Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. Our multidisciplinary team is developing next-generation quantum algorithms to solve previously unsolvable problems in cryptography, drug discovery, and climate modeling. This role offers unparalleled opportunity to shape the future of computational science while working with industry-leading quantum hardware and machine learning frameworks.
We provide a dynamic, collaborative environment with state-of-the-art laboratories, competitive equity packages, and comprehensive benefits. Your work will directly impact breakthrough innovations that will define the next decade of technological advancement.
Responsibilities
- Design and implement novel quantum algorithms for complex computational problems
- Collaborate with hardware engineers to optimize quantum circuit performance on superconducting processors
- Lead research initiatives in quantum machine learning and hybrid quantum-classical systems
- Publish findings in leading scientific journals and present at international conferences
- Develop quantum error mitigation techniques for practical near-term applications
- Mentor junior researchers and cross-functional teams
- Secure external funding through NSF and DoE grant applications
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing focus
- 3+ years of experience with quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in quantum algorithms and complexity theory
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated publication record in quantum information science
- Strong background in linear algebra, statistical mechanics, and quantum mechanics
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)