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 brilliant Quantum Computing Research Scientist to push the boundaries of computational science and develop next-generation algorithms that will redefine industries. Our Austin-based hub offers unparalleled resources, including state-of-the-art quantum processors and a collaborative ecosystem of Nobel laureates and industry disruptors.
This role is perfect for visionary thinkers passionate about solving humanity's most complex challenges through quantum mechanics. You'll work on cutting-edge projects in cryptography, materials science, and AI optimization while mentoring the next generation of quantum pioneers. We offer competitive equity packages, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.
Responsibilities
- Design and implement novel quantum algorithms for optimization problems in logistics, drug discovery, and financial modeling
- Develop error correction protocols to enhance qubit stability in next-generation quantum processors
- Collaborate with hardware engineers to co-design quantum architectures targeting 2026 commercial applications
- Lead interdisciplinary research teams combining quantum physics, machine learning, and domain-specific expertise
- Publish peer-reviewed papers and present findings at premier conferences like Q2B and IEEE Quantum Week
- Secure external funding through NSF grants and industry partnerships for quantum initiatives
- Mentor PhD candidates and interns in quantum computing methodologies and best practices
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years post-doctoral experience
- Published research in quantum algorithms or quantum error correction in top-tier journals (Nature/Science/Physical Review X)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#) and classical high-performance computing
- Demonstrated experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra, probability theory, and computational complexity
- Track record of securing research funding or leading industrial quantum projects
- Excellent communication skills with ability to articulate complex quantum concepts to diverse stakeholders
- Experience with cloud-based quantum computing platforms and hybrid quantum-classical workflows