Job Description
Join Nexus Future Labs at the forefront of quantum revolution! We're seeking a visionary Quantum Computing Architect to design next-gen systems that will redefine computational boundaries. You'll lead groundbreaking research in quantum algorithms, error correction, and scalable architectures while collaborating with Nobel laureates and industry pioneers. Our Austin campus features state-of-the-art quantum labs and offers unparalleled resources to transform theoretical concepts into real-world solutions.
As a key member of our 2026 Initiative, you'll shape the quantum landscape for decades to come. We provide competitive equity packages, flexible work arrangements, and access to exclusive industry conferences. This role offers the rare opportunity to work at the intersection of physics, computer science, and emerging technologies.
Responsibilities
- Design scalable quantum computing architectures using superconducting qubits and topological systems
- Develop novel quantum algorithms for optimization, cryptography, and machine learning applications
- Lead error mitigation strategies to achieve fault-tolerant quantum computation
- Collaborate with hardware engineers to integrate quantum-classical hybrid systems
- Publish peer-reviewed research and present findings at premier conferences
- Mentor junior researchers and drive quantum education initiatives
- Secure federal and private research funding through compelling proposals
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Proven expertise in quantum circuit design and quantum algorithm development
- Strong background in quantum error correction and fault tolerance techniques
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to secure research grants and publish high-impact papers
- Deep understanding of NISQ-era limitations and post-NISQ roadmaps
- Exceptional problem-solving skills with complex multi-variable systems