Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary researchers to transform theoretical quantum computing into practical AI solutions that will redefine industries. Our state-of-the-art facility in San Francisco offers an unparalleled environment for groundbreaking work, with competitive benefits and flexible arrangements to fuel your innovation.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical neural network architectures
- Lead cross-functional teams in prototyping next-gen AI systems
- Publish research in peer-reviewed journals and industry conferences
- Collaborate with hardware teams to optimize quantum coherence times
- Secure $2M+ in annual research grants and partnerships
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years of experience in quantum machine learning
- Proficiency in Qiskit, Cirq, or similar quantum frameworks
- Published research in Nature/Science or equivalent tier journals
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with superconducting qubit systems or photonic processors
- Track record of translating theory into commercial applications