Job Description
Are you ready to engineer the future?
Nexus Horizon is at the forefront of the Project 2026 initiative—a revolutionary engineering framework designed to redefine the boundaries of Artificial Intelligence and Quantum Computing. We are seeking a visionary Lead Architect to spearhead the technical execution of this groundbreaking program.
In this pivotal role, you will bridge the gap between theoretical advanced physics and practical, scalable software architecture. You won't just be writing code; you will be building the foundational layers of a new era of technology. If you possess an insatiable curiosity and a desire to solve humanity's most complex computational challenges, we want to hear from you.
Responsibilities
- Lead the architectural design and implementation of the Project 2026 framework, ensuring high performance, security, and scalability.
- Collaborate with interdisciplinary teams of physicists, data scientists, and software engineers to integrate quantum algorithms into cloud-native infrastructure.
- Define technical standards, best practices, and coding guidelines for the Project 2026 ecosystem.
- Mentor senior engineers and junior developers, fostering a culture of innovation and continuous improvement.
- Conduct rigorous code reviews and architectural assessments to mitigate risks and ensure system integrity.
- Drive the migration of legacy systems to the next-generation Project 2026 architecture.
- Communicate complex technical concepts to stakeholders and non-technical audiences with clarity and precision.
Qualifications
- 10+ years of experience in software architecture, with at least 5 years in high-scale distributed systems.
- Deep expertise in Python, C++, and Rust, with demonstrated experience in Quantum Computing frameworks (e.g., Qiskit, Cirq).
- Strong understanding of AI/ML pipelines, neural network optimization, and edge computing.
- Proven track record of leading large-scale engineering teams and delivering projects on time.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to thrive in fast-paced, experimental environments.
- Master’s degree or PhD in Computer Science, Physics, or a related technical field is highly preferred.