Job Description
Join Nexus Quantum Labs at the forefront of computational revolution! We're pioneering quantum algorithms that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll develop breakthrough protocols in error correction, quantum simulation, and cryptographic systems. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your research into scalable quantum architectures.
Collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets practical application. Your work will directly influence the next generation of AI, materials science, and optimization technologies. We provide competitive compensation, flexible work arrangements, and dedicated research funding for your most ambitious projects.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Lead experimental validation of quantum protocols on superconducting and photonic systems
- Develop error correction techniques to achieve fault-tolerant quantum computing
- Publish high-impact research in peer-reviewed journals and present at international conferences
- Collaborate with hardware teams to translate theoretical models into physical implementations
- Secure external funding through NSF and DoE grants for cutting-edge research initiatives
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoctoral experience
- Proven expertise in quantum circuit design and quantum algorithm development
- Proficiency with quantum computing frameworks (Qiskit, Cirq, Q#) and simulation tools
- Strong publication record in top-tier quantum computing or physics journals
- Experience with low-level quantum hardware control systems and cryogenics
- Demonstrated ability to secure competitive research grants and funding
- Excellent written and verbal communication skills for technical and non-technical audiences