Job Description
Join Nexus Quantum Labs at the forefront of technological revolution! We're seeking a pioneering Quantum Computing Architect to design and implement next-generation quantum systems that will redefine computational boundaries. In this critical role, you'll architect scalable quantum solutions, lead cutting-edge research initiatives, and collaborate with Nobel laureates to shape the quantum landscape of 2026 and beyond. Your expertise will directly accelerate breakthroughs in cryptography, material science, and AI optimization.
As a key member of our Future Technologies Division, you'll work in our state-of-the-art Austin facility with access to quantum simulators, cryogenic systems, and a $500M R&D budget. We offer competitive equity packages, flexible hybrid work arrangements, and unparalleled opportunities to publish groundbreaking research in partnership with MIT and Stanford.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for commercial applications
- Lead cross-functional teams in developing quantum algorithms for optimization and simulation
- Collaborate with hardware teams to integrate quantum processors with classical computing systems
- Develop quantum security protocols for next-generation cryptographic systems
- Establish industry standards for quantum software development and testing
- Present quantum computing roadmaps to C-suite executives and venture partners
- Drive innovation in quantum machine learning and AI integration
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (MS with 8+ years experience considered)
- 5+ years experience in quantum algorithm design or quantum hardware architecture
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum error correction
- Proven track record of publishing in peer-reviewed quantum computing journals
- Deep understanding of quantum supremacy challenges and fault-tolerant computing
- Experience with cryogenic systems and quantum control electronics
- Strong background in distributed computing and high-performance parallel systems