Job Description
We are looking for a visionary Quantum AI Ethics Lead to join our elite team in San Francisco. As we push the boundaries of what is possible in 2026, you will be the guardian of our ethical standards, ensuring that the rapid advancement of Quantum Machine Learning benefits humanity without compromising security or fairness.
In this high-impact role, you will bridge the gap between theoretical physics, artificial intelligence, and public policy. You will lead our internal ethics board, define compliance frameworks for next-gen algorithms, and guide the development of responsible AI systems that operate on quantum processors.
Why Join Us?
- Work on the cutting edge of technology that will define the next decade.
- Competitive salary and equity package.
- Flexible remote-first policy with a premium office in the heart of SF.
- Access to world-class research facilities and quantum hardware.
Are you ready to shape the ethical landscape of the future? Apply today.
Responsibilities
- Define and implement the global ethical framework for Quantum AI applications, ensuring alignment with international regulations.
- Conduct rigorous audits on algorithmic bias, quantum entanglement risks, and data privacy in quantum computing environments.
- Collaborate with R&D teams to integrate ethical safeguards directly into the software development lifecycle (SDLC).
- Advocate for responsible innovation to stakeholders, investors, and the public through thought leadership and white papers.
- Develop training programs to raise ethical awareness across the engineering and research departments.
- Monitor emerging threats and ethical challenges related to quantum supremacy and autonomous systems.
Qualifications
- PhD or Master’s degree in Computer Science, Philosophy, Quantum Physics, or a related field.
- 5+ years of experience in AI ethics, policy formulation, or research governance.
- Deep understanding of Quantum Mechanics, Quantum Computing, and Machine Learning algorithms.
- Strong analytical skills with the ability to assess complex technical risks.
- Excellent written and verbal communication skills for cross-functional and executive-level presentations.
- Experience working in a high-tech, fast-paced environment.