Job Description
Join Nexus Futuristics at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing groundbreaking solutions for climate modeling, drug discovery, and autonomous systems. This role offers unparalleled opportunity to shape the future of computational science while working alongside Nobel laureates and industry pioneers in our state-of-the-art San Francisco laboratory.
We offer competitive compensation, comprehensive benefits including equity, flexible work arrangements, and dedicated innovation time for personal projects. Our culture values intellectual curiosity, collaborative problem-solving, and sustainable impact.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Conduct experimental validation of quantum hardware performance metrics
- Author peer-reviewed publications and contribute to open-source quantum libraries
- Collaborate with product teams to commercialize quantum-AI solutions
- Mentor junior researchers and supervise graduate-level interns
- Secure federal and private research funding through grant proposals
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Proficiency in quantum programming languages (Q#, Qiskit, or Cirq)
- Published work in quantum computing or machine learning in top-tier venues
- Strong background in linear algebra, probability theory, and statistical modeling
- Experience with superconducting or photonic quantum computing platforms
- Proven ability to translate complex theoretical concepts into practical implementations
- Demonstrated success in securing research grants or industry partnerships