Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum AI systems. We're seeking visionary Research Scientists to develop breakthrough algorithms that will redefine computing by 2026. Our interdisciplinary team leverages cutting-edge quantum hardware, machine learning, and nanotechnology to solve humanity's most complex challenges. This role offers unparalleled access to experimental quantum processors and collaborative partnerships with leading academic institutions worldwide.
Responsibilities
- Design and implement quantum algorithms for AI optimization and machine learning acceleration
- Lead cross-functional research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop error-correction protocols for fault-tolerant quantum computing architectures
- Collaborate with hardware engineers to prototype quantum processors with >1000 qubits
- Publish findings in top-tier journals and present at international quantum computing conferences
- Secure research funding through NSF and DARPA grant applications
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Publication record in quantum machine learning or quantum algorithms
- Expertise in quantum error correction and fault-tolerant computing
- Strong background in deep learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Demonstrated ability to secure competitive research grants
- Experience with quantum hardware interfaces (IBM Quantum, Rigetti, IonQ)