Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026. We're seeking a visionary Quantum Computing Architect to design next-gen systems that will revolutionize industries. This role offers unparalleled opportunities to shape the future of computation while working alongside Nobel laureates and industry disruptors. You'll lead the development of fault-tolerant quantum processors and hybrid quantum-classical algorithms that will solve previously impossible problems in cryptography, material science, and artificial intelligence.
Why Nexus Labs? Our state-of-the-art quantum lab features dilution refrigerators operating at 10 millikelvin, and we offer comprehensive benefits including stock options, unlimited PTO, and a $10,000 annual learning stipend. Work in our downtown San Francisco headquarters with breathtaking bay views and collaborate with a team that's already filed 47 quantum-related patents.
Responsibilities
- Design and implement scalable quantum computing architectures for commercial deployment by 2026
- Develop error-correction protocols to achieve fault-tolerant quantum computation
- Create hybrid quantum-classical algorithms for optimization problems in finance and logistics
- Lead cross-functional teams of physicists, engineers, and software developers
- Establish quantum security frameworks for next-generation communication systems
- Partner with academic institutions to publish breakthrough research in Nature/Science journals
- Drive patent development in quantum algorithms and hardware optimization
Qualifications
- PhD in Quantum Physics, Computer Science, or Electrical Engineering (MS with 10+ years experience considered)
- Proven expertise in quantum circuit design and quantum error correction
- Published research in quantum computing or related field (3+ peer-reviewed papers)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Experience with superconducting qubit systems or trapped-ion technologies
- Strong background in high-performance computing and parallel processing
- Demonstrated ability to translate theoretical concepts into practical implementations