Job Description
Join Nexus Quantum Systems at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Engineers to architect next-gen quantum algorithms and hardware interfaces. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to build fault-tolerant quantum systems that will redefine computational paradigms. Our Austin campus features state-of-the-art cryogenic labs and a $50M R&D budget dedicated to quantum supremacy.
We offer unparalleled opportunities to shape humanity's quantum future through groundbreaking research in quantum error correction, topological qubits, and hybrid quantum-classical architectures. Your work will directly impact fields from drug discovery to climate modeling, with tangible deliverables scheduled for 2026 deployment.
What we offer: Competitive equity grants, unlimited PTO, sabbatical programs, and access to our exclusive 'Quantum Vision' accelerator program. Enjoy Austin's vibrant tech scene while working on projects that will define the next decade of innovation.
Responsibilities
- Design and implement quantum algorithms for optimization and simulation problems
- Develop quantum error correction protocols to achieve fault-tolerant computation
- Interface with cryogenic quantum hardware systems and control electronics
- Lead cross-functional teams in translating theoretical models into practical quantum applications
- Contribute to patent development and publish in Nature Physics/Science
- Mentor junior engineers in quantum programming languages (Qiskit, Cirq)
- Architect hybrid quantum-classical workflows for enterprise clients
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
- Deep understanding of quantum error correction codes (surface, topological)
- Experience with superconducting or trapped-ion quantum processors
- Published research in peer-reviewed quantum computing journals
- Strong background in linear algebra, complex analysis, and information theory
- Expertise in high-performance computing and parallel architectures