Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a pioneering Quantum AI Research Engineer to architect the future of hybrid quantum-classical intelligence systems. In this role, you'll develop breakthrough algorithms that leverage quantum computing's exponential potential to solve previously unsolvable AI challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources to push computational boundaries while collaborating with Nobel laureates and industry visionaries. This is your chance to shape the next era of human-machine symbiosis.
Responsibilities
- Design and implement quantum machine learning frameworks for neural network acceleration
- Develop error-corrected quantum circuits for real-time data processing pipelines
- Lead cross-functional teams in prototyping quantum-AI hybrid applications
- Optimize quantum algorithms for commercial deployment on cloud-based quantum processors
- Contribute to open-source quantum computing libraries and industry standards
- Secure and manage research partnerships with quantum hardware manufacturers
- Author peer-reviewed publications on quantum-AI convergence breakthroughs
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and circuit design
- Proven track record in quantum algorithm development for optimization problems
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Strong foundation in quantum error correction and fault-tolerant architectures
- Experience with cloud quantum platforms (AWS Braket, Azure Quantum, IBM Quantum)
- Published research in quantum machine learning or related fields