Job Description
Join NexusLabs at the forefront of quantum innovation as we pioneer the computational landscape of 2026. We're seeking a visionary Quantum Computing Architect to design next-gen quantum systems that will revolutionize cryptography, material science, and AI. This role offers unparalleled opportunity to shape the future of technology in our state-of-the-art San Francisco facility.
As a key member of our Quantum Research Division, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum architectures. Our hybrid work environment combines cutting-edge lab access with flexible remote options, ensuring optimal productivity while maintaining work-life balance. We offer comprehensive benefits including stock options, quantum-focused professional development, and exclusive access to our annual Quantum Innovation Summit.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for 2026-era applications
- Lead cross-functional teams in developing quantum algorithms for optimization problems
- Collaborate with hardware engineers to optimize quantum error correction protocols
- Develop quantum security frameworks for post-quantum cryptography standards
- Research and integrate emerging quantum technologies (topological qubits, photonic processors)
- Create technical documentation and patent quantum computing methodologies
- Mentor junior quantum engineers in advanced quantum programming paradigms
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience considered)
- 5+ years in quantum algorithm design or quantum hardware architecture
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Published research in peer-reviewed quantum computing journals
- Experience with quantum error correction codes (surface codes, color codes)
- Deep understanding of quantum supremacy challenges and solutions
- Certification in quantum security protocols (e.g., NIST post-quantum standards)
- Strong background in high-performance computing and parallel systems