Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that push the boundaries of computational possibility. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources for groundbreaking research.
We foster a collaborative environment where PhD-level researchers work alongside industry veterans to develop quantum neural networks, error-corrected algorithms, and hybrid quantum-classical systems. This role offers competitive compensation, equity, and the opportunity to publish in top-tier journals while contributing to patents that will shape the next decade of technological advancement.
Responsibilities
- Design and implement novel quantum machine learning algorithms for real-world applications
- Develop error mitigation protocols for NISQ-era quantum processors
- Lead cross-functional teams in prototyping quantum-classical hybrid systems
- Collaborate with hardware engineers to optimize quantum circuit architectures
- Translate theoretical research into scalable production-ready solutions
- Author peer-reviewed publications and contribute to open-source quantum frameworks
- Secure external funding through NSF and DoE grant applications
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Publication record in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Proven ability to lead technical projects with measurable outcomes
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability, and complexity theory