Job Description
Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. We seek visionary researchers to develop scalable quantum algorithms, error-correction protocols, and hybrid quantum-classical systems that will redefine technological possibilities. Our Austin-based R&D hub offers unparalleled resources, including state-of-the-art quantum processors and collaborative partnerships with MIT, Caltech, and NASA's Quantum Computing Lab.
This role offers competitive compensation, equity grants, and flexible work arrangements. As part of our elite Quantum Futures Division, you'll contribute to projects that could accelerate drug discovery, optimize climate modeling, and revolutionize artificial intelligence. Our commitment to cutting-edge innovation is matched only by our dedication to your professional growth through dedicated research budgets and conference support.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop fault-tolerant quantum error correction codes to improve qubit stability
- Collaborate with hardware teams to validate quantum processor performance metrics
- Lead research on quantum-classical hybrid computing architectures for enterprise solutions
- Publish findings in high-impact journals (Nature, Science, Quantum) and present at IEEE QCE
- Secure federal and private research grants for quantum computing initiatives
- Mentor junior researchers in quantum information theory and experimental physics
Qualifications
- PhD in Physics, Computer Science, or Quantum Information Science with 3+ years postdoctoral research
- Proven expertise in quantum algorithm development (QAOA, VQE, Grover's variants)
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#) and simulation tools
- Strong publication record in quantum computing or related fields
- Experience with superconducting qubit systems or trapped-ion quantum processors
- Demonstrated ability to secure NSF/DOE quantum computing grants
- Expertise in topological quantum computing or quantum error correction codes
- Knowledge of quantum machine learning applications and quantum neural networks