Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Nexus Horizon Systems is seeking a visionary Lead Quantum AI Architect to spearhead the integration of quantum computing paradigms into our next-generation AI infrastructure.
In this pivotal role, you will bridge the gap between theoretical quantum physics and practical machine learning applications. We are building the core of our 2026 roadmap, focusing on solving complex optimization problems that are currently intractable for classical systems. If you are a thought leader with a passion for the future of computation, we want to hear from you.
Why Join Nexus Horizon Systems?
- Impactful Work: Directly influence the trajectory of AI technology in the NISQ era and beyond.
- Competitive Package: Base salary up to $250,000 plus equity and comprehensive benefits.
- Future-Forward Environment: Work in a collaborative hub with access to cutting-edge quantum hardware prototypes.
Responsibilities
- Design and implement hybrid quantum-classical algorithms to enhance existing machine learning models.
- Lead a team of researchers and engineers in exploring quantum error mitigation techniques for practical deployment.
- Collaborate with cross-functional partners to define the technical roadmap for the 2026 product release cycle.
- Conduct in-depth research on quantum simulation and optimization strategies for enterprise applications.
- Provide technical mentorship and guidance to junior data scientists and quantum researchers.
- Translate complex quantum concepts into actionable technical specifications for non-technical stakeholders.
- Stay ahead of industry trends in quantum computing, AI, and hardware architecture.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Physics, Mathematics, or a related quantitative field with a focus on AI or Quantum Mechanics.
- Minimum of 5 years of professional experience in machine learning, deep learning, or artificial intelligence engineering.
- Hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Proficiency in Python, CUDA, and high-performance computing environments.
- Strong understanding of linear algebra, probability theory, and optimization theory.
- Excellent problem-solving skills with a proven track record of delivering innovative technical solutions.
- Ability to thrive in a fast-paced, high-growth startup environment.