Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of computing. As a Quantum Computing Research Scientist, you'll drive breakthroughs that will redefine industries by 2026. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources to transform theoretical concepts into practical solutions. We're seeking visionary minds to accelerate quantum supremacy and develop algorithms that will solve previously impossible problems in cryptography, materials science, and AI optimization.
This role offers competitive compensation, equity, and the opportunity to shape the future of technology. You'll collaborate with Nobel laureates and industry pioneers while working on projects that will impact billions of lives. Our commitment to innovation is matched only by our dedication to your professional growth through cutting-edge training and conference participation.
Responsibilities
- Design and implement novel quantum algorithms for complex computational problems
- Lead research initiatives in quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to optimize quantum circuit performance
- Develop quantum machine learning frameworks for predictive analytics
- Publish groundbreaking research in peer-reviewed journals and industry conferences
- Mentor junior researchers and drive cross-functional innovation workshops
- Secure external funding through NSF and DoE grant applications
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in quantum error correction and fault-tolerant architectures
- Published research in quantum algorithms or quantum information theory
- Proficiency in high-performance computing environments (HPC, cloud quantum platforms)
- Strong background in linear algebra, complex analysis, and statistical mechanics
- Demonstrated ability to translate theoretical concepts into practical implementations