Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI convergence. We're seeking visionary research leaders to develop next-gen algorithms that will redefine computational boundaries. This role offers unparalleled resources to explore uncharted territories in quantum machine learning, with direct impact on industries from biotech to space exploration.
Our state-of-the-art facility in San Francisco's innovation hub provides collaborative spaces with cutting-edge quantum processors and AI supercomputers. You'll work alongside Nobel laureates and Turing Award winners in an environment that encourages bold experimentation.
Responsibilities
- Lead R&D initiatives in quantum neural networks and hybrid quantum-classical AI systems
- Develop novel algorithms for quantum error correction and fault-tolerant computing
- Collaborate with NASA and DARPA on quantum-secured space communication protocols
- Mentor cross-functional teams of quantum physicists and ML engineers
- Secure $10M+ in grants from NSF and DoE for frontier research projects
- Publish breakthrough findings in Nature Physics and Science Robotics
Qualifications
- PhD in Quantum Computing, Physics, or AI with 5+ years industry research
- Published work on quantum machine learning or quantum algorithms
- Experience with quantum programming languages (Qiskit, Cirq, or Quipper)
- Track record of securing government research grants
- Expertise in tensor networks and quantum circuit optimization
- Strong background in topological quantum computing or quantum supremacy experiments