Job Description
Are you ready to build the technology that will define the year 2026?
Nexus Future Systems is seeking a visionary Senior AI & Quantum Computing Engineer to lead the next generation of intelligent systems. Join a team that is pushing the boundaries of what is possible, merging Artificial Intelligence with the power of quantum mechanics to solve problems previously thought unsolvable.
In this high-impact role, you will not just be using existing tools; you will be architecting the stack of tomorrow. We are looking for a technical pioneer who thrives in ambiguity and possesses a deep understanding of the future of computing.
Why Join Us?
- Future-Proof Technology: Work on the bleeding edge of Quantum Machine Learning and Neural Interfaces.
- Elite Compensation: Competitive salary and equity package reflecting market leadership.
- Cutting-Edge Environment: Collaborate with top-tier researchers and engineers in a state-of-the-art facility.
Apply today to shape the future of intelligence.
Responsibilities
- Architect Quantum Neural Networks: Design and implement deep learning models optimized for quantum processors and hybrid classical-quantum architectures.
- Algorithm Development: Develop novel algorithms for large-scale generative AI, focusing on efficiency and scalability for 2026 standards.
- System Optimization: Optimize inference pipelines for next-gen silicon, reducing latency and energy consumption in AI workloads.
- R&D Leadership: Lead research initiatives exploring the intersection of Quantum Computing and Natural Language Processing (NLP).
- Cross-Functional Collaboration: Partner with hardware engineers to bridge the gap between software AI models and physical quantum hardware.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI/Quantum.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Quantum Computing.
- Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and quantum SDKs (Qiskit, Cirq, or similar).
- Mathematics: Strong foundation in linear algebra, probability, statistics, and differential equations.
- Infrastructure: Experience deploying AI models on cloud platforms (AWS, GCP, Azure) with a focus on edge computing and quantum cloud access.