Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum computing with artificial intelligence, pushing the boundaries of computational possibility.
Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your work will directly impact fields from drug discovery to climate modeling. We value intellectual curiosity and offer competitive compensation packages with equity, flexible schedules, and cutting-edge benefits.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams to develop hybrid quantum-classical AI systems
- Conduct groundbreaking research in quantum neural networks and optimization
- Publish findings in top-tier journals and present at international conferences
- Collaborate with hardware teams to optimize quantum AI implementations
- Secure and manage research grants from government and private entities
- Mentor junior researchers and contribute to lab's innovation roadmap
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
- 5+ years in quantum algorithms or advanced AI research
- Expertise in Python, C++, and quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum information
- Strong background in linear algebra, probability, and quantum mechanics
- Experience with high-performance computing environments
- Proven track record of translating theoretical research into practical solutions
- Excellent communication and leadership abilities