Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026. We're seeking visionary researchers to develop next-gen algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. Collaborate with Nobel laureates and industry disruptors in an environment where your ideas shape humanity's digital future.
Responsibilities
- Design and implement quantum machine learning architectures for real-world applications
- Lead cross-functional teams to develop hybrid quantum-classical optimization algorithms
- Author peer-reviewed publications in top-tier journals/conferences
- Secure federal grants and private funding for cutting-edge research initiatives
- Mentor PhD candidates and junior researchers in quantum-AI methodologies
- Develop patentable innovations in quantum error correction and AI efficiency
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years of experience in quantum algorithm development or AI research
- Proficiency with quantum programming frameworks (Qiskit, Cirq) and ML frameworks (TensorFlow, PyTorch)
- Published research in Nature/Science or equivalent tier journals
- Expertise in quantum error correction and fault-tolerant systems
- Demonstrated ability to secure $1M+ in research funding
- Strong background in complex mathematical optimization techniques