Job Description
Join Nexus Quantum Technologies at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Engineer to develop groundbreaking algorithms that merge quantum computing with artificial intelligence. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art lab, pushing the boundaries of computational science to solve humanity's most complex challenges.
Our team operates at the intersection of quantum physics, machine learning, and high-performance computing. We offer competitive equity packages, unlimited PTO, and access to cutting-edge quantum hardware. Shape the future of technology with us.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural networks with 100+ qubit processors
- Optimize quantum circuit performance for AI workloads using error mitigation techniques
- Collaborate with hardware teams to translate theoretical models into practical implementations
- Publish research in top-tier journals (Nature, Science) and present at IEEE conferences
- Mentor junior researchers in quantum programming frameworks (Qiskit, Cirq)
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum machine learning
- Proficiency in quantum programming languages (Q#, Qiskit) and Python frameworks
- Strong background in linear algebra, probability, and statistical mechanics
- Publication record in quantum computing or AI research
- Experience with cloud-based quantum platforms (IBM Quantum, AWS Braket)