Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We seek visionary Quantum AI Research Engineers to develop groundbreaking algorithms that will redefine computational boundaries. As a key member of our innovation hub, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to personalized medicine. Our state-of-the-art facility in San Francisco offers unparalleled resources, including 512-qubit quantum processors and exascale AI clusters. We provide competitive equity packages, flexible remote work options, and dedicated research time to explore uncharted territories of computational science.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing frameworks for enterprise-scale problems
- Lead cross-functional teams in deploying quantum-AI solutions across healthcare, logistics, and energy sectors
- Author peer-reviewed research publications and contribute to open-source quantum libraries
- Optimize quantum circuit architectures for error mitigation and scalability
- Collaborate with hardware teams to co-design next-generation quantum processors
- Secure $5M+ in annual research grants through innovative proposal development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Proven track record publishing in Nature/Science journals or top-tier conferences
- Proficiency in advanced Python frameworks (PyTorch, TensorFlow) and HPC environments
- Deep understanding of quantum error correction protocols and fault-tolerant architectures
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to secure government or corporate research funding
- Strong background in topological quantum computing or quantum neural networks