NI QE

Job Title: NI QE (Neural Intelligence Quality Engineer)
Roles And Responsibilities
Intelligence Testing : Design, develop, and execute comprehensive test plans to evaluate and validate the intelligence, reasoning, and awareness of an Artificial General Intelligence system. This includes:

• Creating novel tests that push the boundaries of current AI evaluation, going beyond typical benchmarks to probe for genuine understanding and sentience.
• Developing scenarios to assess the system's ability to handle ambiguous, abstract, and open-ended problems.
• Evaluating the system's capacity for self-awareness, realtime-learning, continous learning, moral reasoning, and knowledge consistency.
• Collaborating with researchers and ethicists to design and implement tests that explore the system's knowledge and ethical alignment.
• System Quality Assurance : Ensure the reliability, performance, and security of the AGI system and its underlying infrastructure.
• Develop and execute test cases for the system's core APIs, data pipelines, and hardware integration.
• Automate complex test scenarios using frameworks like Pytest, ensuring reproducibility and scalability.
• Identify and report on system anomalies, data inconsistencies, and performance degradation.
• Collaborate with engineering teams to ensure the system is robust, secure, and ready for deployment.

Qualifications

• Proven experience in a senior QA or testing role, with a strong background in testing complex, AI-driven systems.
• Deep understanding of AI/ML concepts and their practical applications.
• Familiarity with philosophical concepts of knowledge, intelligence, and ethics.
• Fair programming skills, with a focus on Python and automated testing frameworks.
• Exceptional analytical and problem-solving abilities, with a passion for tackling unprecedented challenges.
• Excellent communication skills, with the ability to articulate complex concepts and findings to both technical and non-technical stakeholders.