Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. This role offers the unique opportunity to shape 2026's computational landscape while working in our state-of-the-art San Francisco incubator. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges through quantum machine learning breakthroughs.
We offer competitive equity packages, unlimited R&D budgets, and flexible work arrangements designed for peak innovation. Our culture values audacious thinking and celebrates paradigm-shifting discoveries.
Responsibilities
- Lead quantum algorithm development for 2026-era AI applications
- Design error-corrected quantum computing architectures
- Develop novel neural network models leveraging quantum entanglement
- Collaborate with hardware teams on qubit optimization
- Publish breakthrough research in top-tier journals/conferences
- Secure $10M+ in quantum computing grants
- Mentor PhD candidates in quantum-AI fusion research
Qualifications
- PhD in Quantum Computing, Physics, or AI with 5+ years research
- Published work in Nature/Science on quantum algorithms
- Proficiency in Qiskit, Cirq, or equivalent quantum frameworks
- Expertise in tensor networks and quantum machine learning
- Experience with superconducting qubit systems
- Track record of securing federal research grants
- Strong background in complex mathematical optimization