Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next era of computing. As a Quantum Computing Research Scientist, you'll shape the future by developing breakthrough algorithms and protocols that will define 2026 and beyond. Our state-of-the-art lab in San Francisco offers unparalleled resources to explore quantum supremacy, error correction, and practical applications in cryptography, material science, and AI optimization.
We're seeking visionary researchers who thrive at the intersection of physics, computer science, and mathematics. In this role, you'll collaborate with Nobel laureates and industry pioneers to solve previously unsolvable problems. If you're passionate about pushing the boundaries of human knowledge and want to leave an indelible mark on technological history, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental research in quantum error correction and fault-tolerant systems
- Develop hybrid quantum-classical machine learning frameworks for 2026 applications
- Collaborate with hardware teams to bridge theoretical models with physical qubit implementations
- Publish breakthrough research in Nature/Science journals and present at premier conferences
- Secure $1M+ in research funding through NSF and DARPA proposals
- Mentor PhD candidates and postdoctoral researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoc experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and circuit optimization
- Published record in top-tier quantum computing research (minimum 5 papers)
- Deep understanding of quantum information theory and topological quantum computing
- Proficiency in Python, C++, and high-performance computing frameworks
- Demonstrated experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong track record of translating theoretical concepts into experimental implementations