Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer the next generation of Quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to develop breakthrough algorithms that will redefine computing by 2026. Our multidisciplinary team operates at the intersection of quantum physics, machine learning, and distributed systems, pushing the boundaries of what's possible in computational science.
Located in San Francisco's innovation district, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art research facilities. We offer competitive compensation, flexible work arrangements, and unparalleled opportunities to shape the future of technology.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop error-corrected quantum computing protocols for large-scale data processing
- Lead cross-functional research teams in prototyping quantum-AI hybrid systems
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Collaborate with hardware teams to optimize quantum circuit designs
- Secure government and private research grants for next-generation projects
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and quantum ML
- Published research in quantum algorithms or quantum machine learning
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)