Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for the 2026 landscape. We seek a visionary Quantum Computing Architect to design next-generation quantum systems that will redefine computational boundaries. This role demands a blend of theoretical physics expertise and hands-on quantum engineering experience to build scalable, fault-tolerant quantum processors. You will collaborate with Nobel laureates, AI researchers, and materials scientists to transform quantum theory into practical applications across cryptography, drug discovery, and climate modeling.
Our state-of-the-art facility in San Francisco offers unparalleled resources including cryogenic quantum processors, advanced simulation environments, and dedicated quantum testbeds. We provide comprehensive benefits including equity packages, wellness stipends, and continuous learning opportunities through our Quantum Innovation Academy.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for 2026-era applications
- Lead quantum algorithm development for optimization, simulation, and machine learning tasks
- Collaborate with materials science teams to engineer novel quantum qubit technologies
- Develop quantum error correction protocols and hybrid quantum-classical workflows
- Establish quantum security frameworks for next-gen cryptographic systems
- Lead cross-functional teams of physicists, engineers, and software developers
- Author technical white papers and patents for quantum computing innovations
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proven experience with quantum error correction and fault-tolerant architectures
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE, QAOA)
- Strong background in cryogenic engineering and quantum hardware interfaces
- Published research in peer-reviewed quantum computing journals
- Experience leading quantum computing projects with measurable business impact
- Familiarity with quantum machine learning frameworks (PennyLane, TensorFlow Quantum)