Job Description
Join Nexus Future Technologies at the forefront of computational revolution. We're pioneering quantum machine learning systems to solve humanity's most complex challenges by 2026. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that transcend classical computing boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. We value intellectual curiosity, collaborative innovation, and a relentless drive to push scientific frontiers. Enjoy competitive benefits, flexible work arrangements, and the opportunity to shape the future of artificial intelligence.
Responsibilities
- Design and implement quantum neural networks for unsupervised learning applications
- Develop hybrid quantum-classical algorithms for optimization problems in logistics and drug discovery
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Collaborate with hardware teams to optimize quantum circuit architectures
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum programming frameworks (Qiskit, Cirq)
- Strong background in machine learning frameworks (TensorFlow, PyTorch) with 5+ years implementation experience
- Proven track record of publishing in Nature/Science journals or top-tier conferences (NeurIPS, ICML)
- Proficiency in high-performance computing environments and GPU acceleration
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Exceptional problem-solving skills for complex interdisciplinary challenges