Job Description
Welcome to the future of technology. Nexus 2026 Technologies is pioneering the next generation of artificial intelligence and quantum computing solutions. We are seeking a visionary Future AI & Quantum Engineer to lead our Research & Development division. In this pivotal role, you will architect the systems that will define the technological landscape of the year 2026 and beyond.
Our mission is to bridge the gap between theoretical physics and practical machine learning, creating scalable, ethical, and revolutionary AI systems. If you are passionate about pushing the boundaries of what is possible in software engineering and are looking to work in a high-performance environment, we want to hear from you.
Why Join Us?
- Work on projects that shape the future of humanity.
- Competitive compensation package with equity options.
- Flexible work environment in the heart of San Francisco.
- Access to state-of-the-art quantum hardware and neural clusters.
Responsibilities
- Design and implement next-generation neural network architectures capable of processing quantum data streams.
- Lead the R&D strategy for integrating Generative AI with classical computing systems.
- Optimize deep learning models for edge devices and large-scale cloud deployments.
- Mentor a team of junior engineers and data scientists, fostering a culture of innovation.
- Collaborate with cross-functional teams to translate theoretical research into market-ready products.
- Ensure system scalability, security, and ethical compliance in all AI implementations.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with a focus on AI/ML and distributed systems.
- Deep proficiency in Python, TensorFlow, PyTorch, and C++.
- Experience with quantum computing frameworks (Qiskit, Cirq) or a strong aptitude for learning emerging technologies.
- Proven track record of publishing research papers or leading innovative technical projects.
- Strong understanding of system design patterns and cloud infrastructure (AWS/GCP).