Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum AI Research Engineer. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this role, you'll develop next-generation quantum algorithms, optimize hybrid AI-quantum systems, and contribute to breakthroughs in drug discovery, climate modeling, and materials science. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture of relentless innovation. If you're passionate about shaping the future of computational science, we want you on our team.
Responsibilities
- Design and implement novel quantum machine learning algorithms for real-world applications
- Optimize quantum circuits for hybrid AI-quantum computing architectures
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
- Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
- Develop quantum error mitigation techniques for scalable AI applications
- Publish findings in top-tier journals and present at international conferences
- mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and AI frameworks (PyTorch, TensorFlow)
- Expertise in quantum algorithms, quantum error correction, and quantum machine learning
- Strong background in high-performance computing and distributed systems
- Proven track record of publishing peer-reviewed research in quantum/AI domains
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Exceptional problem-solving skills and ability to work in fast-paced research environments