Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers unparalleled opportunities to shape the next generation of computational paradigms while working with Nobel-caliber researchers in our state-of-the-art Silicon Valley lab.
Your Impact: You'll develop novel quantum machine learning algorithms that will redefine industries from healthcare to climate modeling. Our team operates in an environment where theoretical breakthroughs become real-world solutions within months, not years. We provide competitive equity packages, unlimited R&D budgets, and direct collaboration with global academic institutions.
Responsibilities
- Design and implement quantum neural networks for pattern recognition optimization
- Lead cross-functional projects combining quantum computing with generative AI systems
- Develop error-corrected qubit architectures for machine learning acceleration
- Translate theoretical quantum algorithms into practical implementations on hardware
- Publish groundbreaking research in Nature/Science journals and top-tier conferences
- Mentor junior researchers and drive innovation in quantum AI methodologies
- Collaborate with hardware teams to co-design quantum-AI hybrid systems
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- 3+ years of experience developing quantum algorithms or advanced AI models
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate complex theoretical concepts into working prototypes
- Experience with quantum hardware interfaces (IBM Quantum, Rigetti, IonQ)