Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum-AI fusion systems to redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that leverage quantum mechanics and artificial intelligence to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative spaces where innovation thrives. We provide competitive equity packages, flexible work arrangements, and opportunities to publish breakthrough research in leading journals.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for optimization and machine learning applications
- Develop error-correction protocols for quantum processors operating at scale
- Collaborate with cross-functional teams to prototype quantum computing solutions
- Conduct peer-reviewed research on quantum neural networks and quantum machine learning
- Translate theoretical models into practical implementations using quantum programming languages
- Lead technical workshops and mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum programming
- Proficiency in quantum frameworks (Qiskit, Cirq, or PennyLane)
- Strong foundation in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum computing or AI at top-tier conferences/journals
- Demonstrated ability to work with complex mathematical concepts and linear algebra
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)