Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the next generation of quantum-AI convergence. We're seeking a visionary Research Scientist to develop breakthrough algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges across healthcare, climate modeling, and materials science.
Our state-of-the-art San Francisco campus features quantum annealing arrays and neuromorphic computing infrastructure. You'll lead projects with $20M+ R&D budgets and publish findings in top-tier journals. This isn't just a job—it's your chance to shape the technological landscape of the coming decade.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-disciplinary research teams in quantum-AI hybrid systems development
- Develop error-correction protocols for fault-tolerant quantum computing
- Translate theoretical breakthroughs into scalable industrial solutions
- Secure $5M+ in government and corporate research grants
- Author white papers on quantum-AI convergence for policy stakeholders
- Mentor postdoctoral researchers in emerging quantum paradigms
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (post-doc preferred)
- 5+ years of hands-on quantum algorithm development experience
- Published research in Nature/Science journals on quantum-AI topics
- Expertise in Qiskit, Cirq, and quantum circuit optimization
- Deep understanding of quantum decoherence mitigation strategies
- Proven track record securing DoE/NSF/DARPA research funding
- Fluency in Python, TensorFlow Quantum, and quantum simulation frameworks
- Experience with cryogenic quantum computing systems