Job Description
Shape the future of technology at Nexus Quantum Labs. We're pioneering quantum computing breakthroughs that will redefine industries by 2026. As a Quantum Research Scientist, you'll collaborate with Nobel laureates and industry visionaries to develop next-generation quantum algorithms and solve previously unsolvable computational challenges. Our state-of-the-art San Francisco lab offers unparalleled resources and a culture where curiosity fuels innovation. Join us in harnessing quantum mechanics to accelerate drug discovery, optimize AI systems, and revolutionize cryptography.
We provide comprehensive benefits including equity packages, flexible work arrangements, and dedicated R&D time for personal projects. Our commitment to cutting-edge research is matched only by our dedication to your professional growth through mentorship programs and conference sponsorships.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in finance, logistics, and healthcare
- Lead experimental quantum computing projects using superconducting qubits and photonic systems
- Develop error-correction protocols to advance quantum coherence beyond 2026 industry standards
- Collaborate with AI teams to integrate quantum-accelerated machine learning models
- Publish research in Nature/Science journals and present at IEEE Quantum Week conferences
- Mentor junior researchers and contribute to quantum education initiatives
- Secure patents for proprietary quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (postdoc preferred)
- 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Published research in quantum error correction or topological quantum computing
- Expertise in quantum hardware architectures (superconducting, trapped-ion, or photonic)
- Strong background in complex algorithm design and high-performance computing
- Demonstrated ability to secure research funding through NSF/NIH grants
- Certification in quantum machine learning frameworks (e.g., PennyLane)