Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Engineers to pioneer breakthroughs in quantum machine learning and computational intelligence. Our interdisciplinary team collaborates with NASA, Stanford, and MIT to develop quantum neural networks that will redefine artificial intelligence. This role offers unparalleled access to IBM Quantum System Two and cutting-edge GPU clusters in our state-of-the-art downtown facility. You'll contribute to projects that will power the next generation of autonomous systems, drug discovery platforms, and climate modeling simulations.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for machine learning applications
- Develop error-corrected quantum neural networks using Qiskit and Cirq frameworks
- Collaborate with hardware engineers to optimize quantum circuits for real-world AI workloads
- Lead research publications in Nature Quantum Information and IEEE Quantum Journals
- Mentor junior researchers in quantum computing best practices
- Secure $1M+ in government and corporate research grants
- Partner with industry leaders to implement quantum AI solutions in finance and healthcare
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS, ICML)
- Expertise in quantum error correction and fault-tolerant architectures
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Experience with high-performance computing clusters and GPU optimization
- Demonstrated ability to translate theoretical research into practical applications
- US citizenship required for government collaboration projects