Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop groundbreaking algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel Prize-winning physicists and elite engineers to build scalable quantum systems capable of solving previously impossible problems in cryptography, material science, and AI optimization. Our state-of-the-art facility in San Francisco's tech corridor offers unparalleled resources including cryogenic quantum processors and dedicated supercomputing clusters.
As part of our 2026 strategic initiative, you'll contribute to projects that will shape the next decade of technological advancement. We offer competitive equity packages, unlimited PTO, and comprehensive wellness programs designed to support peak innovation. Our commitment to diversity and inclusion ensures you'll thrive in an environment where unconventional thinking is celebrated.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead research in quantum error correction and fault-tolerant computing architectures
- Collaborate with hardware teams to translate theoretical models into practical quantum circuits
- Publish findings in top-tier journals and present at international quantum computing conferences
- Develop patents for proprietary quantum methodologies and intellectual property
- Mentor junior researchers and cross-functional teams in quantum computing principles
- Secure research funding through government grants and private partnerships
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
- Proven expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Published record in quantum information theory or quantum algorithms
- Experience with quantum hardware platforms (superconducting, ion trap, photonic)
- Strong background in linear algebra, probability theory, and computational complexity
- Demonstrated ability to secure research grants (> $500,000)
- Proficiency in high-performance computing environments and parallel programming