Job Description
Join Nexus Labs at the frontier of 2026's technological revolution. We're pioneering quantum-AI fusion systems to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that redefine computational boundaries. Our state-of-the-art lab offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
We seek visionaries who thrive at the intersection of quantum physics and machine learning. You'll collaborate with Nobel laureates and industry disruptors in an environment where innovation isn't just encouraged—it's expected. If you're ready to shape the future of intelligent computing, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for NLP and optimization
- Develop hybrid quantum-classical computing architectures for enterprise applications
- Lead research initiatives in error correction for quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI system integration
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure federal and private research grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency in Python/C++ with quantum frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or related fields
- Experience with high-performance computing and GPU acceleration
- Demonstrated ability to translate theory into practical implementations
- Strong background in linear algebra and information theory
- Entrepreneurial mindset with 3+ years in R&D environments