Job Description
Shape the Future of Computing at Nexus Labs
Join our elite Quantum Computing division as we pioneer the next technological revolution. As we approach 2026, quantum systems will redefine computational boundaries. We're seeking a visionary architect to design scalable quantum infrastructures that will power breakthroughs across industries.
Why Nexus Labs? Our Austin R&D center houses the world's most advanced quantum annealing arrays. You'll collaborate with Nobel laureates and industry pioneers in an environment where theoretical physics meets practical innovation. We offer competitive equity packages and dedicated quantum lab access.
Your Impact: Lead the development of fault-tolerant quantum architectures that will solve previously intractable problems in drug discovery, climate modeling, and artificial intelligence.
Responsibilities
- Design and implement scalable quantum computing architectures compatible with 2026 hardware standards
- Develop hybrid quantum-classical algorithms for enterprise-scale optimization problems
- Lead cross-disciplinary teams of physicists, engineers, and software developers
- Establish quantum security protocols for next-generation communication networks
- Research and mitigate quantum decoherence challenges in real-world environments
- Create technical roadmaps for quantum computing integration into cloud platforms
- Present findings at industry conferences and publish in peer-reviewed journals
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science (or equivalent experience)
- 5+ years experience in quantum algorithm design or quantum hardware architecture
- Proficiency with quantum programming languages (Qiskit, Cirq, or Q#)
- Published research in quantum error correction or topological qubits
- Deep understanding of quantum entanglement and superposition principles
- Experience with cryogenic quantum systems and control electronics
- Strong background in machine learning and high-performance computing
- Track record of translating theoretical concepts into practical implementations