Job Description
Shape the future of human-machine collaboration at Nexus Quantum Labs. We're pioneering 2026's next-generation AI quantum interfaces and seek visionary researchers to redefine computational boundaries. Join our elite team in San Francisco's innovation hub, where you'll develop scalable quantum neural networks and pioneer ethical AI frameworks for emerging industries. Enjoy unparalleled resources, flexible work arrangements, and equity in a company valued at $2B+. Your work will directly influence how humanity interacts with artificial consciousness by 2026.
Responsibilities
- Design and implement hybrid quantum-classical machine learning architectures
- Lead cross-functional R&D on quantum neural network optimization
- Develop ethical AI governance frameworks for 2026 deployment scenarios
- Collaborate with MIT and Stanford on quantum-AI convergence projects
- Secure $50M+ in quantum computing grants and patents
- Mentor PhD candidates in quantum machine learning
- Present breakthrough findings at NeurIPS/Quantum Computing Summit
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum algorithms (Qiskit, Cirq)
- Published research in Nature/Science on quantum-AI integration
- Expertise in tensor networks and quantum error correction
- Deep learning proficiency (PyTorch/TensorFlow)
- Security clearance eligibility for government partnerships
- Fluency in Python/C++ with HPC optimization experience