Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that bridge quantum computing and artificial intelligence. In this pivotal role, you'll collaborate with world-class researchers to transform theoretical concepts into scalable applications that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and innovation.
What You'll Achieve:
You will lead the design and implementation of hybrid quantum-classical machine learning models, conduct cutting-edge research in quantum neural networks, and publish breakthrough findings in top-tier journals. Your work will directly influence our product roadmap for 2026, ensuring we stay ahead of the technology curve. We offer competitive compensation, comprehensive benefits, and a dynamic environment where your ideas can shape the future.
Responsibilities
- Design and implement quantum algorithms optimized for AI applications
- Lead research initiatives in quantum machine learning and neural networks
- Develop prototypes and validate quantum-AI hybrid systems
- Collaborate with hardware teams to optimize quantum computing workflows
- Present findings to technical stakeholders and industry partners
- Contribute to 2026 technology roadmap and patent applications
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in Python, TensorFlow/PyTorch, and quantum frameworks (Qiskit, Cirq)
- Strong background in machine learning and neural networks
- Published research in quantum computing or AI (NeurIPS, ICML, etc.)
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)
- Ability to translate complex concepts into actionable technical strategies