Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and architectures that leverage quantum mechanics to solve previously unsolvable problems. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where your work will directly impact the future of computing, cryptography, and artificial intelligence.
Why Nexus Future Labs? We're not just preparing for 2026 – we're actively shaping it. With exclusive partnerships with quantum hardware leaders and $50M in R&D funding, you'll have access to cutting-edge technology and the freedom to explore radical ideas. Our team includes Nobel laureates and Turing Award winners committed to pushing the boundaries of what's possible.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop quantum error correction techniques to achieve fault-tolerant computation
- Collaborate with hardware engineers to co-design quantum processors with 2026 performance targets
- Lead research initiatives in quantum cryptography and post-quantum security protocols
- Publish breakthrough findings in top-tier journals and present at international conferences
- Secure patents on quantum computing methodologies and architectures
- Mentor junior researchers and drive cross-functional innovation projects
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years research experience
- Published work in quantum algorithms, quantum information theory, or quantum error correction
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Deep understanding of quantum hardware constraints and qubit technologies (superconducting, trapped ion, photonic)
- Experience with high-performance computing and parallel programming paradigms
- Strong track record of securing research grants or industry partnerships
- Demonstrated ability to translate theoretical concepts into practical implementations