Job Description
Join Nexus Quantum Dynamics 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 redefine computational boundaries while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art lab in San Francisco offers unparalleled resources and an environment where your breakthrough ideas become reality.
We offer competitive equity packages, flexible hybrid work arrangements, and dedicated innovation time. Shape the future of technology with a team that values audacious thinking and relentless curiosity.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Lead cross-functional teams to integrate quantum processors with classical AI systems
- Develop novel error-correction techniques for quantum neural networks
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware teams to optimize quantum algorithm performance
- Secure federal and private funding for quantum-AI research initiatives
- Mentor junior researchers and drive innovation through hackathons
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years of hands-on quantum algorithm development
- Proficiency in quantum programming languages (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware platforms (IBM Q, Rigetti, or IonQ)
- Strong track record of securing research grants or patents