Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Quantum Computing Researcher to develop next-generation algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve previously unsolvable problems in cryptography, materials science, and AI optimization. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit quantum processors and dedicated AI-accelerated research clusters.
What You'll Achieve:
You will lead breakthrough research in quantum error correction, design fault-tolerant quantum systems, and publish findings in top-tier journals. Your work directly contributes to our roadmap for commercial quantum applications by 2026, with opportunities to file patents and spin off innovative ventures. We provide competitive equity packages, flexible hybrid work arrangements, and access to exclusive industry conferences.
Responsibilities
- Design and implement novel quantum algorithms for optimization problems
- Develop quantum error correction protocols for practical applications
- Lead cross-functional teams in quantum-AI hybrid system development
- Publish peer-reviewed research in top quantum computing journals
- Collaborate with hardware engineers to prototype quantum processors
- Identify commercialization opportunities for quantum breakthroughs
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Physics, Computer Science, or related field (required)
- 3+ years experience with quantum computing frameworks (Qiskit, Cirq)
- Published research in quantum algorithms or quantum information theory
- Expertise in linear algebra and probability theory
- Proficiency in Python/C++ with quantum simulation libraries
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts to practical implementations