Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems. Our multidisciplinary team is redefining computational boundaries, and we seek a visionary Quantum AI Research Engineer to architect next-gen algorithms that solve previously impossible challenges. You'll work in our state-of-the-art San Francisco lab collaborating with Nobel laureates, publish breakthrough research, and directly influence the quantum computing roadmap.
We offer competitive equity, flexible remote options, and unparalleled access to quantum hardware. This role represents the pinnacle of 2026's tech landscape – where quantum mechanics meets artificial intelligence.
Responsibilities
- Design and implement quantum algorithms for AI acceleration
- Develop hybrid quantum-classical machine learning frameworks
- Lead research on quantum error correction for large-scale systems
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish peer-reviewed papers and present at top-tier conferences
- Mentor junior researchers and drive technical strategy
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics
- 3+ years experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Publication record in quantum computing or AI research
- Strong background in linear algebra and quantum mechanics
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Proven ability to translate theoretical concepts into practical implementations