Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer quantum AI solutions for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that bridge quantum computing with machine learning. This role offers unparalleled opportunities to shape the future of artificial intelligence while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Lead breakthrough research in quantum neural networks and hybrid quantum-classical systems
- Collaborate with hardware teams to optimize quantum algorithms for next-generation processors
- Publish findings in top-tier journals and present at international conferences
- Drive patent development for novel quantum AI methodologies
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability, and quantum mechanics
- Track record of solving complex technical challenges with innovative solutions