Job Description
Join the Architects of Tomorrow
Nexus 2026 Labs is at the forefront of the quantum revolution. We are not just building the technology of 2026; we are defining the future of computation. We are seeking a visionary Senior Quantum AI Research Engineer to bridge the gap between classical machine learning and quantum mechanics. In this role, you will lead the development of next-generation algorithms capable of solving complex optimization problems that are currently intractable for classical computers.
Why Join Us?
- Impactful Work: Your code will be the foundation of the AI models powering industries of the future.
- Innovation: Work with state-of-the-art quantum hardware and cloud simulators.
- Growth: A dynamic environment with top-tier researchers and generous equity packages.
If you are passionate about pushing the boundaries of what is possible in AI and Quantum Computing, we want to hear from you.
Responsibilities
- Algorithm Development: Design, implement, and optimize quantum algorithms for machine learning tasks, including variational quantum eigensolvers and quantum neural networks.
- Hybrid Modeling: Create hybrid classical-quantum models to enhance model performance and stability.
- Research Publication: Publish high-impact research papers in top-tier conferences (NeurIPS, ICML, Nature Physics) and contribute to open-source quantum computing libraries.
- Hardware Collaboration: Work closely with quantum hardware engineering teams to ensure algorithmic compatibility with emerging quantum processors.
- Mentorship: Lead and mentor junior researchers and interns, fostering a culture of scientific excellence and curiosity.
- Proof of Concepts: Build scalable Proof of Concepts (PoCs) for commercial applications of quantum AI.
Qualifications
- Education: Ph.D. in Computer Science, Physics, Mathematics, or a related field (or equivalent industry experience).
- Experience: 5+ years of experience in machine learning, data science, or quantum computing research.
- Technical Skills: Proficiency in Python, C++, and quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Mathematical Background: Strong understanding of linear algebra, probability theory, and quantum mechanics.
- Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Problem Solving: Proven track record of solving novel problems in high-pressure, research-driven environments.