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 visionary Quantum Computing Research Scientists to develop breakthrough algorithms and hardware architectures that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, working on projects that could solve previously intractable problems in medicine, climate modeling, and artificial intelligence.
Our team operates at the intersection of physics, computer science, and materials engineering, pushing the limits of quantum coherence, error correction, and qubit scalability. As we accelerate toward quantum advantage, you'll shape the tools and frameworks that will power the next generation of technological innovation.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop error correction protocols to enhance qubit stability and computational fidelity
- Collaborate with hardware teams on qubit architecture and quantum gate optimization
- Lead research on quantum supremacy applications for real-world industry challenges
- Publish breakthrough findings in leading scientific journals and present at international conferences
- Drive quantum computing roadmaps aligned with 2026 commercialization targets
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Physics, Computer Science, Electrical Engineering, or related quantum field
- 5+ years of hands-on quantum computing research with demonstrated publications
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and circuit optimization
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
- Experience with superconducting or photonic quantum systems
- Strong background in quantum error correction and fault-tolerant architectures
- Proven ability to translate theoretical concepts into practical implementations