Job Description
Join Nexus Quantum Technologies at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computing. As a Quantum AI Research Engineer, you'll collaborate with Nobel laureates and develop breakthrough algorithms in our state-of-the-art San Francisco lab. Enjoy flexible schedules, unlimited learning stipends, and equity in a company valued at $2B+.
Responsibilities
- Design quantum neural networks for real-time data processing
- Develop error-corrected qubit architectures at room temperature
- Optimize AI-quantum hybrid algorithms for enterprise applications
- Lead cross-functional teams in prototyping next-gen computing models
- Publish research in Nature/Science journals and contribute to open-source quantum frameworks
- Secure $5M+ in government grants for advanced quantum initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum circuit design (Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) applied to quantum systems
- Published papers in quantum computing or quantum machine learning
- Proficiency in low-level quantum hardware programming (FPGA, cryogenic interfaces)
- Strong background in topological quantum error correction codes
- Ability to secure DOE/NIST quantum research grants preferred