Job Description
Shape the future of technology as a Quantum AI Research Scientist at Nexus Dynamics. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's greatest challenges by 2026. Join our elite team of visionaries in developing next-generation algorithms that will redefine computational boundaries.
About the Role: Lead cutting-edge research in quantum machine learning, develop novel hybrid quantum-classical architectures, and collaborate with industry leaders to deploy breakthrough solutions. This is your opportunity to work at the forefront of technological innovation with state-of-the-art quantum hardware.
Why Nexus Dynamics? We offer competitive compensation, unlimited PTO, comprehensive wellness programs, and a dynamic environment where your ideas can transform industries. Our San Francisco hub features advanced quantum labs and collaborative spaces designed for breakthrough thinking.
Responsibilities
- Design and implement quantum algorithms for AI/ML applications
- Lead research in quantum neural networks and quantum-enhanced optimization
- Develop hybrid quantum-classical frameworks for real-world problem solving
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish research in top-tier journals and present at international conferences
- Secure research grants and partnerships with leading quantum institutions
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Strong background in machine learning and high-performance computing
- Published research in quantum information science or AI
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to secure research funding or industry partnerships
- Exceptional problem-solving skills and innovative mindset