Architect - AI System

2 weeks ago


Waterloo, Canada Huawei Full time
Our team has an immediate 12-month contractopening for an Architect. Responsibilities:
  • Continuously learn and innovate in the field of intelligent autonomous systems to stay updated with industry trends and advancements.
  • Design and develop systems models and architectures for embodied AI, utilizing exceptional problem-solving skills to overcome challenges and develop solutions.
  • Proactively engage in research activities and identify new opportunities for research; present research findings and progress updates to team members and stakeholders; work with cross-functional teams to integrate them into practical applications.
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence.
  • Work cross-functionally to set the broader strategy and roadmap.
  • Challenge the status quo, both technical and process.
  • Mentor and guide junior team members to support their growth and development.
  • Collaborate with external partners and research institutions to foster innovation and expand the reach of our research.

What you’ll bring to the team:

  • MS or PhD in in Computer Science, Robotics, Artificial Intelligence, relevant technical field, or equivalent practical experience;
  • Proficiency in programming languages such as C/C++, Python, or similar;
  • Excellent knowledge and hands-on experience with ML/DL, LLMs, multimodal foundation models, or large generative models;
  • Outstanding engineering skills for rapid research prototyping, open-source release, or production development;
  • Experience in building systems based on machine learning and/or deep learning methods, like motion planning, embodied AI, human-robot interaction, sim-to-real transfer, and dexterous manipulation;
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward;
  • Experience in driving technical strategy and vision for engineering teams and organizations;
  • Self-motivated and enjoy exploring “undefined” territory, and solving hard problems, and building systems from the lowest level if needed.
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