Huawei Canada has an immediate Permanent opening for a Senior Researcher.
About the team:
The Huawei Human-Machine Interaction Lab unites global researchers, engineers, and designers to redefine human technology relationships through user centered, hands on research. We focus on agentic AI and multimodal interaction (voice, touch, vision, gesture) across smartphones, wearables, and emerging devices—advancing agentic workflows, multi-agent orchestration, and intuitive human-AI interfaces. By tightly integrating sensing, algorithms, and systems, our prototype driven work ships directly to products, enabling seamless task delegation and human AI collaboration at scale.
About the job:
Define and advance research directions in computer vision, spatial perception, and human-centered AI.
Develop algorithms for 2D/3D scene understanding, tracking, hand and gesture recognition, depth estimation, and real-time reconstruction.
Develop efficient small-model pipelines for real-time detection, tracking, temporal modeling, and interaction-state recognition.
Integrate vision foundation models, VLMs, and LLMs with lightweight perception components to enable spatial reasoning and agentic workflows.
Optimize end-to-end vision systems for accuracy, latency, power, memory, and hardware constraints.
Establish datasets, evaluation frameworks, success metrics, and technical milestones.
Build high-quality prototypes, support product integration, and contribute to design reviews and mentoring.
The total target annual compensation for this position ranges from $127,000 - $225,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
PhD in Computer Science, Engineering, Robotics, AI, or a related field, or a master’s degree with substantial industry R&D experience.
5+ years of applied R&D experience in computer vision, spatial computing, robotics, or intelligent devices.
Demonstrated ownership of complex perception or machine-learning systems from research through product delivery.
Deep expertise in several areas, including detection, segmentation, tracking, hand pose estimation, 3D vision, camera geometry, and sensor calibration.
Experience developing and deploying compact models using distillation, pruning, quantization, ONNX, TensorRT, TFLite, OpenVINO, or NPU acceleration.
Strong Python and C/C++ skills with experience building real-time video-processing pipelines.
Track record demonstrated through shipped products, impactful prototypes, patents, or publications, with strong collaboration and mentoring skills.
Additional Information:
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Huawei Technologies provides innovative and customized network solutions for telecom carriers around the world. Huawei holds leading positions in the global market in switching, next generation network (NGN), integrated access network, DSLAM, and intelligent network. Specializing in the areas of fixed network, mobile network, optical network, data communications, and value-added services, we strive to enable the best communication with our deep understanding of customers' needs. Huawei is dedicated to delivering long term value and potential growth to our customers. Established in 1988 and headquartered in Shenzhen, China, Huawei has already won trust from over 300 telecom carriers around the world. Our products and solutions serve over 90 countries, as well as 22 of the world's top 50 operators. Huawei’s cloud computing products provide the reliability, agility, and price-performance needed for delivering cutting-edge applications and services quickly, safely, and securely to large scale of industry verticals. Our cloud deploys various popular technologies like Docker, Kubernetes, Mesos, Openstack, SDN/NFV, Hadoop, Spark, and many more. Huawei Public Cloud now mainly launched in China (and will spread to the other parts of the world) and Private cloud is deployed in several customer locations. Huawei has 400+ Worlwide Data Centers including several public/private cloud setups.