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. Our multidisciplinary team operates at the intersection of quantum computing, machine learning, and predictive analytics. You'll architect breakthrough systems that redefine computational boundaries in cryptography, optimization, and autonomous systems. We offer cutting-edge resources, flexible innovation time, and collaboration with Nobel-caliber researchers in our state-of-the-art downtown San Francisco lab.
Responsibilities
- Design and implement quantum algorithms for next-gen AI model training
- Develop hybrid quantum-classical frameworks for real-time data processing
- Lead research initiatives in error correction and quantum resilience
- Collaborate with hardware teams to optimize quantum-AI system integration
- Publish breakthrough findings in top-tier journals and conferences
- Drive patent development for proprietary quantum-AI methodologies
- Mentor junior researchers in quantum machine learning techniques
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Strong publication record in quantum/AI research
- Expertise in tensor networks and quantum circuit optimization
- Experience with cloud-based quantum computing platforms (AWS Braket, IBM Quantum)
- Demonstrated ability to translate theoretical concepts into practical implementations