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 develop next-gen algorithms that merge quantum computing with artificial intelligence to revolutionize drug discovery, climate modeling, and autonomous systems. Our state-of-the-art facility in San Francisco offers unmatched resources to push computational boundaries while collaborating with Nobel laureates and industry pioneers.
We offer competitive compensation, unlimited PTO, comprehensive health benefits, and equity in our fast-growing unicorn. Shape the future of computational science with a team that values intellectual curiosity, bold innovation, and collaborative excellence.
Responsibilities
- Design and implement quantum machine learning algorithms for complex problem-solving
- Develop hybrid quantum-classical neural networks with 100+ qubit processing capabilities
- Lead cross-functional research teams in quantum optimization and AI model training
- Publish breakthrough findings in top-tier journals and present at international conferences
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Secure multi-million dollar research grants from government and private sector partners
- Mentor junior researchers and contribute to open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq)
- Expertise in advanced AI/ML frameworks (PyTorch, TensorFlow) and high-performance computing
- Published research in quantum machine learning or related fields
- Strong background in quantum error correction and fault-tolerant architectures
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations