AI Systems DFX Expert
1 month ago
Our team is seeking a highly skilled DFX Expert AI Systems to join our ranks. As a key member of our engineering team, you will be responsible for designing and developing trustworthy AI systems that integrate DFX methodologies to ensure safety, reliability, and security.
Key Responsibilities:- Develop 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.
- MS or PhD in Computer Science, Robotics, Artificial Intelligence, or a 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.
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