Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As our Quantum AI Research Lead, you'll architect next-gen algorithms merging quantum supremacy with machine learning innovation. Collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling in our state-of-the-art San Francisco facility. This role offers unparalleled autonomy to explore uncharted territories of quantum neural networks and real-world implementation.
We provide competitive equity packages, flexible hybrid work, and dedicated R&D budget for your breakthrough projects. Shape the future while solving humanity's most complex challenges.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational breakthroughs
- Lead cross-functional teams in developing quantum neural network architectures
- Translate theoretical quantum models into deployable machine learning solutions
- Secure $5M+ in research grants and industry partnerships
- Publish top-tier papers in Nature/Science journals
- Mentor PhD researchers in quantum machine learning methodologies
- Drive ethical frameworks for quantum-AI deployment
Qualifications
- PhD in Quantum Computing, AI, or related field (10+ years industry experience)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Qiskit, Cirq, or equivalent quantum frameworks
- Proven track record of leading $10M+ research initiatives
- Deep understanding of quantum error correction and fault tolerance
- Experience with cloud quantum platforms (IBM Quantum, AWS Braket)
- Strong background in Python, TensorFlow/PyTorch, and high-performance computing