Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that bridge quantum computing and artificial intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications that will shape humanity's digital future.
What You'll Achieve:
You'll lead projects in quantum machine learning, develop hybrid quantum-classical systems, and collaborate with Nobel laureates to solve previously unsolvable computational challenges. Your work will directly impact fields from drug discovery to climate modeling, positioning Nexus Quantum Labs as the global leader in post-quantum innovation.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems
- Lead cross-functional teams in developing quantum neural network architectures
- Conduct cutting-edge research in quantum error correction and fault tolerance
- Publish findings in top-tier journals and present at international conferences
- Collaborate with hardware teams to prototype quantum-AI hybrid systems
- Secure patents for novel quantum machine learning methodologies
- Mentor junior researchers and foster an innovation-driven culture
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum information theory and complexity classes
- Proven ability to translate theoretical concepts into experimental prototypes
- Strong background in linear algebra, probability, and statistical modeling
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)