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 breakthrough algorithms in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. This isn't just a job—it's your chance to shape the next era of computational science.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Lead cross-functional teams in developing quantum neural networks
- Optimize quantum algorithms for commercial deployment on 50+ qubit systems
- Publish breakthrough research in top-tier journals and conferences
- Secure $2M+ in government/private research funding
- Mentor PhD candidates in quantum-AI integration projects
- Develop patent-pending quantum optimization techniques
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (TensorFlow/PyTorch)
- Published research in quantum machine learning or related fields
- Proficiency in Python/C++ with low-level optimization skills
- Experience with quantum hardware (IBM Quantum, Rigetti, or IonQ)
- Strong background in quantum error correction protocols
- Track record of securing research grants