Job Description
Join Nexus Innovations at the forefront of 2026's quantum-AI convergence. We're pioneering the next wave of computational intelligence that will redefine industries by the end of this decade. Our interdisciplinary team is building revolutionary systems that merge quantum computing with advanced neural networks to solve humanity's most complex challenges.
This role offers unparalleled opportunity to shape the technological landscape of tomorrow. You'll collaborate with Nobel laureates and industry pioneers in a culture that values audacious thinking and rigorous execution. Our San Francisco campus features state-of-the-art labs, flexible work arrangements, and comprehensive benefits designed for innovators.
Responsibilities
- Lead research in quantum machine learning algorithms for 2026-scale computational challenges
- Develop hybrid quantum-classical neural architectures for real-world applications
- Design and execute large-scale experiments on quantum computing platforms
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor cross-functional teams of engineers and researchers
- Secure patents and intellectual property for novel quantum-AI methodologies
- Collaborate with product teams to translate research into commercial solutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in Python, TensorFlow/PyTorch, and quantum frameworks like Qiskit
- Publication record in top-tier conferences (NeurIPS, QIP, etc.)
- Deep understanding of quantum error correction and fault tolerance
- Proven ability to translate complex theoretical concepts into practical implementations
- Strong background in high-performance computing and distributed systems
- Passion for solving problems at the intersection of quantum physics and artificial intelligence