Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next wave of quantum artificial intelligence. Our interdisciplinary team in San Francisco is developing revolutionary AI systems that will redefine human-computer interaction by 2026. This role offers unparalleled opportunity to shape the future of computational intelligence while working with state-of-the-art quantum processors and neural networks.
We offer competitive compensation, cutting-edge resources, and a collaborative environment where your breakthrough ideas can transform industries. As part of our 2026 initiative, you'll contribute to projects that will power autonomous systems, climate modeling, and personalized medicine.
Responsibilities
- Design and implement quantum algorithms for next-generation AI systems
- Lead research in quantum machine learning and neural network optimization
- Develop hybrid quantum-classical computing architectures for real-world applications
- Collaborate with hardware engineers to bridge quantum computing and AI capabilities
- Publish findings in leading scientific journals and present at international conferences
- Mentor junior researchers and drive innovation in quantum AI methodologies
- Translate theoretical research into deployable solutions for industry partners
Qualifications
- PhD in Quantum Computing, AI, Physics, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, etc.)
- Deep expertise in machine learning frameworks (PyTorch, TensorFlow) and neural network architectures
- Strong background in quantum algorithms and quantum error correction
- Published research in quantum computing or AI at top-tier conferences
- Experience with high-performance computing environments and parallel processing
- Proven ability to translate complex theoretical concepts into practical applications
- Excellent communication skills for cross-functional collaboration