DFX Expert - AI systems
Waterloo, Ontario, Canada
Huawei Technologies Canada Co., Ltd.
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.Our team has an immediate permanent opening for a DFX Digital Engineering Specialist.
Responsibilities:
- Develop and propose innovative system architectures and design principles that integrate DFX methodologies to ensure the trustworthiness of AI systems.
- Conduct risk assessments and design mitigation strategies to address potential safety and reliability issues.
- Design and develop systems models, reliability models and safety models for AI systems, utilizing exceptional problem-solving skills to overcome challenges and develop solutions.
- Lead and conduct pioneering research in the architecture and design of AI systems, emphasizing DFX principles to enhance trustworthiness attributes like safety, reliability, and availability.
- Drive continuous improvement in Design for X (DFX) process and methodologies.
- Document system designs, architectures, and development processes clearly and comprehensively.
- Stay current with emerging trends and technologies in AI, assured autonomy and systems engineering, applying this knowledge to enhance system architecture and design.
- Work cross-functionally to set the broader strategy and roadmap.
- Provide technical leadership and mentorship to 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.
Requirements
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;
- 5+ years of hands-on experience in system architecture and design, with a focus on AI systems;
- Strong expertise in DFX principles, including safety, reliability, and security in AI systems;
- Excellent knowledge and proven experience with ML/DL, LLMs, multimodal foundation models, or large generative models;
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward;
- Outstanding engineering skills for rapid research prototyping, open-source release, or production development;
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Deep Learning Jobs
Tags: Architecture Computer Science Engineering Generative modeling LLMs Machine Learning Open Source PhD Prototyping Python Research Robotics Security
Region:
North America
Country:
Canada
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