Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that merge quantum computing with neural networks, pushing the boundaries of computational intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative freedom. If you're passionate about transforming theoretical breakthroughs into real-world solutions, this is your moment to shape the future.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical neural network architectures
- Collaborate with cross-functional teams to integrate quantum solutions into AI pipelines
- Lead experimental validation of quantum advantage in real-world applications
- Publish cutting-edge research in top-tier journals and conferences
- Mentor junior researchers and drive innovation in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Published research in quantum information or quantum machine learning
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)