Job Description
Shape the Future with Nexus 2026
Are you ready to architect the next era of artificial intelligence? Nexus 2026 is a cutting-edge research firm dedicated to building the technological infrastructure for the year 2026 and beyond. We are seeking a visionary Senior Quantum AI Architect to lead the development of scalable, high-performance algorithms that bridge the gap between quantum mechanics and deep learning.
In this high-impact role, you will not just write code; you will define the architectural standards for our revolutionary AI systems. You will work in a dynamic, elite environment where your innovations will have a tangible impact on global industries.
Why Join Us?
- Pioneering Work: Be at the forefront of the quantum computing revolution.
- Equity Package: Competitive stock options in a high-growth startup.
- Flexible Environment: Hybrid work model based in the heart of San Francisco.
Responsibilities
- Algorithm Design: Design and implement novel quantum-inspired algorithms and machine learning models optimized for future hardware.
- System Architecture: Lead the architectural design of large-scale AI systems, ensuring scalability, security, and efficiency.
- Roadmap Leadership: Collaborate with the R&D team to define technical milestones and the roadmap leading up to the 2026 deployment.
- Optimization: Optimize existing neural networks to run efficiently on emerging quantum processors and cloud-based simulators.
- Talent Development: Mentor junior engineers and data scientists, conducting technical interviews and code reviews to foster a culture of excellence.
- Research & Development: Stay ahead of the curve by researching the latest advancements in quantum physics and AI integration.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Physics, Applied Mathematics, or a related technical field.
- Experience: 5+ years of professional software engineering experience, with at least 2 years specifically in AI, Machine Learning, or Quantum Computing.
- Technical Skills: Proficiency in Python, C++, and quantum computing frameworks such as Qiskit, Cirq, or Pennylane.
- Theoretical Knowledge: Strong understanding of linear algebra, probability theory, statistics, and tensor calculus.
- Cloud Expertise: Experience deploying and managing models on cloud platforms (AWS, Azure, or GCP).
- Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.