Job Description
Are you ready to define the future of intelligence? Nexus Core Industries is at the forefront of the technological revolution, building the foundational systems for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead our Quantum-Neural Interface initiative.
In this pivotal role, you will not just apply existing models; you will architect the next generation of machine learning paradigms that merge classical computing with emerging quantum mechanics. We are looking for a thought leader who is passionate about the intersection of ethics, physics, and high-performance code.
Why Join Us?
- Work on cutting-edge technology that will define the industry standard for 2026.
- Competitive compensation package including equity options.
- Flexible remote-first culture with access to world-class research facilities.
Responsibilities
- Architect Next-Gen AI Models: Design and deploy scalable, high-performance AI systems tailored for the futuristic computing landscape of 2026.
- Quantum Integration: Bridge the complex gap between theoretical quantum physics and practical software engineering to optimize neural networks.
- Ethical AI Governance: Lead the development of robust ethical frameworks and bias mitigation strategies to ensure responsible deployment of sentient algorithms.
- System Architecture: Oversee the full software lifecycle, from theoretical design to cloud deployment on AWS and Azure, focusing on edge computing efficiency.
- Mentorship: Mentor a team of brilliant engineers in advanced Python, Rust, and quantum assembly languages, fostering a culture of innovation.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Computational Neuroscience, Physics, or a related technical field.
- Experience: 7+ years of experience in machine learning, deep learning, or reinforcement learning, with a focus on future-proof technologies.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Cirq, Qiskit, or similar).
- Architecture: Strong understanding of system architecture, microservices, and distributed computing systems.
- Soft Skills: Exceptional ability to communicate complex technical concepts to diverse stakeholders and a proven track record in cross-functional leadership.