Job Description
Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of artificial intelligence, cryptography, and material science.
Our state-of-the-art Quantum Neural Lab in San Francisco provides cutting-edge resources including 256-qubit processors and proprietary error-correction frameworks. You'll lead initiatives in quantum machine learning, topological quantum computing, and fault-tolerant architectures while mentoring a diverse team of quantum engineers.
Responsibilities
- Design and implement novel quantum algorithms for optimization problems in logistics, finance, and drug discovery
- Develop error-correction protocols for 100+ qubit quantum processors
- Lead research in quantum neural networks and hybrid quantum-classical systems
- Collaborate with hardware teams to co-design quantum processors with native AI acceleration
- Publish breakthrough research in Nature Physics/Quantum journals and present at IEEE Quantum Week
- Secure $5M+ in NSF and DARPA quantum computing grants
- Mentor PhD interns in quantum algorithm development and quantum supremacy demonstrations
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry research
- Published author in top-tier quantum computing journals (Nature/Science/Quantum)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and circuit optimization
- Proven track record of developing quantum algorithms with real-world applications
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience with quantum hardware (IBM Quantum, Rigetti, IonQ) and cloud quantum platforms
- Strong background in machine learning frameworks (PyTorch/TensorFlow) for quantum hybrid models