At a Glance
- Tasks: Optimize AI frameworks and lead innovations in large language models and reinforcement learning.
- Company: Join Huawei Canada, a leader in cutting-edge technology and AI research.
- Benefits: Competitive salary, full-time position, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a significant impact in AI technology while collaborating with top experts.
- Qualifications: Ph.D. or equivalent experience in AI, with 3+ years in relevant research.
The predicted salary is between 121600 - 152000 $ per year.
Huawei Canada has an immediate permanent opening for a Senior Principal Engineer.
About the team:
The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.
About the job:
- Responsible for system-level optimization of open-source frameworks in the fields of Large Language Models (LLMs) or reinforcement learning, with a focus on large-scale training and inference.
- Possess deep theoretical knowledge of reinforcement learning or LLM algorithms, and lead the design and implementation of advanced system optimization solutions across the AI software stack.
- Proactively identify and drive systematic innovations in LLMs, reinforcement learning algorithms, and system optimization, continuously enhancing the core competitiveness of AI frameworks.
- Collaborate closely with cross-functional teams, actively foster the growth of the technology ecosystem, and take a leading role in advancing AI framework technologies through personal technical expertise.
Job requirements
About the ideal candidate:
- Ph.D. in Mathematics, Computer Science, AI, or a related field, or equivalent research experience and technical proficiency.
- At least 3 years of experience in research and development of reinforcement learning, large language models (LLMs), or related algorithms.
- Familiarity with cutting-edge technologies such as LLMs, multimodal models, and novel reinforcement learning algorithms.
- Ability to optimize AI systems based on the latest research advances, improving usability and enabling more efficient adaptation to emerging algorithms.
- Proficiency with mainstream large model frameworks (e.g., PyTorch, TensorFlow), with hands-on experience in large-scale algorithm training.
- Strong cross-functional collaboration and communication skills, with the ability to work closely with customers and internal teams to drive successful project delivery.
- Candidates with a track record of core contributions to AI infrastructure communities (e.g., PyTorch, vLLM, LangChain) or significant influence in relevant open-source ecosystems are preferred.
- Original research publications in top-tier conferences (e.g., ICML, NeurIPS) or journals are considered a strong plus.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Education and Training
Industries: Telecommunications
Senior Principal Engineer - AI Framework Programming Expression Technology in Markham employer: Huawei Canada
Huawei Canada is an exceptional employer for those looking to advance their careers in optical networking. With a commitment to innovation and a supportive, diverse work culture, employees have access to cutting-edge technology and opportunities for professional growth within the Advanced Optical Technology Lab. Join us to be part of a team that values collaboration and creativity while making significant contributions to the future of optical systems.
