Job Description
Join Nexus Quantum Solutions at the forefront of technological revolution as we pioneer the next generation of AI-quantum hybrid systems. Our multidisciplinary team is developing groundbreaking algorithms that will redefine computational capabilities by 2026. This role offers unparalleled opportunity to shape the future of artificial intelligence while working with Nobel Prize-winning researchers and state-of-the-art quantum infrastructure.
We provide comprehensive benefits including stock options, unlimited PTO, and flexible hybrid work arrangements. Our downtown San Francisco campus features quantum labs, AI training facilities, and collaborative workspaces designed for innovation.
Responsibilities
- Design and implement novel quantum machine learning algorithms for next-gen AI systems
- Lead cross-functional research initiatives combining quantum computing with neural networks
- Develop scalable quantum AI models for real-world applications in finance and healthcare
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior researchers and contribute to open-source quantum AI frameworks
- Collaborate with hardware teams to optimize quantum-AI integration protocols
- Secure research funding through grant proposals and industry partnerships
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in Python, Qiskit, and quantum simulation frameworks
- Strong publication record in quantum machine learning or AI research
- Deep understanding of quantum error correction and coherence challenges
- Experience with high-performance computing environments and GPU acceleration
- Demonstrated ability to translate complex research into commercial applications
- Passion for ethical AI development and quantum democratization