Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Architect to design next-generation systems that will redefine computational boundaries. In this pivotal role, you'll lead the development of scalable quantum architectures, collaborate with Nobel laureates, and shape the future of AI-driven automation. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research, including access to D-Wave quantum processors and dedicated 5G testbeds.
As part of our elite Quantum Systems Division, you'll work on projects that directly impact global industries—from pharmaceutical discovery to climate modeling. We offer competitive equity packages, flexible hybrid work arrangements, and continuous learning stipends to ensure you remain at the cutting edge of quantum innovation.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for 2026 deployment
- Lead cross-functional teams in developing quantum-classical hybrid algorithms
- Optimize quantum circuits for error correction and scalability
- Collaborate with hardware teams to integrate quantum processors with classical systems
- Develop quantum simulation frameworks for complex molecular modeling
- Establish security protocols for quantum-resistant cryptography systems
- Present breakthrough research at international quantum computing conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm design or quantum hardware integration
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in peer-reviewed quantum computing journals
- Proficiency in high-performance computing environments (HPC)
- Experience with quantum error correction codes (surface/colour codes)
- Strong background in machine learning for quantum systems
- Proven ability to lead technical teams in high-stakes R&D environments