Job Description
Shape the future of technology at Nexus Quantum Labs! As we approach 2026, we're pioneering quantum computing breakthroughs that will redefine global industries. Join our elite research team to develop next-gen quantum algorithms and solve humanity's most complex computational challenges.
Our state-of-the-art San Francisco campus offers unparalleled resources for quantum experimentation, including 500-qubit processors and cryogenic systems. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets practical innovation.
We provide comprehensive benefits including equity, relocation assistance, and flexible work arrangements. If you're ready to push the boundaries of what's possible, apply today.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental research in quantum error correction and fault-tolerant computing
- Develop hybrid quantum-classical machine learning frameworks for 2026 applications
- Collaborate with hardware teams to optimize quantum processor performance
- Publish findings in top-tier journals (Nature, Science, PRL) and present at IEEE/APS conferences
- Secure $2M+ in government/industry grants for quantum research initiatives
- Mentor PhD candidates in quantum information theory
Qualifications
- PhD in Quantum Physics, Computer Science, or Applied Mathematics (or equivalent experience)
- 3+ years of hands-on quantum computing research with demonstrated publications
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Proficiency in Python, C++, and high-performance computing environments
- Strong background in quantum algorithms (Shor, Grover, VQE) and error correction codes
- Experience with quantum hardware (IBM Quantum, Rigetti, IonQ) or superconducting systems
- Track record of securing research funding and managing multi-disciplinary projects
- Ability to translate complex quantum concepts into practical business applications