Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering hybrid quantum-neural systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the next generation of AI infrastructure while working with Nobel-caliber researchers in our state-of-the-art San Francisco facility.
We provide industry-leading benefits including equity grants, unlimited learning stipends, and flexible work arrangements that support breakthrough innovation. Our interdisciplinary teams collaborate across quantum physics, machine learning, and ethics to develop responsible AI solutions.
Responsibilities
- Design and implement quantum neural network architectures for next-gen AI models
- Develop hybrid quantum-classical algorithms for exponential computational acceleration
- Lead cross-functional research initiatives in quantum machine learning applications
- Publish breakthrough research in top-tier scientific journals and conferences
- Collaborate with hardware teams to optimize quantum-AI system integration
- Mentor junior researchers and drive innovation in quantum AI ethics frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 3+ years research experience
- Proven expertise in quantum algorithms and quantum error correction techniques
- Publication record in Nature/Science or equivalent-tier journals
- Proficiency in Python, Qiskit, TensorFlow Quantum, and Cirq frameworks
- Demonstrated ability to lead complex technical projects from conception to deployment
- Strong background in high-performance computing and distributed systems
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)