Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll develop next-generation algorithms that harness quantum entanglement for machine learning breakthroughs. Collaborate with Nobel laureates and innovators in our state-of-the-art lab, where your work will directly impact industries from healthcare to climate modeling. We offer competitive equity packages, flexible work arrangements, and unparalleled growth opportunities in the quantum frontier.
Responsibilities
- Design and implement quantum neural networks for advanced AI applications
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead experiments on quantum machine learning hardware platforms
- Collaborate with AI teams to integrate quantum solutions into production systems
- Research and mitigate quantum decoherence effects in practical applications
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and algorithm optimization
- Deep understanding of quantum error correction and fault-tolerant architectures
- Proven track record of publishing high-impact research in quantum/AI domains
- Experience with quantum hardware simulators and cloud quantum platforms
- Strong analytical skills and ability to translate complex theories into practical solutions