Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers an unparalleled environment for breakthrough innovation, with competitive benefits including equity, flexible schedules, and dedicated R&D budgets.
This role is critical to our 2026 roadmap: developing fault-tolerant quantum neural networks and hybrid quantum-classical systems. You'll collaborate with Nobel laureates and industry pioneers while publishing in top-tier journals and contributing to open-source quantum frameworks.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
- Lead research in quantum error correction and fault-tolerant architectures
- Develop hybrid quantum-classical frameworks for real-world optimization problems
- Publish peer-reviewed research in top-tier journals/conferences
- Collaborate with hardware teams to co-design quantum processors
- Mentor junior researchers and quantum computing interns
- Secure external funding through NSF/NIH grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and frameworks
- Strong publication record in quantum computing or AI research
- Proficiency in high-performance computing environments (HPC, cloud quantum services)
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with quantum hardware integration and calibration protocols