Job Description
Join Nexus Quantum Labs at the forefront of computational evolution. We're pioneering quantum-AI fusion to solve humanity's most complex challenges in drug discovery, climate modeling, and materials science. Our interdisciplinary team leverages proprietary quantum processors and generative AI frameworks to create solutions previously deemed impossible. This is your chance to shape the technological landscape of 2026 and beyond.
Located in San Francisco's innovation corridor, we offer competitive compensation, flexible work arrangements, and access to cutting-edge quantum hardware. Our culture values audacious thinking, rigorous experimentation, and collaborative breakthroughs.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for computational acceleration
- Develop error-correction protocols for fault-tolerant quantum systems
- Collaborate with materials scientists to simulate molecular interactions at quantum scale
- Optimize machine learning models for quantum processing units (QPUs)
- Lead research publications in quantum computing and AI fusion domains
- Prototype novel quantum neural network architectures
- Mentor junior researchers in quantum programming best practices
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum algorithms or quantum machine learning
- Deep understanding of quantum entanglement and superposition principles
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra and probability theory