Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Researchers to develop next-gen algorithms and hardware architectures that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research in quantum supremacy, error correction, and practical quantum applications.
This role offers unparalleled opportunities to collaborate with Nobel laureates and industry pioneers while contributing to projects that will shape humanity's technological future. We provide competitive compensation, flexible work arrangements, and access to cutting-edge quantum computing infrastructure.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
- Develop error correction protocols to enhance quantum system stability and scalability
- Collaborate with hardware teams to prototype quantum processors with 100+ qubit capabilities
- Lead research initiatives in quantum machine learning and hybrid quantum-classical systems
- Publish findings in peer-reviewed journals and present at international quantum computing conferences
- Secure research funding through grant applications and industry partnerships
- Mentor junior researchers and contribute to quantum computing education initiatives
Qualifications
- PhD in Physics, Computer Science, Mathematics, or related quantum field
- 3+ years of hands-on quantum computing research experience with demonstrated publications
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Strong background in quantum error correction and fault-tolerant architectures
- Experience with quantum simulation frameworks and high-performance computing environments
- Proven ability to secure research funding and manage complex research projects
- Excellent written and verbal communication skills for technical and non-technical audiences