Job Description
Shape the technological frontier at Nexus Labs as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to lead breakthrough research in quantum algorithms and error correction. Join our elite team in San Francisco, where cutting-edge innovation meets real-world application. You'll collaborate with Nobel laureates and industry pioneers to develop quantum systems that will revolutionize industries from pharmaceuticals to finance.
At Nexus Labs, we invest in our researchers with state-of-the-art facilities, unlimited computational resources, and a culture that rewards intellectual curiosity. This role offers unparalleled opportunities to publish groundbreaking research, secure patents, and contribute to quantum computing's next evolution. Your work will directly influence how humanity solves previously unsolvable challenges.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop advanced quantum error correction protocols to achieve fault-tolerant quantum computing
- Lead experimental research on superconducting and photonic quantum processors
- Collaborate with engineering teams to translate theoretical models into practical quantum systems
- Publish peer-reviewed research and present findings at premier conferences
- Mentor junior researchers and foster an innovative quantum research culture
- Secure research funding through government grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 5+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Expertise in quantum error correction and fault-tolerant architectures
- Proven track record of publishing high-impact quantum computing research
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Experience with superconducting qubit manipulation or photonic quantum systems
- Demonstrated ability to lead cross-disciplinary research teams