Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop scalable quantum algorithms and solve previously unsolvable computational challenges. In this role, you'll collaborate with Nobel laureates and industry disruptors to shape the future of artificial intelligence, cryptography, and material science.
Our state-of-the-art quantum lab in San Francisco offers unparalleled resources for experimentation and innovation. We provide competitive compensation, equity packages, and flexible work arrangements designed to maximize your creative potential. If you're passionate about pushing the boundaries of what's possible in quantum mechanics, this is your opportunity to make history.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Conduct cutting-edge research in quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to develop quantum software stacks for next-generation processors
- Publish breakthrough research in top-tier scientific journals and present at international conferences
- Mentor junior researchers and drive quantum computing education initiatives
- Secure federal and private research funding through compelling proposal development
- Stay current with emerging quantum technologies and industry advancements
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing specialization
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum mechanics principles and quantum information theory
- Publication record in quantum computing or adjacent research areas
- Expertise in linear algebra, probability theory, and complex mathematical modeling
- Proficiency in high-performance computing environments and parallel processing
- Strong track record of translating theoretical concepts into practical applications
- Experience with machine learning frameworks for quantum data analysis