MediaTek) or FPGA-based prototyping flows.Strong sensitivity to audio quality, balancing subjective listening evaluation with objective metrics (SNR, PESQ, THD+N, etc.).
Preferred Qualifications (Bonus Points)End-to-end ownership experience in audio algorithm design for edge-side SoC platforms (e.g., BES or similar).Granted patents or significant open-source contributions (e.g., Kaldi, WebRTC, SPTK).Strong performance in international audio challenges (e.g., DCASE, MLSP).Multilingual speech processing experience (Mandarin, English, dialects).Experience with algorithm–hardware co-design, including optimization for dedicated audio accelerators.
On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Talent Acquisition Specialist.
Responsibilities● Work together with local management team and HQ Business leaders to manage the recruitment needs / HCs / budgets etc.● Manage / expend the local sourcing channels, lower the recruitment costs● Fulfill the recruitment needs, complete all the necessary process, flows.● Take ownership of candidate experience by designing and managing it. Develop job postings, job descriptions and position requirements.● Ensure all screening, hiring, and selection is done in accordance with employment laws and regulations● Prepare the recruitment reports as per organization’s requirementsRequirements● Bachelor’s degree or above● Familiar with university’s programs, has connections with university career office or students committee● Familiar with Microsoft Word, Excel, Power Point, Outlook; especially in proficient in Power Point, strong in prepare presentation slide.● Good communication skills in both English and mandarin, likes to interact with all levels of people● Able to work independently in a fast-paced changing environment● Proactive working attitude; Able to work under pressure
On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Image Signal Processing Algorithm Engineer
Responsibilities:
Research in image/video signal processing algorithms like noise removal, image enhancement, signal processing for digital cameras.Perform research into leading edge and emerging video technologies, ideas, approaches and keep up to date with new video processing standards and general industry trendsPruning, model optimization, and deployment of AI-based video/image processing algorithms on chipset.Machine vision-oriented video/image enhancement algorithm research and developmentC-model simulation for image/video signal processing algorithm development and verification.Ability to express ideas and communicate effectively. Any of the following skills and experiences would be an added advantage:Video algorithms for pre-processing, post-processing, video sharpening, temporal/spatial noise reduction, color consistency, etc. Key image processing algorithms for Camera Signal Processing cores
Qualifications:
PhD relevant experiences (fresh PhD graduates) are welcome to apply.Basic knowledge in digital signal processing and AI based low-level computer vision approachesFor deep learning projects, familiar with at least one deep learning framework such as tensorflow, pytorch, etc.Working knowledge of C/C++ and/or OpenCV.Familiarity with ASIC design approach and environment will be an advantage
