Huawei Canada Logo

Huawei Canada

Senior Researcher – Computer Vision & Human-Centered AI

Posted 23 Days Ago
Be an Early Applicant
In-Office
Markham, ON, CAN
Senior level
In-Office
Markham, ON, CAN
Senior level
Lead research in computer vision, spatial perception, and human-centered AI. Develop real-time 2D/3D vision, tracking, gesture recognition, compact model, and agentic AI systems. Integrate foundation models with efficient perception pipelines, optimize for hardware constraints, establish datasets and evaluation metrics, build prototypes, support product integration, and mentor researchers and engineers.
The summary above was generated by AI

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.

Huawei Canada Markham, Ontario, CAN Office

19 Allstate Pky, Markham, Ontario, Canada, L3R 5A4

Huawei Canada Toronto, Ontario, CAN Office

Toronto, Canada

Similar Jobs

2 Hours Ago
Hybrid
Expert/Leader
Expert/Leader
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads the technical strategy, roadmap, architecture, and global delivery of cloud-native Core Network User Plane sub-services. Oversees engineering practices including CI/CD, SRE, DevOps, security, compliance, scalability, reliability, and cost efficiency across incubation, trials, commercial deployment, and scale-up. Builds engineering culture, establishes ways of working and performance metrics, and collaborates with global leadership, architects, engineers, and SRE teams to deliver customer-centric telecommunications products.
Top Skills: 3Gpp4G/5G Core NetworksAgileAWSAzureCi/CdCloud-Native ArchitectureDevOpsDistributed CloudDpdkEbpfEdge ComputingGCPHyperscalersPublic CloudSite Reliability Engineering (Sre)Sr-IovTraffic SteeringUpf
10 Hours Ago
Hybrid
Mississauga, ON, CAN
Entry level
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Leads store operations for Kate Spade New York, supporting sales performance, customer experience, team development, and achievement of business goals. The role requires strong interpersonal skills, strategic agility, creativity, customer focus, and the ability to provide feedback and build effective teams. Candidates must regularly lift 25 pounds, occasionally lift up to 50 pounds, and maneuver throughout the sales floor and stockroom.
Yesterday
Hybrid
Toronto, ON, CAN
Entry level
Entry level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead Data Scientist analyzing global fraud data to identify patterns, develop predictive models, and prevent payment fraud. The role builds fraud-related products and services, extracts insights from large datasets, collaborates with stakeholders, and presents findings to management and clients. Required skills include Python, Spark, complex data queries, and advanced data analysis. Experience with agentic AI systems and Unix is preferred, along with payments or fraud expertise.
Top Skills: SparkLlm-Based AgentsPythonUnix

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account