Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We seek a pioneering Quantum AI Research Scientist to develop groundbreaking algorithms that merge quantum computing with artificial intelligence. You'll work in our state-of-the-art facility, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges. Our team operates at the intersection of theoretical physics and machine learning, pushing the boundaries of what's possible.
As a key innovator, you'll shape the future of computational intelligence while enjoying unparalleled professional development, equity packages, and flexible work arrangements. This role offers the rare opportunity to leave a lasting impact on emerging technologies that will define the next decade.
Responsibilities
- Design and implement hybrid quantum-classical AI models for advanced pattern recognition
- Lead cross-functional teams in developing quantum neural networks with 100+ qubit capabilities
- Publish peer-reviewed research in top-tier journals and present at international conferences
- Collaborate with hardware teams to optimize quantum algorithms for next-generation processors
- Secure $5M+ in research grants through compelling proposals and technical demonstrations
- Mentor junior researchers and establish new methodologies in quantum machine learning
- Translate theoretical frameworks into scalable production-level AI systems
Qualifications
- PhD in Quantum Computing, AI, or related field with 3+ years industry experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published record in quantum machine learning or top-tier AI conferences
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to secure competitive research funding
- Strong background in linear algebra, quantum mechanics, and algorithm optimization
- Experience mentoring diverse technical teams and leading research initiatives
- Portfolio of open-source contributions to quantum AI projects