Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence solutions that will redefine computational paradigms. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms at the intersection of quantum mechanics and artificial intelligence, working with our elite team to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative spaces where innovation thrives.
We value intellectual curiosity as much as technical prowess. Here, your ideas will directly shape the next generation of intelligent systems, with opportunities to publish groundbreaking research and contribute to open-source quantum frameworks. If you're passionate about pushing beyond current technological boundaries, this is your calling.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for 2026-era applications
- Lead research initiatives in quantum neural networks and quantum-enhanced optimization algorithms
- Collaborate with cross-functional teams to prototype and validate quantum AI solutions
- Develop novel error mitigation techniques for practical quantum computing implementations
- Author white papers and contribute to peer-reviewed publications in top-tier journals
- Mentor junior researchers and foster a culture of experimental innovation
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or similar)
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and classical ML optimization
- Proven track record of publishing high-impact research in quantum/AI convergence
- Strong mathematical foundations in linear algebra, probability, and quantum information theory
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Ability to translate complex theoretical concepts into practical implementations