Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and architectures that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of AI, cryptography, and material science while collaborating with Nobel laureates and industry disruptors.
Our state-of-the-art lab in San Francisco provides cutting-edge resources for experimental quantum systems development. You'll lead breakthrough research in error correction, quantum supremacy, and hybrid quantum-classical systems while mentoring the next generation of quantum pioneers. We offer competitive compensation, comprehensive benefits, and the autonomy to explore your boldest scientific hypotheses.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error correction protocols to achieve fault-tolerant quantum computation
- Lead experimental validation of quantum systems using superconducting and photonic platforms
- Collaborate with hardware teams to co-design quantum architectures for 2026-era applications
- Publish breakthrough research in top-tier journals and present at international conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure research grants and patents for proprietary quantum methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
- Proven expertise in quantum circuit design and quantum algorithm development
- Publication record in Nature/Science or equivalent quantum computing venues
- Proficiency with quantum programming languages (Qiskit, Cirq, Quipper)
- Experience with cryogenic systems and quantum control electronics
- Demonstrated ability to secure NSF or DARPA-level research funding
- Strong background in machine learning and high-performance computing