Job Description
Join Nexus Future Labs at the frontier of technological evolution as we pioneer the next wave of innovation in quantum artificial intelligence. We seek visionary researchers to architect the computational paradigms of 2026 and beyond. Our interdisciplinary team operates at the intersection of quantum mechanics, machine learning, and nanotechnology to solve humanity's most complex challenges. This role offers unparalleled resources to transform theoretical breakthroughs into tangible solutions that will redefine industries.
Located in San Francisco's thriving tech ecosystem, you'll collaborate with Nobel laureates and industry disruptors in state-of-the-art facilities. We provide competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement quantum algorithms leveraging AI/ML frameworks for 2026-era applications
- Lead cross-functional teams in developing hybrid quantum-classical computing architectures
- Author peer-reviewed publications and patents in quantum AI methodologies
- Partner with hardware engineers to optimize quantum system performance
- Develop ethical frameworks for next-generation autonomous systems
- Secure $5M+ in research funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computational Science with 3+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Publication record in Nature/Science or equivalent tier journals
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Demonstrated success in securing government research grants
- Experience with cryogenic quantum computing systems
- Strong background in theoretical computer science and complexity theory