Job Description
Join Nexus Quantum Systems at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's grandest challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. We foster a culture of radical innovation where your expertise directly impacts global progress.
Responsibilities
- Design and implement quantum machine learning frameworks for complex data optimization
- Develop error-corrected quantum circuits with hybrid classical-quantum architectures
- Lead cross-functional teams in prototyping quantum-AI solutions for healthcare and climate modeling
- Publish cutting-edge research in top-tier journals and industry conferences
- Collaborate with MIT and Stanford on quantum supremacy benchmarks
- Optimize quantum algorithms for real-time deployment on D-Wave and IBM systems
- Mentor junior researchers in quantum information theory
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum circuit design and error correction techniques
- Proficiency in Qiskit, Cirq, or quantum programming frameworks
- Strong background in machine learning (PyTorch/TensorFlow) and classical optimization
- Published research in quantum machine learning or quantum algorithms
- Experience with superconducting qubit systems or trapped ion platforms
- Demonstrated ability to translate complex quantum concepts into practical applications