Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration systems for 2026 and beyond. We're seeking visionary Quantum AI Research Engineers to develop next-generation algorithms that redefine computational boundaries. Our cross-disciplinary team operates at the intersection of quantum mechanics, machine learning, and neuromorphic engineering in a state-of-the-art facility overlooking the Bay. Enjoy unparalleled R&D resources, collaborative innovation sessions with Nobel laureate advisors, and flexible work arrangements designed for peak productivity.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop error-correction protocols for quantum neural networks
- Optimize qubit architectures for real-time AI inference
- Lead experimental validation of quantum-AI hybrid systems
- Collaborate with hardware teams on photonic and superconducting qubit integration
- Publish breakthrough research in top-tier journals/conferences
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Publication record in quantum computing or quantum machine learning
- Experience with quantum hardware platforms (IBM Quantum, Rigetti)
- Strong background in linear algebra and quantum information theory
- Demonstrated ability to lead complex R&D projects