Job Description
Join Nexus Quantum Technologies at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to architect the next generation of hybrid quantum-neural systems. This role offers unparalleled opportunity to pioneer breakthroughs in quantum machine learning while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab.
Your work will directly impact Fortune 500 clients across finance, healthcare, and logistics, solving previously unsolvable optimization problems. We provide competitive compensation, comprehensive benefits, and a culture where innovation thrives.
Responsibilities
- Design and implement novel quantum algorithms for AI acceleration
- Lead hybrid quantum-classical neural network architectures
- Develop quantum-enhanced optimization models for complex systems
- Collaborate with hardware teams to prototype quantum processors
- Publish peer-reviewed research in top-tier journals
- Secure $2M+ in government/industry research grants
- Mentor cross-functional teams in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Track record of translating theoretical models into practical applications
- Strong background in linear algebra and quantum mechanics