Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum AI systems for 2026 and beyond. 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 for breakthrough innovation.
Responsibilities
- Design and implement quantum neural networks for advanced pattern recognition
- Lead cross-functional teams in prototyping hybrid quantum-classical models
- Develop error-correction protocols for large-scale quantum systems
- Collaborate with hardware teams to optimize quantum processor integration
- Publish peer-reviewed research in top-tier AI/quantum journals
- Secure federal and private research grants for experimental initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum algorithms (Qiskit, Cirq, or similar)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or AI ethics
- Strong background in linear algebra and quantum physics fundamentals
- Proven ability to secure research funding ($500k+ preferred)