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 work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors to develop next-gen algorithms that will redefine computing paradigms.
We offer competitive equity packages, unlimited PTO, and a budget for cutting-edge research tools. Your work will directly impact breakthroughs in drug discovery, climate modeling, and advanced cryptography. If you're passionate about pushing the boundaries of what's possible, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for large-scale computational problems
- Lead cross-functional teams in developing hybrid quantum-classical AI systems
- Publish groundbreaking research in peer-reviewed journals and industry conferences
- Optimize quantum circuits for real-world AI applications in finance and biotech
- Collaborate with hardware engineers to bridge software-hardware integration gaps
- Mentor junior researchers and drive innovation through internal hackathons
- Secure patents for novel quantum AI methodologies and architectures
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning libraries (PyTorch, TensorFlow) and classical AI optimization
- Published research in quantum algorithms or quantum machine learning
- Strong background in linear algebra, probability, and statistical modeling
- Experience with high-performance computing environments and GPU acceleration
- Demonstrated ability to translate theoretical concepts into practical implementations
- Proficiency in Python, C++, and quantum circuit design tools