Job Description
Shape the future by pioneering quantum-AI hybrid systems at Nexus Quantum Solutions. We're seeking visionary engineers to develop next-generation algorithms that redefine computational boundaries. Join our interdisciplinary team in a state-of-the-art facility where theoretical physics meets machine learning innovation. Enjoy competitive equity packages, flexible schedules, and dedicated research time to explore breakthrough concepts.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Collaborate with physicists to optimize quantum circuit architectures
- Develop hybrid quantum-classical algorithms for complex optimization problems
- Lead research publications in top-tier quantum computing journals
- Translate theoretical concepts into scalable prototype systems
- Mentor junior researchers in quantum algorithm development
- Secure external funding through NSF and DARPA grants
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra, probability, and information theory
- Demonstrated ability to lead cross-functional technical projects