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 hybrid quantum-computing frameworks that will redefine machine learning paradigms. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate breakthroughs in quantum algorithms, neural network optimization, and cryptographic security.
Responsibilities
- Design and implement novel quantum-computing architectures for AI applications
- Lead cross-functional teams to integrate quantum processors with classical neural networks
- Develop proprietary algorithms for quantum-enhanced data analysis and pattern recognition
- Collaborate with hardware engineers to optimize quantum error correction protocols
- Publish groundbreaking research in top-tier journals and industry conferences
- Secure patents for quantum AI innovations with commercial potential
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Deep expertise in machine learning algorithms and neural network architectures
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing environments
- Strong publication record in quantum information science or AI research
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations