Job Description
Join Nexus Quantum Solutions at the forefront of 2026's technological revolution as a Quantum AI Systems Engineer. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role demands a visionary architect to design hybrid quantum-classical systems that will redefine computational boundaries by 2026.
Our dynamic team operates at the intersection of physics, machine learning, and software engineering. You'll collaborate with Nobel laureates and Silicon Valley innovators to deploy quantum neural networks, optimize quantum machine learning algorithms, and develop fault-tolerant quantum processors. We offer competitive equity, unlimited PTO, and access to cutting-edge quantum hardware labs.
Responsibilities
- Design and implement quantum AI frameworks for real-world optimization problems
- Develop error-corrected quantum circuits for machine learning acceleration
- Architect hybrid quantum-classical computing architectures for enterprise applications
- Lead research on quantum neural networks and quantum-enhanced deep learning
- Optimize quantum algorithms for scalability on 1000+ qubit systems
- Collaborate with hardware teams to co-design quantum processors
- Publish breakthrough research in quantum AI and secure patents
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum software engineering
- Expertise in Qiskit, Cirq, or Q# with 50+ quantum circuits deployed
- Deep understanding of quantum error correction and fault tolerance
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or quantum information theory
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)