- Search jobs
- Markham, ON
- training
Training Jobs in Markham, ON
Create a job alert for this search
Training • markham on
Principal Architect – Hardware Efficient AI Foundation Model Training
Huawei Technologies Canada Co., Ltd.Markham, Ontario, CAProduction supervisor – plastic manufacturing
TYCHO POLY INC.Vaughan, ON, CanadaPrincipal Engineer - Gen AI training and inferencing
Advanced Micro Devices, IncMARKHAM, Ontario, CanadaSenior Learning & Development Specialist (Leadership Development)
302 Town Centre Blvd.Markham, ONPart-Time Marketing & Sales Representative - Toronto
Puulse MarketingNorth York, ON, CATraining and Documentation
Computer TalkMarkham, OntarioHuman Resources Trainer
Six Flags Entertainment CorporationVaughan, OntarioPilates Instructor
Life Time>Vaughan, Ontario, Canada- Promoted
Nanny Wanted - Caregiver Needed Asap!
CanadianNanny.caWhitchurch-Stouffville, Ontario, CanadaInventory Lot Person - Gormley Automotive Centre (GAC)
WEINS Auto GroupGormley, Ontario, CanadaCustomer Service Representative - Remote
Tim's FinancialWillowdale, OntarioSummer Camp Counselors
Mad Science - Imagine Arts Academy (Toronto)Vaughan, ON, CAPractice Based Educator - Inpatient Surgery (10357)
Oak Valley HealthMarkham, ON- Promoted
Pet Groomer Trainee
PetSmartMarkham, Ontario, CanadaClinical Learning Facilitator
Spectrum Health CareMarkham, Ontario, CanadaSenior Training Specialist
Randstad CanadaNorth York, Ontario, CAStretch Practitioner
Stretch Zone - 1181North York, ON, CAProcurement Transformation Lead
COLAS CANADA INC.Toronto, ON, CA, M2N 6K1Field Technician
Action Restaurant Equipment ServicesMarkham, Ontario, Canada- Sarnia, ON (from $ 77,853 to $ 176,429 year)
- Brossard, QC (from $ 40,277 to $ 165,355 year)
- Hope, BC (from $ 51,821 to $ 164,814 year)
- Maple Ridge, BC (from $ 58,258 to $ 164,562 year)
- Windsor, ON (from $ 43,876 to $ 164,430 year)
- Peterborough, ON (from $ 37,401 to $ 164,362 year)
- Pointe-Claire, QC (from $ 72,263 to $ 162,631 year)
- Guelph, ON (from $ 44,762 to $ 162,096 year)
- Red Deer, AB (from $ 66,790 to $ 160,753 year)
- Baie-D'Urfe, QC (from $ 80,873 to $ 160,476 year)
Popular searches
Principal Architect – Hardware Efficient AI Foundation Model Training
Huawei Technologies Canada Co., Ltd.Markham, Ontario, CA- Full-time
- Permanent
Job description
Huawei Canada has an immediate permanent opening for a Principal Architect.
About the team:
The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.
One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.
About the job:
Collaborate with internal and external organizations to lead the design of foundational model architecture for LLM/Code/Multimodal subfields by breakthroughs in post-training and continual training. Develop a foundational model with state-of-the-art performance and hardware efficiency, and establish industry impact.
Propose the technical requirements for large-scale distributed training and inference infrastructures such as parallelization and operator fusion, analyze the computational characteristics of typical architectures, and ensure the accuracy and advancement of AI hardware & infrastructure evolution.
Job requirements
About the ideal candidate:
Experience in training and optimizing cutting-edge AI models/applications, especially in training and deploying AI models at a scale of 10B+ parameters.
Proficiency in the latest AI architecture (such as long-sequence, reinforcement learning, multimodal, and agents). Deep understanding of AI algorithm mechanisms.
Solid command of the underlying implementation of AI frameworks (such as PyTorch, vLLM, and SGLang), and mainstream distributed training and inference techniques.
Familiarity with AI chip architecture (such as GPU, NPU, and TPU). Understanding of memory hierarchy and interconnect technologies is an asset.
PhD preferred in AI architecture, computer architecture, or related fields.
Solid publication records in the field of AI systems or chip design are an asset.