Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to architect next-generation computational paradigms that will redefine industries. This role offers unparalleled resources to explore uncharted territories in quantum machine learning, with direct impact on autonomous systems, climate modeling, and biotech innovation.
Our state-of-the-art facility in San Francisco's innovation hub provides access to quantum processors, neural network accelerators, and a cross-disciplinary team of Nobel laureates and industry disruptors. You'll collaborate with Fortune 500 partners to prototype solutions that solve humanity's most complex challenges.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop hybrid quantum-classical neural architectures for 2026-era applications
- Lead research in quantum error correction for scalable AI systems
- Collaborate with biotech teams to simulate molecular interactions using quantum computing
- Author breakthrough publications in top-tier journals and conferences
- Mentor junior researchers and foster cross-functional innovation
- Secure $2M+ annual research grants from DARPA and NSF
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, probability theory, and information theory
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Proven track record of translating theoretical models to experimental prototypes
- Exceptional problem-solving skills for multi-variable complex systems