Job Description
Nexus Future Labs is pioneering the infrastructure for the year 2026. We are seeking a visionary Future Systems Architect to lead our quantum-edge AI initiatives. In this role, you will bridge the gap between theoretical future-proofing and practical engineering, designing scalable systems that will define the next decade of technology. You will work directly with our CTO and R&D team to build the core architecture of our upcoming platform, ensuring stability, security, and scalability for the decade ahead.
Why Join Us?
- Work on cutting-edge projects that shape the future of technology.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to state-of-the-art computing resources and research libraries.
Responsibilities
- Design and implement the core system architecture for 2026-ready platforms, focusing on scalability and quantum readiness.
- Lead the technical strategy for AI integration, ensuring alignment with long-term business goals.
- Mentor senior engineers and junior developers, fostering a culture of innovation and continuous learning.
- Conduct code reviews and architectural audits to ensure best practices and security compliance.
- Collaborate with cross-functional teams (Product, Design, Security) to deliver high-quality software solutions.
- Research emerging technologies and propose innovative solutions to complex engineering problems.
Qualifications
- 10+ years of experience in software architecture, with a strong focus on cloud-native solutions (AWS, GCP, or Azure).
- Deep expertise in Python, Go, or Rust, with a proven track record of building distributed systems.
- Experience with Machine Learning frameworks (TensorFlow, PyTorch) and AI model deployment.
- Strong understanding of cybersecurity principles and data privacy regulations (GDPR, CCPA).
- Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
- Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).