Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to architect next-gen algorithms and solve previously unsolvable computational challenges. In this high-impact role, you'll collaborate with Nobel laureates and industry pioneers to develop fault-tolerant quantum systems that will redefine industries from pharmaceuticals to cryptography.
Our Austin campus features state-of-the-art cryogenic labs and dedicated quantum annealing resources. You'll lead groundbreaking research initiatives while mentoring the next generation of quantum engineers. We offer competitive equity packages, unlimited R&D budgets, and flexible work arrangements designed for peak innovation.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop error correction protocols for fault-tolerant quantum computing systems
- Collaborate with hardware teams to co-design quantum processors and control systems
- Lead cross-functional research initiatives in quantum cryptography and secure communications
- Publish breakthrough findings in top-tier journals and present at international conferences
- Secure federal and private research grants for quantum computing initiatives
- Mentor junior researchers and contribute to quantum education programs
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years of research experience
- Expertise in quantum algorithms, quantum error correction, or quantum information theory
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Published record in quantum computing or related fields from premier conferences/journals
- Experience with superconducting qubits, trapped ions, or photonic quantum systems
- Demonstrated ability to secure research funding (NSF, DOE, DARPA, or corporate grants)
- Strong background in linear algebra, probability theory, and computational complexity