Job Description
Join the quantum revolution at NexGen Quantum Labs, where we're pioneering the intersection of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for pushing the limits of quantum machine learning, cryptography, and optimization problems. This role offers competitive equity, flexible hybrid work, and the opportunity to work with Nobel Prize-winning researchers on projects that will shape 2030's technological landscape.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for complex optimization problems
- Develop quantum machine learning models leveraging error-corrected qubit systems
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Lead research on quantum neural networks and quantum-enhanced deep learning frameworks
- Publish breakthrough findings in top-tier journals and industry conferences
- Secure federal and private research grants for quantum AI initiatives
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Strong background in machine learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Published research in quantum algorithms or quantum machine learning
- Experience with quantum hardware interfaces (IBM Quantum, Rigetti, IonQ)
- Proficiency in Python/C++ and parallel computing architectures
- Deep understanding of quantum error correction and fault-tolerant computing principles