Job Description
Are you ready to architect the systems of tomorrow?
Nexus Horizon Labs is pioneering the infrastructure for the Year 2026 and beyond. We are looking for a visionary Senior AI & Quantum Systems Engineer to lead our advanced research division. In this role, you will be responsible for designing neural architectures that scale into the future, integrating quantum computing concepts with classical AI pipelines.
If you thrive in high-stakes environments, love solving unsolvable problems, and want to define the standard for artificial general intelligence (AGI), we want to meet you.
Responsibilities
- Architect and deploy scalable deep learning models designed for 2026 and future computing environments.
- Lead the integration of quantum algorithms into classical machine learning workflows to optimize processing speed.
- Mentor a team of junior engineers and data scientists, fostering a culture of innovation and rigorous scientific inquiry.
- Conduct research on emerging AI paradigms, including transformer models and neuromorphic computing.
- Collaborate with cross-functional teams to translate theoretical research into production-ready applications.
- Ensure data integrity, ethical AI practices, and robust security protocols in all system deployments.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related field with a focus on AI/Quantum Mechanics.
- 7+ years of professional experience in machine learning engineering, deep learning, or AI research.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Experience with quantum computing libraries (e.g., Qiskit, Cirq) or access to quantum hardware is a strong plus.
- Proven track record of publishing papers in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Strong leadership skills with the ability to manage complex technical projects from conception to execution.