Job Description
Architect the Future of Intelligence
Are you ready to build the infrastructure for tomorrow? Nexus Future Systems is seeking a visionary Senior Quantum AI Architect to lead our roadmap for 2026 and beyond. In this high-impact role, you will bridge the gap between theoretical quantum computing advancements and practical, scalable AI applications. We are looking for a thought leader who thrives on solving complex problems and defining the next generation of intelligent systems.
Why Join Us?
- Shape the 2026 Roadmap: You will directly influence the strategic direction of our core technology stack.
- Elite Team: Work alongside world-class researchers and engineers pushing the boundaries of what's possible.
- Competitive Compensation: We offer a top-tier salary and equity package.
Key Responsibilities
- Design and implement scalable AI architectures optimized for future quantum processors.
- Lead the technical strategy for the 2026 product evolution, ensuring long-term feasibility.
- Collaborate with cross-functional teams to integrate emerging AI models into production environments.
- Conduct research on cutting-edge quantum algorithms and their application to enterprise problems.
- Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Define best practices for data security and privacy in AI systems.
Qualifications
- PhD or Master's degree in Computer Science, Physics, Mathematics, or a related field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML or Quantum Computing.
- Deep understanding of machine learning algorithms, neural networks, and quantum gate models.
- Proven experience leading technical teams and managing complex project lifecycles.
- Strong proficiency in Python, C++, and cloud-native infrastructure (AWS/GCP).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to stakeholders.
Responsibilities
- Design and implement scalable AI architectures optimized for future quantum processors.
- Lead the technical strategy for the 2026 product evolution, ensuring long-term feasibility.
- Collaborate with cross-functional teams to integrate emerging AI models into production environments.
- Conduct research on cutting-edge quantum algorithms and their application to enterprise problems.
- Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Define best practices for data security and privacy in AI systems.
Qualifications
- PhD or Master's degree in Computer Science, Physics, Mathematics, or a related field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML or Quantum Computing.
- Deep understanding of machine learning algorithms, neural networks, and quantum gate models.
- Proven experience leading technical teams and managing complex project lifecycles.
- Strong proficiency in Python, C++, and cloud-native infrastructure (AWS/GCP).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to stakeholders.