Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking visionary Quantum AI Research Scientists to develop revolutionary algorithms that will redefine computational capabilities by 2026. This role offers unparalleled opportunities to shape the future of machine learning, cryptography, and autonomous systems in our state-of-the-art San Francisco facility.
Why Nexus Labs? We're not just preparing for 2026—we're actively creating it. Our multidisciplinary teams collaborate with MIT, Stanford, and IBM research divisions to accelerate breakthroughs in quantum machine learning. Enjoy competitive compensation, flexible work arrangements, and a culture that celebrates intellectual curiosity.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications in finance, healthcare, and logistics
- Lead cross-functional R&D projects integrating quantum computing with neural networks
- Develop hybrid quantum-classical systems for optimized computational efficiency
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware teams to co-design quantum processors for AI workloads
- Mentor junior researchers and contribute to open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 3+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum error correction
- Proficiency in quantum programming languages (Qiskit, Cirq) and ML frameworks (TensorFlow Quantum)
- Published research in quantum machine learning or related fields
- Experience with high-performance computing clusters and distributed systems
- Strong background in linear algebra, probability theory, and quantum mechanics
- Ability to translate complex quantum concepts into practical business solutions