Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Future Systems is seeking a visionary Senior Quantum AI Research Engineer to pioneer the next generation of artificial general intelligence (AGI). As we prepare for the technological paradigm shift of 2026, we need a leader who can bridge the gap between quantum computing power and deep learning architectures.
In this role, you will define the core algorithms that will power autonomous systems for decades to come. You will work in a collaborative, high-performance environment alongside the world's brightest minds in quantum physics and neural engineering.
Why Join Us?
We offer competitive compensation, equity packages, and the opportunity to work on projects that will define the future of human-machine interaction.
Responsibilities
- Algorithm Development: Design and implement novel quantum machine learning algorithms capable of solving complex optimization problems that classical computers cannot handle.
- Model Optimization: Optimize existing quantum neural network architectures for scalability and efficiency on near-term quantum hardware.
- R&D Leadership: Conduct cutting-edge research to explore the intersection of quantum entanglement and neural pathways.
- Prototype Engineering: Build and validate prototypes for 2026-ready autonomous systems, including robotics and autonomous vehicles.
- Cross-Functional Collaboration: Partner with software engineers and data scientists to integrate quantum models into production pipelines.
- Technical Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
Qualifications
- Education: PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information or Machine Learning.
- Experience: Minimum of 5+ years of experience in AI/ML research or software development.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and familiarity with quantum computing libraries such as Qiskit or Cirq.
- Research Track Record: A strong publication record in top-tier conferences (NeurIPS, ICML, or Quantum Physics conferences).
- Problem Solving: Demonstrated ability to tackle ambiguous problems and derive novel solutions.
- Communication: Excellent technical writing and presentation skills for disseminating research findings.