Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution! We're pioneering quantum AI systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-gen algorithms for climate modeling, drug discovery, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit quantum processors and exascale computing clusters.
We value bold thinkers who thrive at the intersection of quantum physics, machine learning, and ethical AI. Your work will directly impact global sustainability initiatives and accelerate breakthroughs previously deemed impossible. Enjoy competitive equity packages, flexible research grants, and a culture that celebrates intellectual curiosity.
Responsibilities
- Design and implement quantum machine learning algorithms for complex system optimization
- Lead cross-functional teams in developing fault-tolerant quantum computing architectures
- Publish groundbreaking research in top-tier journals (Nature, Science, IEEE)
- Collaborate with climate scientists to model quantum-enhanced carbon capture systems
- Secure $2M+ annual research grants from NSF and DARPA
- Mentor PhD candidates in quantum information science
- Develop ethical frameworks for quantum AI deployment
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 5+ years experience with quantum algorithms and error correction
- Published research in quantum machine learning or quantum chemistry
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Strong background in tensor networks and quantum simulation
- Experience securing federal research grants
- Deep understanding of NISQ-era limitations and mitigation strategies
- Track record of translating theoretical models to practical implementations