Job Description
Join NexusLabs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. Our Quantum AI Research Engineers are redefining computational boundaries, developing next-gen algorithms that solve previously unsolvable problems. This role offers unparalleled opportunities to work with cutting-edge quantum hardware, collaborate with Nobel laureates, and shape the future of AI-driven quantum solutions.
We offer a competitive compensation package, flexible work arrangements, and access to state-of-the-art research facilities in our downtown San Francisco innovation hub. Be part of a team that's not just predicting the future—we're building it.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical AI models for real-world applications
- Collaborate with hardware teams to prototype quantum neural networks
- Lead research initiatives in quantum-enhanced data analysis
- Publish breakthrough findings in top-tier scientific journals
- Mentor junior researchers in quantum computing methodologies
- Secure patents for novel quantum AI architectures
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience considered)
- 3+ years in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Strong background in AI/ML frameworks (TensorFlow, PyTorch)
- Published research in quantum computing or quantum information theory
- Experience with superconducting quantum processors or ion trap systems
- Deep understanding of quantum error correction protocols